Thu, 31 Mar 2016

Package RObsDat updated to version 16.03 with previous version 15.08 dated 2015-08-03

Title: Data Management for Hydrology and Beyond Using the Observations Data Model
Description: Data management in hydrology and other fields is facilitated with functions to enter and modify data in a database according to the Observations Data Model (ODM) standard by CUASHI (Consortium of Universities for the Advancement of Hydrologic Science). While this data model has been developed in hydrology, it is also useful for other fields. RObsDat helps in the setup of the database within one of the free database systems MariaDB, PostgreSQL or SQLite. It imports the controlled water vocabulary from the CUASHI web service and provides a smart interface between the analyst and the database: Already existing data entries are detected and duplicates avoided. The data import function converts different data table designs to make import simple. Cleaning and modifications of data are handled with a simple version control system. Variable and location names are treated in a user friendly way, accepting and processing multiple versions. When querying data from the database, it is stored in a spacetime objects within R for subsequent processing.
Author: Dominik Reusser
Maintainer: Dominik Reusser <reusser@pik-potsdam.de>

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Package RefManageR updated to version 0.10.12 with previous version 0.10.6 dated 2016-02-15

Title: Straightforward 'BibTeX' and 'BibLaTeX' Bibliography Management
Description: Provides tools for importing and working with bibliographic references. It greatly enhances the 'bibentry' class by providing a class 'BibEntry' which stores 'BibTeX' and 'BibLaTeX' references, supports 'UTF-8' encoding, and can be easily searched by any field, by date ranges, and by various formats for name lists (author by last names, translator by full names, etc.). Entries can be updated, combined, sorted, printed in a number of styles, and exported. 'BibTeX' and 'BibLaTeX' '.bib' files can be read into 'R' and converted to 'BibEntry' objects. Interfaces to 'NCBI Entrez', 'CrossRef', and 'Zotero' are provided for importing references and references can be created from locally stored 'PDF' files using 'Poppler'. Includes functions for citing and generating a bibliography with hyperlinks for documents prepared with 'RMarkdown' or 'RHTML'.
Author: Mathew W. McLean [aut, cre]
Maintainer: Mathew W. McLean <mathew.w.mclean@gmail.com>

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New package processcontrol with initial version 0.1.0
Package: processcontrol
Type: Package
Title: Statistical Process Control Charts
Version: 0.1.0
Authors@R: person(given = "Peter", family = "P. Lupo", role = c("aut", "cre"), email = "pplupo@gmail.com")
Description: Generate time series chart for individual values with mean and +/- 3 standard deviation lines and the corresponding mR chart with the upper control limit. Also execute the 8 Shewhart stability run tests and display the violations.
Depends: R (>= 3.1.0)
License: MIT + file LICENSE
LazyData: TRUE
Imports: plyr
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-03-31 19:07:52 UTC; u4u9
Author: Peter P. Lupo [aut, cre]
Maintainer: Peter P. Lupo <pplupo@gmail.com>
Repository: CRAN
Date/Publication: 2016-03-31 22:27:42

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Package fastcluster updated to version 1.1.20 with previous version 1.1.16 dated 2015-02-17

Title: Fast Hierarchical Clustering Routines for R and Python
Description: This is a two-in-one package which provides interfaces to both R and Python. It implements fast hierarchical, agglomerative clustering routines. Part of the functionality is designed as drop-in replacement for existing routines: linkage() in the SciPy package 'scipy.cluster.hierarchy', hclust() in R's 'stats' package, and the 'flashClust' package. It provides the same functionality with the benefit of a much faster implementation. Moreover, there are memory-saving routines for clustering of vector data, which go beyond what the existing packages provide. For information on how to install the Python files, see the file INSTALL in the source distribution.
Author: Daniel Müllner [aut, cph, cre]
Maintainer: Daniel Müllner <daniel@danifold.net>

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Package effsize updated to version 0.6.2 with previous version 0.6.1 dated 2016-02-26

Title: Efficient Effect Size Computation
Description: A collection of functions to compute the standardized effect sizes for experiments (Cohen d, Hedges g, Cliff delta, Vargha-Delaney A). The computation algorithms have been optimized to allow efficient computation even with very large data sets.
Author: Marco Torchiano [aut, cre]
Maintainer: Marco Torchiano <marco.torchiano@polito.it>

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Package text2vec updated to version 0.3.0 with previous version 0.2.0 dated 2016-01-10

Title: Fast Text Mining Framework for Vectorization and Word Embeddings
Description: Very fast and memory-friendly tools for text vectorization and state-of-the-art word embeddings (GloVe). This package provides a source-agnostic streaming API, which allows researchers to perform analysis of collections of documents which are much larger than available RAM. All core functions are parallelized to benefit from multicore machines.
Author: Dmitriy Selivanov [aut, cre], Lincoln Mullen [ctb]
Maintainer: Dmitriy Selivanov <selivanov.dmitriy@gmail.com>

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Package nimble (with last version 0.5) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2016-03-29 0.5

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Package poweRlaw updated to version 0.60.0 with previous version 0.50.0 dated 2015-08-11

Title: Analysis of Heavy Tailed Distributions
Description: An implementation of maximum likelihood estimators for a variety of heavy tailed distributions, including both the discrete and continuous power law distributions. Additionally, a goodness-of-fit based approach is used to estimate the lower cut-off for the scaling region.
Author: Colin Gillespie [aut, cre]
Maintainer: Colin Gillespie <csgillespie@gmail.com>

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Package popEpi updated to version 0.3.0 with previous version 0.2.1 dated 2015-09-29

Title: Functions for Epidemiological Analysis using Population Data
Description: Enables computation of various epidemiological statistics where the use of population data such as population counts and hazards is required. Relatively high computation speed achieved by using data.table.
Author: Joonas Miettinen [aut, cre], Matti Rantanen [aut], Karri Seppa [ctb]
Maintainer: Joonas Miettinen <joonas.miettinen@cancer.fi>

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Package MDMR updated to version 0.4.0 with previous version 0.3.3 dated 2016-03-23

Title: Multivariate Distance Matrix Regression
Description: Allows a user to conduct multivariate distance matrix regression using analytic p-values and compute measures of effect size.
Author: Daniel B. McArtor (dmcartor@nd.edu) [aut, cre]
Maintainer: Daniel B. McArtor <dmcartor@nd.edu>

Diff between MDMR versions 0.3.3 dated 2016-03-23 and 0.4.0 dated 2016-03-31

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Package GlobalFit updated to version 1.1 with previous version 1.0 dated 2015-04-29

Title: Bi-Level Optimization of Metabolic Network Models
Description: Initial metabolic networks often inaccurately predict in-silico growth or non-growth if compared to in-vivo data. This package refines metabolic network models by making networks changes (i.e., removing, adding, changing reversibility of reactions; adding and removing biomass metabolites) and simultaneously matching sets of experimental growth and non-growth data (e.g., KO-mutants, mutants grown under different media conditions,...)
Author: Daniel Hartleb
Maintainer: Daniel Hartleb <daniel.hartleb@hhu.de>

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New package collUtils with initial version 1.0.5
Package: collUtils
Type: Package
Title: Auxiliary Package for Package 'CollapsABEL'
Version: 1.0.5
Date: 2016-03-26
Author: Kaiyin Zhong, Fan Liu
Maintainer: Kaiyin Zhong <kindlychung@gmail.com>
Depends: R (>= 3.1.3), rJava (>= 0.9-6), Rcpp (>= 0.11.2)
LinkingTo: Rcpp
Description: Provides some low level functions for processing PLINK input and output files.
URL: https://bitbucket.org/kindlychung/collutils
BugReports: https://bitbucket.org/kindlychung/collutils/issues
Suggests: testthat
SystemRequirements: Java (>= 1.6)
License: GPL-3
NeedsCompilation: yes
Packaged: 2016-03-31 16:48:32 UTC; kaiyin
Repository: CRAN
Date/Publication: 2016-03-31 19:15:26

More information about collUtils at CRAN
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Package calACS updated to version 2.2.2 with previous version 2.2.1 dated 2016-01-31

Title: Calculations for All Common Subsequences
Description: Implements several string comparison algorithms, including calACS (count all common subsequences), lenACS (calculate the lengths of all common subsequences), and lenLCS (calculate the length of the longest common subsequence). Some algorithms differentiate between the more strict definition of subsequence, where a common subsequence cannot be separated by any other items, from its looser counterpart, where a common subsequence can be interrupted by other items. This difference is shown in the suffix of the algorithm (-Strict vs -Loose). For example, q-w is a common subsequence of q-w-e-r and q-e-w-r on the looser definition, but not on the more strict definition. calACSLoose Algorithm from Wang, H. All common subsequences (2007) IJCAI International Joint Conference on Artificial Intelligence, pp. 635-640.
Author: Alan Gu
Maintainer: Alan Gu <alan.on.ca@gmail.com>

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Package umx updated to version 1.2.0 with previous version 1.1.5 dated 2016-03-06

Title: Structural Equation Modelling in R with 'OpenMx'
Description: Create, run, and report structural equation and twin models quickly. If you're just starting out, try typing '?umx'.
Author: Timothy C Bates [aut, cre]
Maintainer: Timothy C Bates <timothy.c.bates@gmail.com>

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Package treeplyr updated to version 0.1.1 with previous version 0.1 dated 2016-03-03

Title: 'dplyr' Functionality for Matched Tree and Data Objects
Description: Matches phylogenetic trees and trait data, and allows simultaneous manipulation of the tree and data using 'dplyr'.
Author: Josef Uyeda
Maintainer: Josef Uyeda <josef.uyeda@gmail.com>

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Package TR8 updated to version 0.9.14 with previous version 0.9.13 dated 2015-03-22

Title: A Tool for Downloading Functional Traits Data for Plant Species
Description: Plant ecologists often need to collect "traits" data about plant species which are often scattered among various databases: TR8 contains a set of tools which take care of automatically retrieving some of those functional traits data for plant species from publicly available databases (Biolflor, The Ecological Flora of the British Isles, LEDA traitbase, Ellenberg values for Italian Flora, Mycorrhizal intensity databases, Catminat, BROT, PLANTS, Jepson Flora Project). The TR8 name, inspired by "car plates" jokes, was chosen since it both reminds of the main object of the package and is extremely short to type.
Author: Gionata Bocci <boccigionata@gmail.com>
Maintainer: Gionata Bocci <boccigionata@gmail.com>

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Package textmineR updated to version 1.7.0 with previous version 1.6.0 dated 2016-03-06

Title: Functions for Text Mining and Topic Modeling
Description: An aid for text mining in R, with a syntax that should be familiar to experienced R users. Provides a wrapper for several topic models that take similarly-formatted input and give similarly-formatted output. Has additional functionality for analyzing and diagnostics for topic models.
Author: "Thomas W. Jones <jones.thos.w@gmail.com>"
Maintainer: Thomas W. Jones <jones.thos.w@gmail.com>

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Package runjags updated to version 2.0.3-2 with previous version 2.0.2-8 dated 2015-09-14

Title: Interface Utilities, Model Templates, Parallel Computing Methods and Additional Distributions for MCMC Models in JAGS
Description: User-friendly interface utilities for MCMC models via Just Another Gibbs Sampler (JAGS), facilitating the use of parallel (or distributed) processors for multiple chains, automated control of convergence and sample length diagnostics, and evaluation of the performance of a model using drop-k validation or against simulated data. Template model specifications can be generated using a standard lme4-style formula interface to assist users less familiar with the BUGS syntax. A JAGS extension module provides additional distributions including the Pareto family of distributions, the DuMouchel prior and the half-Cauchy prior.
Author: Matthew Denwood [aut, cre], Martyn Plummer [cph] (Copyright holder of the code in /src/distributions/jags, src/distributions/DPar1.*, configure.ac, and original copyright holder of some modified code where indicated)
Maintainer: Matthew Denwood <md@sund.ku.dk>

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New package rtypeform with initial version 0.1.1
Package: rtypeform
Type: Package
Title: Interface to 'typeform' Results
Version: 0.1.1
Date: 2016-03-31
Authors@R: person(given="Colin", family="Gillespie", email="csgillespie@gmail.com", role = c("aut", "cre"))
Maintainer: Colin Gillespie <csgillespie@gmail.com>
URL: https://github.com/csgillespie/rtypeform
BugReports: https://github.com/csgillespie/rtypeform/issues
Description: An R interface to the 'typeform' (https://typeform.com) application program interface. Also provides functions for downloading your results.
License: GPL-2 | GPL-3
LazyData: TRUE
Imports: jsonlite
Suggests: testthat, curl
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-03-31 15:55:40 UTC; ncsg3
Author: Colin Gillespie [aut, cre]
Repository: CRAN
Date/Publication: 2016-03-31 18:47:59

More information about rtypeform at CRAN
Permanent link

Package RPANDA updated to version 1.2 with previous version 1.1 dated 2015-09-14

Title: Phylogenetic ANalyses of DiversificAtion
Description: Implements macroevolutionary analyses on phylogenetic trees. See Morlon et al. (2010) <DOI:10.1371/journal.pbio.1000493>, Morlon et al. (2011) <DOI:10.1073/pnas.1102543108>, Condamine et al. (2013) <DOI:10.1111/ele.12062>, Morlon et al. (2014) <DOI:10.1111/ele.12251>, Manceau et al. (2015) <DOI:10.1111/ele.12415>, Lewitus & Morlon (2016) <DOI:10.1093/sysbio/syv116>, and Drury et al. (2016) <DOI:10.1093/sysbio/syw020>.
Author: Hélène Morlon [aut, cre, cph]
Maintainer: Hélène Morlon <morlon@biologie.ens.fr>

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Package RJSDMX updated to version 1.6 with previous version 1.5 dated 2015-11-26

Title: R Interface to SDMX Web Services
Description: Provides functions to retrieve data and metadata from providers that disseminate data by means of SDMX web services. SDMX (Statistical Data and Metadata eXchange) is a standard that has been developed with the aim of simplifying the exchange of statistical information. More about the SDMX standard and the SDMX Web Services can be found at: http://sdmx.org .
Author: Attilio Mattiocco, Diana Nicoletti, Gianpaolo Lopez, Banca d'Italia
Maintainer: Attilio Mattiocco <attilio.mattiocco@bancaditalia.it>

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New package rdnb with initial version 0.1-0
Package: rdnb
Type: Package
Title: R Interface to the Deutsche Nationalbibliothek (German National Library) API
Version: 0.1-0
Date: 2016-03-30
Author: Christian Graul
Maintainer: Christian Graul <christian.graul@gmail.com>
Description: A wrapper for the Deutsche Nationalbibliothek (German National Library) API, available at <http://www.dnb.de>. The German National Library is the German central archival library, collecting, archiving, bibliographically classifying all German and German-language publications from 1913, foreign publications about Germany, translations of German works, and the works of German-speaking emigrants published abroad between 1933 and 1945. A personal access token is required for usage.
URL: https://github.com/chgrl/rdnb
License: MIT + file LICENSE
Imports: brew, grDevices, httr, methods, utils, stats, xml2
Suggests: knitr
NeedsCompilation: no
Packaged: 2016-03-30 20:45:30 UTC; Christian
Repository: CRAN
Date/Publication: 2016-03-31 17:39:28

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Package plantecophys updated to version 1.0-3 with previous version 1.0-2 dated 2016-03-18

Title: Modelling and Analysis of Leaf Gas Exchange Data
Description: Coupled leaf gas exchange model, A-Ci curve simulation and fitting, leaf energy balance using Penman-Monteith, Cowan-Farquhar optimization, unit conversions.
Author: Remko Duursma [aut, cre]
Maintainer: Remko Duursma <remkoduursma@gmail.com>

Diff between plantecophys versions 1.0-2 dated 2016-03-18 and 1.0-3 dated 2016-03-31

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Package mvabund updated to version 3.11.7 with previous version 3.11.5 dated 2015-11-24

Title: Statistical Methods for Analysing Multivariate Abundance Data
Description: A set of tools for displaying, modeling and analysing multivariate abundance data in community ecology. See 'mvabund-package.Rd' for details of overall package organization. The package is implemented with the Gnu Scientific Library (http://www.gnu.org/software/gsl/) and Rcpp (http://dirk.eddelbuettel.com/code/rcpp.html) R / C++ classes.
Author: Yi Wang, Ulrike Naumann, Stephen Wright, Dirk Eddelbuettel and David Warton
Maintainer: David Warton <David.Warton@unsw.edu.au>

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Package mclust updated to version 5.2 with previous version 5.1 dated 2015-10-27

Title: Gaussian Mixture Modelling for Model-Based Clustering, Classification, and Density Estimation
Description: Gaussian finite mixture models fitted via EM algorithm for model-based clustering, classification, and density estimation, including Bayesian regularization, dimension reduction for visualisation, and resampling-based inference.
Author: Chris Fraley [aut], Adrian E. Raftery [aut], Luca Scrucca [aut, cre], Thomas Brendan Murphy [ctb], Michael Fop [ctb]
Maintainer: Luca Scrucca <luca@stat.unipg.it>

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Package MaxentVariableSelection updated to version 1.0-1 with previous version 1.0-0 dated 2015-09-22

Title: Selecting the Best Set of Relevant Environmental Variables along with the Optimal Regularization Multiplier for Maxent Niche Modeling
Description: Complex niche models show low performance in identifying the most important range-limiting environmental variables and in transferring habitat suitability to novel environmental conditions (Warren and Seifert, 2011; Warren et al., 2014). This package helps to identify the most important set of uncorrelated variables and to fine-tune Maxent's regularization multiplier. In combination, this allows to constrain complexity and increase performance of Maxent niche models (assessed by information criteria, such as AICc (Akaike, 1974) , and by the area under the receiver operating characteristic (AUC) (Fielding and Bell, 1997). Users of this package should be familiar with Maxent niche modelling.
Author: Alexander Jueterbock
Maintainer: "Alexander Jueterbock" <Alexander-Jueterbock@web.de>

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New package IntClust with initial version 0.0.2
Package: IntClust
Type: Package
Title: Integrated Data Analysis via Clustering
Version: 0.0.2
Date: 2016-03-31
Author: Marijke Van Moerbeke
Maintainer: Marijke Van Moerbeke <marijke.vanmoerbeke@uhasselt.be>
Description: Several integrative data methods in which information of objects from different data sources can be combined are included in the IntClust package. As a single data source is limited in its point of view, this provides more insight and the opportunity to investigate how the variables are interconnected. Clustering techniques are to be applied to the combined information. For now, only agglomerative hierarchical clustering is implemented. Further, differential gene expression and pathway analysis can be conducted on the clusters. Plotting functions are available to visualize and compare results of the different methods.
License: GPL-3
Imports: ade4,a4Core, Biobase, cluster, plotrix, plyr, gplots, gridExtra, limma, prodlim, gtools,e1071,pls,stats,utils,graphics,FactoMineR,analogue,lsa, SNFtool,grDevices,ggplot2
Suggests: MLP, biomaRt, org.Hs.eg.db, a4Base
NeedsCompilation: no
Packaged: 2016-03-31 11:23:35 UTC; lucp8409
Depends: R (>= 2.10)
Repository: CRAN
Date/Publication: 2016-03-31 17:38:30

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Package gstat updated to version 1.1-3 with previous version 1.1-2 dated 2016-02-23

Title: Spatial and Spatio-Temporal Geostatistical Modelling, Prediction and Simulation
Description: Variogram modelling; simple, ordinary and universal point or block (co)kriging; spatio-temporal kriging; sequential Gaussian or indicator (co)simulation; variogram and variogram map plotting utility functions.
Author: Edzer Pebesma [aut, cre], Benedikt Graeler [aut]
Maintainer: Edzer Pebesma <edzer.pebesma@uni-muenster.de>

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Package ggtern updated to version 2.1.1 with previous version 2.1.0 dated 2016-03-18

Title: An Extension to 'ggplot2', for the Creation of Ternary Diagrams
Description: Extends the functionality of 'ggplot2', providing the capability to plot ternary diagrams for (subset of) the 'ggplot2' geometries. Additionally, 'ggtern' has implemented several NEW geometries which are unavailable to the standard 'ggplot2' release. For further examples and documentation, please proceed to the 'ggtern' website.
Author: Nicholas Hamilton [aut, cre]
Maintainer: Nicholas Hamilton <nick@ggtern.com>

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Package emuR updated to version 0.1.7 with previous version 0.1.6 dated 2016-03-24

Title: Main Package of the EMU Speech Database Management System
Description: Provides the next iteration of the EMU Speech Database Management System (EMU_SDMS) with database management, data extraction, data preparation and data visualization facilities.
Author: Raphael Winkelmann [aut, cre], Klaus Jaensch [aut, ctb], Steve Cassidy [aut, ctb], Jonathan Harrington [aut, ctb]
Maintainer: Raphael Winkelmann <raphael@phonetik.uni-muenchen.de>

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New package ergm.rank with initial version 1.0.1
Package: ergm.rank
Version: 1.0.1
Date: 2016-03-30
Title: Fit, Simulate and Diagnose Exponential-Family Models for Rank-Order Relational Data
Authors@R: c( person("Pavel N.", "Krivitsky", role=c("aut","cre"), email="pavel@uow.edu.au"), person("Carter T.", "Butts", role=c("ctb"), email="buttsc@uci.edu"), person("Mark S.", "Handcock", role=c("ctb"), email="handcock@stat.ucla.edu"), person("David R.", "Hunter", role=c("ctb"), email="dhunter@stat.psu.edu"))
LinkingTo: ergm
Depends: statnet.common (>= 3.1), ergm (>= 3.5), network
Description: A set of extensions for the 'ergm' package to fit weighted networks whose edge weights are ranks.
License: GPL-3 + file LICENSE
URL: http://statnet.org
NeedsCompilation: yes
Packaged: 2016-03-30 21:25:39 UTC; pavel
Author: Pavel N. Krivitsky [aut, cre], Carter T. Butts [ctb], Mark S. Handcock [ctb], David R. Hunter [ctb]
Maintainer: Pavel N. Krivitsky <pavel@uow.edu.au>
Repository: CRAN
Date/Publication: 2016-03-31 17:39:02

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Package doBy updated to version 4.5-15 with previous version 4.5-14 dated 2015-12-29

Title: Groupwise Statistics, LSmeans, Linear Contrasts, Utilities
Description: The facilities can roughly be grouped as: 1) Facilities for groupwise computations of summary statistics and other facilities for working with grouped data: 'do' something to data stratified 'by' some variables. 2) LSmeans (least-squares means), general linear contrasts. 3) Miscellaneous other utilities.
Author: Sren Hjsgaard <sorenh@math.aau.dk> and Ulrich Halekoh <uhalekoh@health.sdu.dk>
Maintainer: Sren Hjsgaard <sorenh@math.aau.dk>

Diff between doBy versions 4.5-14 dated 2015-12-29 and 4.5-15 dated 2016-03-31

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Package data.tree updated to version 0.3.5 with previous version 0.3.0 dated 2016-02-12

Title: General Purpose Hierarchical Data Structure
Description: Create tree structures from hierarchical data, and traverse the tree in various orders. Aggregate, cumulate, print, plot, convert to and from data.frame and more. Useful for decision trees, machine learning, finance, conversion from and to JSON, and many other applications.
Author: Christoph Glur
Maintainer: Christoph Glur <christoph.glur@ipub.com>

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Package cancerTiming updated to version 3.1.6 with previous version 3.1.5 dated 2016-02-09

Title: Estimation of Temporal Ordering of Cancer Abnormalities
Description: Timing copy number changes using estimates of mutational allele frequency from resequencing of tumor samples.
Author: Elizabeth Purdom
Maintainer: Elizabeth Purdom <epurdom@stat.berkeley.edu>

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New package Biograph with initial version 2.0.6
Package: Biograph
Type: Package
Title: Explore Life Histories
Version: 2.0.6
Depends: R (>= 3.0.0)
Imports: mvna,etm,msm,Epi,lubridate,reshape,plyr,survival,mstate,ggplot2, grDevices,graphics,stats
Date: 2016-03-31
Author: Frans Willekens
Maintainer: Frans Willekens <willekens@nidi.nl>
Description: Transition rates are computed from transitions and exposures.Useful graphics and life-course indicators are computed. The package structures the data for multistate statistical and demographic modeling of life histories.
License: GPL-2
LazyLoad: yes
Packaged: 2016-03-30 21:46:05 UTC; frans
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2016-03-31 17:50:43

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Package BAS updated to version 1.1.0 with previous version 1.0.9 dated 2016-02-03

Title: Bayesian Model Averaging using Bayesian Adaptive Sampling
Description: Package for Bayesian Model Averaging in linear models and generalized linear models using stochastic or deterministic sampling without replacement from posterior distributions. Prior distributions on coefficients are from Zellner's g-prior or mixtures of g-priors corresponding to the Zellner-Siow Cauchy Priors or the mixture of g-priors from Liang et al (2008) <http://dx.doi.org/10.1198/016214507000001337> for linear models or mixtures of g-priors in GLMs of Li and Clyde (2015) <http://arxiv.org/abs/1503.06913 >. Other model selection criteria include AIC and BIC. Sampling probabilities may be updated based on the sampled models using Sampling w/out Replacement or an MCMC algorithm samples models using the BAS tree structure as an efficient hash table. Allows uniform or beta-binomial prior distributions on models and for large p truncated priors on the model space. The user may force variables to always be included.
Author: Merlise Clyde [aut, cre, cph], Michael Littman [ctb], Quanli Wang [ctb], Joyee Ghosh [ctb], Yingbo Li [ctb]
Maintainer: Merlise Clyde <clyde@stat.duke.edu>

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Package apex updated to version 1.0.2 with previous version 1.0.1 dated 2015-09-07

Title: Phylogenetic Methods for Multiple Gene Data
Description: Toolkit for the analysis of multiple gene data. Apex implements the new S4 classes 'multidna', 'multiphyDat' and associated methods to handle aligned DNA sequences from multiple genes.
Author: Thibaut Jombart [aut, cre], Zhian Namir Kamvar [aut], Klaus Schliep [aut], Eric Archer [aut], Rebecca Harris [aut]
Maintainer: Thibaut Jombart <t.jombart@imperial.ac.uk>

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New package AUtests with initial version 0.97
Package: AUtests
Title: Approximate Unconditional and Permutation Tests
Version: 0.97
Author: Arjun Sondhi, Ken Rice
Maintainer: Arjun Sondhi <asondhi@uw.edu>
Description: Performs approximate unconditional and permutation testing for 2x2 contingency tables. Motivated by testing for disease association with rare genetic variants in case-control studies. When variants are extremely rare, these tests give better control of Type I error than standard tests.
Depends: R (>= 3.1.2)
License: GPL-2
Imports: logistf
LazyLoad: yes
Suggests: knitr
VignetteBuilder: knitr
RoxygenNote: 5.0.1
Packaged: 2016-03-31 04:26:09 UTC; Arjun
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2016-03-31 17:38:24

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Package aop updated to version 1.0.0 with previous version 0.99.5 dated 2015-06-16

Title: Adverse Outcome Pathway Analysis
Description: Provides tools for analyzing adverse outcome pathways (AOPs) for pharmacological and toxicological research. Functionality includes the ability to perform causal network analysis of networks developed in and exported from Cytoscape or existing as R graph objects, and identifying the point of departure/screening/risk value from concentration- response data.
Author: Lyle D. Burgoon <Lyle.D.Burgoon@usace.army.mil>
Maintainer: Lyle D. Burgoon <Lyle.D.Burgoon@usace.army.mil>

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Wed, 30 Mar 2016

New package ssmn with initial version 1.0
Package: ssmn
Type: Package
Title: Skew Scale Mixtures of Normal Distributions
Version: 1.0
Date: 2016-04-01
Author: Luis Benites Sanchez and Clecio da Silva Ferreira
Maintainer: Luis Benites Sanchez <lbenitesanchez@gmail.com>
Imports: mnormt, moments, truncdist, sn
Description: Performs the EM algorithm for regression models using Skew Scale Mixtures of Normal Distributions.
License: GPL (>= 2)
LazyData: TRUE
NeedsCompilation: no
Packaged: 2016-03-30 19:03:09 UTC; ra133513
Repository: CRAN
Date/Publication: 2016-03-30 21:13:07

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New package plsVarSel with initial version 0.7
Encoding: UTF-8
Package: plsVarSel
Type: Package
Title: Variable Selection in Partial Least Squares
Version: 0.7
Date: 2016-03-30
Author: Kristian Hovde Liland, Tahir Mehmood, Solve Sæbø
Maintainer: Kristian Hovde Liland <kristian.liland@nmbu.no>
Description: Interfaces and methods for variable selection in Partial Least Squares. The methods include filter methods, wrapper methods and embedded methods.
License: GPL (>= 2)
Imports: grDevices, graphics, genalg, mvtnorm, bdsmatrix, pls, MASS, progress, parallel, stats
Suggests: Rmpi
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-03-30 18:39:43 UTC; kristian.liland
Repository: CRAN
Date/Publication: 2016-03-30 21:13:05

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Package SocialMediaLab updated to version 0.20.0 with previous version 0.19.0 dated 2015-11-26

Title: Tools for Collecting Social Media Data and Generating Networks for Analysis
Description: A suite of tools for collecting and constructing networks from social media data. Provides easy-to-use functions for collecting data across popular platforms (Instagram, Facebook, Twitter, and YouTube) and generating different types of networks for analysis.
Author: Timothy Graham & Robert Ackland with contribution from Chung-hong Chan
Maintainer: Timothy Graham <timothy.graham3@uq.net.au>

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Package relimp updated to version 1.0-5 with previous version 1.0-4 dated 2015-02-03

Title: Relative Contribution of Effects in a Regression Model
Description: Functions to facilitate inference on the relative importance of predictors in a linear or generalized linear model, and a couple of useful Tcl/Tk widgets.
Author: David Firth with contributions from Heather Turner and John Fox
Maintainer: David Firth <d.firth@warwick.ac.uk>

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Package qvcalc updated to version 0.9-0 with previous version 0.8-9 dated 2015-02-03

Title: Quasi Variances for Factor Effects in Statistical Models
Description: Functions to compute quasi variances and associated measures of approximation error.
Author: David Firth
Maintainer: David Firth <d.firth@warwick.ac.uk>

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Package pacman updated to version 0.4.1 with previous version 0.3.0 dated 2015-02-20

Title: Package Management Tool
Description: Tools to more conveniently perform tasks associated with add-on packages. pacman conveniently wraps library and package related functions and names them in an intuitive and consistent fashion. It seeks to combine functionality from lower level functions which can speed up workflow.
Author: Tyler Rinker [aut, cre, ctb], Dason Kurkiewicz [aut, ctb], Keith Hughitt [ctb]
Maintainer: Tyler Rinker <tyler.rinker@gmail.com>

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Package merTools updated to version 0.2.1 with previous version 0.2.0 dated 2016-02-19

Title: Tools for Analyzing Mixed Effect Regression Models
Description: Provides methods for extracting results from mixed-effect model objects fit with the 'lme4' package. Allows construction of prediction intervals efficiently from large scale linear and generalized linear mixed-effects models.
Author: Jared E. Knowles [aut, cre], Carl Frederick [aut]
Maintainer: Jared E. Knowles <jknowles@gmail.com>

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Package locits updated to version 1.7.1 with previous version 1.4 dated 2013-10-18

Title: Test of Stationarity and Localized Autocovariance
Description: Provides test of second-order stationarity for time series (for dyadic and arbitrary-n length data). Provides localized autocovariance, with confidence intervals, for locally stationary (nonstationary) time series.
Author: Guy Nason [aut, cre]
Maintainer: Guy Nason <g.p.nason@bristol.ac.uk>

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Package gplots updated to version 3.0.1 with previous version 3.0.0 dated 2016-03-28

Title: Various R Programming Tools for Plotting Data
Description: Various R programming tools for plotting data, including: - calculating and plotting locally smoothed summary function as ('bandplot', 'wapply'), - enhanced versions of standard plots ('barplot2', 'boxplot2', 'heatmap.2', 'smartlegend'), - manipulating colors ('col2hex', 'colorpanel', 'redgreen', 'greenred', 'bluered', 'redblue', 'rich.colors'), - calculating and plotting two-dimensional data summaries ('ci2d', 'hist2d'), - enhanced regression diagnostic plots ('lmplot2', 'residplot'), - formula-enabled interface to 'stats::lowess' function ('lowess'), - displaying textual data in plots ('textplot', 'sinkplot'), - plotting a matrix where each cell contains a dot whose size reflects the relative magnitude of the elements ('balloonplot'), - plotting "Venn" diagrams ('venn'), - displaying Open-Office style plots ('ooplot'), - plotting multiple data on same region, with separate axes ('overplot'), - plotting means and confidence intervals ('plotCI', 'plotmeans'), - spacing points in an x-y plot so they don't overlap ('space').
Author: Gregory R. Warnes, Ben Bolker, Lodewijk Bonebakker, Robert Gentleman, Wolfgang Huber Andy Liaw, Thomas Lumley, Martin Maechler, Arni Magnusson, Steffen Moeller, Marc Schwartz, Bill Venables
Maintainer: Gregory R. Warnes <greg@warnes.net>

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Package GOplot updated to version 1.0.2 with previous version 1.0.1 dated 2015-07-16

Title: Visualization of Functional Analysis Data
Description: Implementation of multilayered visualizations for enhanced graphical representation of functional analysis data. It combines and integrates omics data derived from expression and functional annotation enrichment analyses. Its plotting functions have been developed with an hierarchical structure in mind: starting from a general overview to identify the most enriched categories (modified bar plot, bubble plot) to a more detailed one displaying different types of relevant information for the molecules in a given set of categories (circle plot, chord plot, cluster plot, Venn diagram, heatmap).
Author: Wencke Walter [aut, cre], Fatima Sanchez-Cabo [aut]
Maintainer: Wencke Walter <wencke.walter@arcor.de>

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Package gaston updated to version 1.4.5 with previous version 1.4 dated 2016-02-10

Title: Genetic Data Manipulation (Quality Control, GRM and LD Computations, PCA), Linear Mixed Models (AIREML Algorithm), Association Testing
Description: Manipulation of genetic data (SNPs), computation of Genetic Relationship Matrix, Linkage Disequilibrium, etc. Efficient algorithms for Linear Mixed Model (AIREML, diagonalization trick).
Author: Hervé Perdry & Claire Dandine-Roulland
Maintainer: Hervé Perdry <herve.perdry@u-psud.fr>

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Package equateIRT updated to version 2.0 with previous version 1.2-3 dated 2016-02-04

Title: Direct, Chain and Average Equating Coefficients with Standard Errors Using IRT Methods
Description: Computation of direct, chain and average (bisector) equating coefficients with standard errors using Item Response Theory (IRT) methods for dichotomous items. Test scoring can be performed by true score equating and observed score equating methods.
Author: Michela Battauz
Maintainer: Michela Battauz <michela.battauz@uniud.it>

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New package EMSC with initial version 0.7
Package: EMSC
Type: Package
Title: Extended Multiplicative Signal Correction
Version: 0.7
Date: 2016-03-30
Author: Kristian Hovde Liland
Maintainer: Kristian Hovde Liland <kristian.liland@nofima.no>
Description: Background correction of spectral like data. Handles variations in scaling, polynomial baselines and interferents. Parameters for corrections are stored for further analysis, and spectra are corrected accordingly.
License: GPL-2
LazyData: TRUE
Depends: R (>= 2.10)
Imports: pracma
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-03-30 18:25:51 UTC; kristian.liland
Repository: CRAN
Date/Publication: 2016-03-30 21:04:16

More information about EMSC at CRAN
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Package EDISON updated to version 1.1.1 with previous version 1.1 dated 2014-09-14

Title: Network Reconstruction and Changepoint Detection
Description: Package EDISON (Estimation of Directed Interactions from Sequences Of Non-homogeneous gene expression) runs an MCMC simulation to reconstruct networks from time series data, using a non-homogeneous, time-varying dynamic Bayesian network. Networks segments and changepoints are inferred concurrently, and information sharing priors provide a reduction of the inference uncertainty.
Author: Frank Dondelinger, Sophie Lebre
Maintainer: Frank Dondelinger <fdondelinger.work@gmail.com>

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 65 files changed, 243 insertions(+), 155 deletions(-)

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Package edfReader updated to version 1.1.0 with previous version 1.0.0 dated 2016-02-07

Title: Reading EDF(+) and BDF(+) Files
Description: Reads European Data Format files EDF and EDF+, see http://www.edfplus.info, BioSemi Data Format files BDF, see http://www.biosemi.com/faq/file_format.htm, and BDF+ files, see http://www.teuniz.net/edfbrowser/bdfplus%20format%20description.html. The files are read in two steps: first the header is read and then the signals (using the header object as a parameter).
Author: Jan Vis [aut, cre]
Maintainer: Jan Vis <jan@visconsultancy.eu>

Diff between edfReader versions 1.0.0 dated 2016-02-07 and 1.1.0 dated 2016-03-30

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 edfReader-1.1.0/edfReader/R/readSignalFunctions.R                   |  492 ++++--
 edfReader-1.1.0/edfReader/R/s3functions.R                           |  418 +++--
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 edfReader-1.1.0/edfReader/tests/testthat/testReadEdfSignalsParams.R |  132 +
 edfReader-1.1.0/edfReader/vignettes/edfReaderVignette.Rmd           |  275 ++-
 35 files changed, 1722 insertions(+), 1098 deletions(-)

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Package choroplethr updated to version 3.5.2 with previous version 3.5.1 dated 2016-03-25

Title: Simplify the Creation of Choropleth Maps in R
Description: Choropleths are thematic maps where geographic regions, such as states, are colored according to some metric, such as the number of people who live in that state. This package simplifies this process by 1. Providing ready-made functions for creating choropleths of common maps. 2. Providing data and API connections to interesting data sources for making choropleths. 3. Providing a framework for creating choropleths from arbitrary shapefiles. 4. Overlaying those maps over reference maps from Google Maps. Please see the vignettes for more details.
Author: Ari Lamstein <arilamstein@gmail.com>[cre, aut], Brian P Johnson <brian@pjohnson.info> [ctb, frontend animation code]
Maintainer: Ari Lamstein <arilamstein@gmail.com>

Diff between choroplethr versions 3.5.1 dated 2016-03-25 and 3.5.2 dated 2016-03-30

 DESCRIPTION                            |   12 ++++++------
 MD5                                    |   10 +++++-----
 NEWS                                   |    5 +++++
 R/startup_messages.R                   |    2 +-
 inst/doc/a-introduction.html           |   16 +++++++++++++++-
 inst/doc/h-creating-your-own-maps.html |    2 +-
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New package bpa with initial version 0.1
Package: bpa
Type: Package
Title: Basic Pattern Analysis
Version: 0.1
Date: 2016-03-30
Authors@R: person("Brandon", "Greenwell", email = "greenwell.brandon@gmail.com", role = c("aut", "cre"))
Description: Run basic pattern analyses on character sets, digits, or combined input containing both characters and numeric digits. Useful for data cleaning and for identifying columns containing multiple or nonstandard formats.
Depends: base
Imports: magrittr, plyr
Suggests: testthat
License: GPL (>= 2)
URL: https://github.com/bgreenwell/bpa
BugReports: https://github.com/bgreenwell/bpa/issues
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-03-30 18:07:40 UTC; w108bmg
Author: Brandon Greenwell [aut, cre]
Maintainer: Brandon Greenwell <greenwell.brandon@gmail.com>
Repository: CRAN
Date/Publication: 2016-03-30 21:04:17

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Package blavaan updated to version 0.1-3 with previous version 0.1-2 dated 2016-01-27

Title: Bayesian Latent Variable Analysis
Description: Fit a variety of Bayesian latent variable models, including confirmatory factor analysis, structural equation models, and latent growth curve models.
Author: Edgar Merkle [aut, cre], Yves Rosseel [aut]
Maintainer: Edgar Merkle <merklee@missouri.edu>

Diff between blavaan versions 0.1-2 dated 2016-01-27 and 0.1-3 dated 2016-03-30

 DESCRIPTION             |    8 ++--
 MD5                     |   14 +++----
 NEWS                    |    9 ++++
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 R/blav_utils.R          |   34 +++++++++++++++++
 R/blavaan.R             |   68 ++++++++++++++++++++++++----------
 R/lav_export_jags.R     |   95 ++++++++++++++++++++++++++++++++++--------------
 R/set_priors.R          |    2 +
 8 files changed, 174 insertions(+), 58 deletions(-)

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Package AHR updated to version 1.4 with previous version 1.3 dated 2015-10-30

Title: Estimation and Testing of Average Hazard Ratios
Description: Methods for estimation of multivariate average hazard ratios as defined by Kalbfleisch and Prentice. The underlying survival functions of the event of interest in each group can be estimated using either the (weighted) Kaplan-Meier estimator or the Aalen-Johansen estimator for the transition probabilities in Markov multi-state models. Right-censored and left-truncated data is supported. Moreover, the difference in restricted mean survival can be estimated.
Author: Matthias Brueckner <mwb@math.uni-bremen.de>
Maintainer: Matthias Brueckner <mwb@math.uni-bremen.de>

Diff between AHR versions 1.3 dated 2015-10-30 and 1.4 dated 2016-03-30

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 26 files changed, 191 insertions(+), 142 deletions(-)

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Package AbsFilterGSEA updated to version 1.2 with previous version 1.0 dated 2016-03-16

Title: Improved False Positive Control of Gene-Permuting GSEA with Absolute Filtering
Description: Gene-set enrichment analysis (GSEA) is popularly used to assess the enrichment of differential signal in a pre-defined gene-set without using a cutoff threshold for differential expression. The significance of enrichment is evaluated through sample- or gene-permutation method. Although the sample-permutation approach is highly recommended due to its good false positive control, we must use gene-permuting method if the number of samples is small. However, such gene-permuting GSEA (or preranked GSEA) generates a lot of false positive gene-sets as the inter-gene correlation in each gene set increases. These false positives can be successfully reduced by filtering with the one-tailed absolute GSEA results. This package provides a function that performs gene-permuting GSEA calculation with or without the absolute filtering. Without filtering, users can perform (original) two-tailed or one-tailed absolute GSEA.
Author: Sora Yoon <yoonsora@unist.ac.kr>
Maintainer: Sora Yoon <yoonsora@unist.ac.kr>

Diff between AbsFilterGSEA versions 1.0 dated 2016-03-16 and 1.2 dated 2016-03-30

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 MD5                   |   18 +++++-----
 NAMESPACE             |   18 ++++++----
 R/GenePermGSEA.R      |   85 ++++++++++++++++++++++++++++++++++++++++----------
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 data/example.rda      |binary
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 10 files changed, 133 insertions(+), 68 deletions(-)

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New package bdpopt with initial version 1.0-1
Package: bdpopt
Version: 1.0-1
Date: 2016-03-29
Title: Optimisation of Bayesian Decision Problems
Author: Sebastian Jobjrnsson [aut, cre]
Maintainer: Sebastian Jobjrnsson <jobjorns@chalmers.se>
Depends: R (>= 3.0.2)
Description: Optimisation of the expected utility in single-stage and multi-stage Bayesian decision problems. The expected utility is estimated by simulation. For single-stage problems, JAGS is used to draw MCMC samples.
SystemRequirements: JAGS (>= 3.4.0) (see http://mcmc-jags.sourceforge.net)
Imports: rjags (>= 3-15), coda (>= 0.17-1), parallel (>= 3.0.2)
License: GPL-2
LazyData: true
Encoding: latin1
NeedsCompilation: no
Packaged: 2016-03-30 07:50:34 UTC; jobjorns
Repository: CRAN
Date/Publication: 2016-03-30 10:14:45

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Package TDboost updated to version 1.2 with previous version 1.1 dated 2015-03-15

Title: A Boosted Tweedie Compound Poisson Model
Description: A boosted Tweedie compound Poisson model using the gradient boosting. It is capable of fitting a flexible nonlinear Tweedie compound Poisson model (or a gamma model) and capturing interactions among predictors.
Author: Yi Yang <yi.yang6@mcgill.ca>, Wei Qian <wxqsma@rit.edu>, Hui Zou <hzou@stat.umn.edu>
Maintainer: Yi Yang <yi.yang6@mcgill.ca>

Diff between TDboost versions 1.1 dated 2015-03-15 and 1.2 dated 2016-03-30

 ChangeLog                 |   12 ++++++++++++
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 MD5                       |   22 +++++++++++-----------
 NAMESPACE                 |   10 ++++++++++
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 12 files changed, 58 insertions(+), 40 deletions(-)

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New package setter with initial version 0.0-1
Package: setter
Title: Mutators that Work with Pipes
Version: 0.0-1
Date: 2016-03-30
Authors@R: person("Richard", "Cotton", email = "richierocks@gmail.com", role = c("aut", "cre"))
Description: Mutators to set attributes of variables, that work well in a pipe (much like stats::setNames()).
URL: https://bitbucket.org/richierocks/setter
BugReports: https://bitbucket.org/richierocks/setter/issues
Depends: R (>= 3.0.0), assertive.base (>= 0.0-5)
Suggests: magrittr, testthat
License: Unlimited
LazyData: true
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-03-30 05:54:47 UTC; rjc2003
Author: Richard Cotton [aut, cre]
Maintainer: Richard Cotton <richierocks@gmail.com>
Repository: CRAN
Date/Publication: 2016-03-30 08:14:34

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New package RcppMLPACK with initial version 1.0.10-3
Package: RcppMLPACK
Type: Package
Title: Rcpp Integration for MLPACK Library
Version: 1.0.10-3
Date: 2016-03-28
Author: Qiang Kou, Ryan Curtin
Maintainer: Qiang Kou <qkou@umail.iu.edu>
Description: MLPACK is an intuitive, fast, scalable C++ machine learning library, meant to be a machine learning analog to LAPACK. It aims to implement a wide array of machine learning methods and function as a Swiss army knife for machine learning researchers: MLPACK is from http://www.mlpack.org/: sources are included in the package.
OS_type: unix SystemRequirements: A C++11 compiler. Version 4.6.* of g++ (as currently in Rtools) is insufficient; versions 4.8.*, 4.9.* or later will be fine.
License: LGPL (>= 2)
Depends: R (>= 3.2.0)
Imports: Rcpp (>= 0.12.4)
LinkingTo: Rcpp, RcppArmadillo, BH
URL: https://github.com/thirdwing/RcppMLPACK, http://www.mlpack.org/
BugReports: https://github.com/thirdwing/RcppMLPACK/issues
NeedsCompilation: yes
Packaged: 2016-03-29 20:01:57 UTC; root
Repository: CRAN
Date/Publication: 2016-03-30 08:18:46

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Package phonics updated to version 0.7.3 with previous version 0.6.3 dated 2016-02-15

Title: Phonetic Spelling Algorithms
Description: Provides a collection of phonetic algorithms including Soundex, Metaphone, NYSIIS, Caverphone, and others.
Author: James P. Howard, II [aut, cre]
Maintainer: "James P. Howard, II" <jh@jameshoward.us>

Diff between phonics versions 0.6.3 dated 2016-02-15 and 0.7.3 dated 2016-03-30

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 16 files changed, 57 insertions(+), 43 deletions(-)

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Package hisse updated to version 1.6 with previous version 1.5 dated 2016-03-19

Title: Hidden State Speciation and Extinction
Description: Sets up and executes a HiSSE model (Hidden State Speciation and Extinction) on a phylogeny and character sets to test for hidden shifts in trait dependent rates of diversification.
Author: Jeremy M. Beaulieu <jbeaulieu@nimbios.org>, Brian O'Meara <bomeara@utk.edu>
Maintainer: Jeremy Beaulieu <jbeaulieu@nimbios.org>

Diff between hisse versions 1.5 dated 2016-03-19 and 1.6 dated 2016-03-30

 DESCRIPTION          |    8 ++++----
 MD5                  |   14 +++++++-------
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 man/hisse.Rd         |    4 +++-
 man/hisseNull4.Rd    |    5 ++++-
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 8 files changed, 43 insertions(+), 15 deletions(-)

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Package ForeCA updated to version 0.2.4 with previous version 0.2.2 dated 2015-04-29

Title: Forecastable Component Analysis
Description: Implementation of Forecastable Component Analysis ('ForeCA'), including main algorithms and auxiliary function (summary, plotting, etc.) to apply 'ForeCA' to multivariate time series data. 'ForeCA' is a novel dimension reduction (DR) technique for temporally dependent signals. Contrary to other popular DR methods, such as 'PCA' or 'ICA', 'ForeCA' takes time dependency explicitly into account and searches for the most ''forecastable'' signal. The measure of forecastability is based on the Shannon entropy of the spectral density of the transformed signal.
Author: Georg M. Goerg <im@gmge.org>
Maintainer: Georg M. Goerg <im@gmge.org>

Diff between ForeCA versions 0.2.2 dated 2015-04-29 and 0.2.4 dated 2016-03-30

 DESCRIPTION                           |   27 +++----
 MD5                                   |   76 ++++++++++-----------
 NAMESPACE                             |    7 +
 NEWS                                  |   12 +++
 R/ForeCA-package.R                    |    1 
 R/Omega.R                             |   11 +--
 R/complete_controls.R                 |    2 
 R/foreca-utils.R                      |    2 
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 R/initialize_weightvector.R           |    2 
 R/mvspectrum.R                        |    4 -
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 R/spectral_entropy.R                  |   13 +--
 R/whiten.R                            |  117 +++++++++++++++++++++-----------
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 man/foreca-utils.Rd                   |   13 +--
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 man/foreca.one_weightvector-utils.Rd  |   21 +++--
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 39 files changed, 620 insertions(+), 516 deletions(-)

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New package FMsmsnReg with initial version 1.0
Package: FMsmsnReg
Type: Package
Title: Regression Models with Finite Mixtures of Skew Heavy-Tailed Errors
Version: 1.0
Date: 2016-03-29
Author: Luis Benites Sanchez and Rocio Paola Maehara and Victor Hugo Lachos
Maintainer: Luis Benites Sanchez <lbenitesanchez@gmail.com>
Imports: mvtnorm
Description: Fit linear regression models where the random errors follow a finite mixture of of Skew Heavy-Tailed Errors.
License: GPL (>= 2)
Repository: CRAN
NeedsCompilation: no
Packaged: 2016-03-29 23:45:34 UTC; lbenitesanchez
Date/Publication: 2016-03-30 08:14:20

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Package commonmark updated to version 0.8 with previous version 0.7 dated 2016-01-20

Title: Bindings to the CommonMark Reference Implementation
Description: The CommonMark specification defines a rationalized version of markdown syntax. This package uses the libcmark reference implementation for converting markdown text into various formats including html, latex and groff man. In addition it exposes the markdown parse tree in xml format.
Author: Jeroen Ooms [aut, cre], John MacFarlane [cph] (Author of cmark)
Maintainer: Jeroen Ooms <jeroen.ooms@stat.ucla.edu>

Diff between commonmark versions 0.7 dated 2016-01-20 and 0.8 dated 2016-03-30

 DESCRIPTION               |    8 
 MD5                       |   36 
 NEWS                      |    3 
 src/cmark/blocks.c        |  664 +++---
 src/cmark/buffer.c        |    5 
 src/cmark/chunk.h         |    8 
 src/cmark/cmark.h         |    6 
 src/cmark/cmark_version.h |    4 
 src/cmark/commonmark.c    |   35 
 src/cmark/html.c          |   16 
 src/cmark/inlines.c       |   22 
 src/cmark/latex.c         |    8 
 src/cmark/main.c          |    2 
 src/cmark/man.c           |    5 
 src/cmark/node.c          |    4 
 src/cmark/parser.h        |    2 
 src/cmark/render.c        |   26 
 src/cmark/scanners.c      | 5051 ++++++++++++++++++++++------------------------
 src/cmark/xml.c           |   20 
 19 files changed, 2958 insertions(+), 2967 deletions(-)

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Package breakaway updated to version 3.0 with previous version 2.0 dated 2015-10-01

Title: Species Richness Estimation and Modeling
Description: Species richness estimation is an important problem in biodiversity analysis. This package provides methods for total species richness estimation (observed plus unobserved) and a method for modelling total diversity with covariates. breakaway() estimates total (observed plus unobserved) species richness. Microbial diversity datasets are characterized by a large number of rare species and a small number of highly abundant species. The class of models implemented by breakaway() is flexible enough to model both these features. breakaway_nof1() implements a similar procedure however does not require a singleton count. betta() provides a method for modelling total diversity with covariates in a way that accounts for its estimated nature and thus accounts for unobserved taxa, and betta_random() permits random effects modelling.
Author: Amy Willis and John Bunge
Maintainer: Amy Willis <adw96@cornell.edu>

Diff between breakaway versions 2.0 dated 2015-10-01 and 3.0 dated 2016-03-30

 DESCRIPTION               |   11 +--
 MD5                       |   29 +++++++--
 NAMESPACE                 |    8 ++
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 R/betta_pic.R             |only
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Tue, 29 Mar 2016

Package BrailleR updated to version 0.24.2 with previous version 0.24.1 dated 2016-03-19

Title: Improved Access for Blind Users
Description: Blind users do not have access to the graphical output from R without printing the content of graphics windows to an embosser of some kind. This is not as immediate as is required for efficient access to statistical output. The functions here are created so that blind people can make even better use of R. This includes the text descriptions of graphs, convenience functions to replace the functionality offered in many GUI front ends, and experimental functionality for optimising graphical content to prepare it for embossing as tactile images.
Author: A. Jonathan R. Godfrey [aut, cre], Duncan Murdoch [ctb], Greg Snow [ctb], Henrik Bengtsson [ctb], James Curtis [ctb], Paul Murrell [ctb], Timothy Bilton [ctb], Yihui Xie [ctb]
Maintainer: A. Jonathan R. Godfrey <a.j.godfrey@massey.ac.nz>

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New package tdROC with initial version 1.0
Package: tdROC
Type: Package
Version: 1.0
Date: 2016-03-26
Title: Nonparametric Estimation of Time-Dependent ROC Curve from Right Censored Survival Data
Depends: R(>= 3.1.1), survival
Author: Liang Li <LLi15@mdanderson.org>, Cai Wu <cwu13@mdanderson.org> Department of Biostatistics, The University of Texas MD Anderson Cancer Center
Maintainer: Cai Wu <cwu13@mdanderson.org>
Description: Compute time-dependent ROC curve from censored survival data using nonparametric weight adjustments.
License: GPL (>= 2)
LazyData: Yes
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-03-29 22:01:10 UTC; colourful
Repository: CRAN
Date/Publication: 2016-03-30 00:59:03

More information about tdROC at CRAN
Permanent link

Package rsconnect updated to version 0.4.2.1 with previous version 0.4.2 dated 2016-03-20

Title: Deployment Interface for R Markdown Documents and Shiny Applications
Description: Programmatic deployment interface for 'RPubs', 'shinyapps.io', and 'RStudio Connect'. Supported content types include R Markdown documents, Shiny applications, plots, and static web content.
Author: JJ Allaire
Maintainer: JJ Allaire <jj@rstudio.com>

Diff between rsconnect versions 0.4.2 dated 2016-03-20 and 0.4.2.1 dated 2016-03-29

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Package rmetasim updated to version 3.0.2 with previous version 2.0.4.1 dated 2016-02-26

Title: An Individual-Based Population Genetic Simulation Environment
Description: An interface between R and the metasim simulation engine. The simulation environment is documented in: "A Strand. Metasim 1.0: an individual-based environment for simulating population genetics of complex population dynamics. Mol. Ecol. Notes, 2:373-376, 2002". The current version has eliminated the backend encoded output routines. These routines were accessed using "landscape.write.foreign". Now only output to GenePop files remains. R based routines for population genetic data analysis have improved dramatically and many can use the 'genind' format defined by the adegenet package. There is now a new function called "landscape.make.genind" which converts a landscape to a genind object. Please contact the maintainer if other output formats are needed.
Author: Allan Strand <stranda@cofc.edu>, James Niehaus
Maintainer: Allan Strand <stranda@cofc.edu>

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More information about rmetasim at CRAN
Permanent link

Package rmcfs updated to version 1.1.1 with previous version 1.1.0 dated 2016-03-28

Title: The MCFS-ID Algorithm for Feature Selection and Interdependency Discovery
Description: MCFS-ID (Monte Carlo Feature Selection and Interdependency Discovery) is a Monte Carlo method-based tool for feature selection. It also allows for the discovery of interdependencies between the relevant features. MCFS-ID is particularly suitable for the analysis of high-dimensional, 'small n large p' transactional and biological data.
Author: Michal Draminski [aut, cre], Jacek Koronacki [aut], Julian Zubek [ctb]
Maintainer: Michal Draminski <mdramins@ipipan.waw.pl>

Diff between rmcfs versions 1.1.0 dated 2016-03-28 and 1.1.1 dated 2016-03-29

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Package GMCM updated to version 1.2.3 with previous version 1.2.2 dated 2015-08-05

Title: Fast Estimation of Gaussian Mixture Copula Models
Description: Unsupervised Clustering and Meta-analysis using Gaussian Mixture Copula Models.
Author: Anders Ellern Bilgrau, Martin Boegsted, Poul Svante Eriksen
Maintainer: Anders Ellern Bilgrau <anders.ellern.bilgrau@gmail.com>

Diff between GMCM versions 1.2.2 dated 2015-08-05 and 1.2.3 dated 2016-03-29

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More information about GMCM at CRAN
Permanent link

New package robustETM with initial version 1.0
Package: robustETM
Type: Package
Title: Robust Methods using Exponential Tilt Model
Version: 1.0
Date: 2016-3-27
Author: Chuan Hong, Yong Chen, Yang Ning, Hao Wu
Maintainer: Chuan Hong <hong.chuan.hannah@gmail.com>
Imports: stats
Description: Testing homogeneity for generalized exponential tilt model. This package includes a collection of functions for (1) implementing methods for testing homogeneity for generalized exponential tilt model; and (2) implementing existing methods under comparison.
Depends: R (>= 2.5.0)
License: GPL (>= 2)
LazyLoad: no
NeedsCompilation: yes
Packaged: 2016-03-29 17:47:46 UTC; chong
Repository: CRAN
Date/Publication: 2016-03-29 20:04:40

More information about robustETM at CRAN
Permanent link

Package HardyWeinberg updated to version 1.5.6 with previous version 1.5.5 dated 2015-02-26

Title: Statistical Tests and Graphics for Hardy-Weinberg Equilibrium
Description: Contains tools for exploring Hardy-Weinberg equilibrium for diallelic genetic marker data. All classical tests (chi-square, exact, likelihood-ratio and permutation tests) for Hardy-Weinberg equilibrium are included in the package, as well as functions for power computation and for the simulation of marker data under equilibrium and disequilibrium. Routines for dealing with markers on the X-chromosome are included. Functions for testing equilibrium in the presence of missing data by using multiple imputation are also provided. Implements several graphics for exploring the equilibrium status of a large set of diallelic markers: ternary plots with acceptance regions, log-ratio plots and Q-Q plots.
Author: Jan Graffelman <jan.graffelman@upc.edu>
Maintainer: Jan Graffelman <jan.graffelman@upc.edu>

Diff between HardyWeinberg versions 1.5.5 dated 2015-02-26 and 1.5.6 dated 2016-03-29

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More information about HardyWeinberg at CRAN
Permanent link

New package finreportr with initial version 1.0.0
Package: finreportr
Type: Package
Title: Financial Data from U.S. Securities and Exchange Commission
Version: 1.0.0
Date: 2016-03-29
Author: Seward Lee
Maintainer: Seward Lee <sewardlee337@gmail.com>
Description: Download and display company financial data from the U.S. Securities and Exchange Commission's EDGAR database. It contains a suite of functions with web scraping and XBRL parsing capabilities that allows users to extract data from EDGAR in an automated and scalable manner. See <https://www.sec.gov/edgar/searchedgar/companysearch.html> for more information.
Depends: R (>= 2.10)
Imports: xml2, dplyr, RCurl, rvest, XBRL
License: MIT + file LICENSE
URL: https://github.com/sewardlee337/finreportr
RoxygenNote: 5.0.1
Suggests: knitr, rmarkdown, testthat
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2016-03-29 17:28:03 UTC; Seward
Repository: CRAN
Date/Publication: 2016-03-29 20:04:38

More information about finreportr at CRAN
Permanent link

New package curlconverter with initial version 0.7.0
Package: curlconverter
Title: Tools to Transform 'cURL' Command-Line Calls to 'httr' Requests
Version: 0.7.0
Authors@R: c(person("Bob", "Rudis", email = "bob@rudis.net", role = c("aut", "cre")), person("Nick", "Carneiro", role = c("ctb")))
Maintainer: Bob Rudis <bob@rudis.net>
Description: Deciphering web/'REST' 'API' and 'XHR' calls can be tricky, which is one reason why internet browsers provide "Copy as cURL" functionality within their "Developer Tools" pane(s). These 'cURL' command-lines can be difficult to wrangle into an 'httr' 'GET' or 'POST' request, but you can now "straighten" these 'cURLs' either from data copied to the system clipboard or by passing in a vector of 'cURL' command-lines and getting back a list of parameter elements which can be used to form 'httr' requests. You can also make a complete/working/callable 'httr::VERB' function right from the tools provided.
SystemRequirements: xclip <http://sourceforge.net/projects/xclip/> or xsel <http://www.vergenet.net/~conrad/software/xsel/> for accessing the X11 clipboard
Depends: R (>= 3.0.0)
Imports: V8, curl, httr, purrr, clipr, stringi, formatR, magrittr, jsonlite
License: AGPL
LazyData: true
Suggests: testthat, knitr, rmarkdown
RoxygenNote: 5.0.1
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2016-03-29 17:18:14 UTC; bob
Author: Bob Rudis [aut, cre], Nick Carneiro [ctb]
Repository: CRAN
Date/Publication: 2016-03-29 20:04:36

More information about curlconverter at CRAN
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Package ARTool updated to version 0.10.2 with previous version 0.10.0 dated 2016-01-11

Title: Aligned Rank Transform
Description: The Aligned Rank Transform for nonparametric factorial ANOVAs as described by J. O. Wobbrock, L. Findlater, D. Gergle, & J. J. Higgins, "The Aligned Rank Transform for nonparametric factorial analyses using only ANOVA procedures", CHI 2011 <DOI:10.1145/1978942.1978963>.
Author: Matthew Kay [aut, cre], Jacob O. Wobbrock [aut]
Maintainer: Matthew Kay <mjskay@uw.edu>

Diff between ARTool versions 0.10.0 dated 2016-01-11 and 0.10.2 dated 2016-03-29

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More information about ARTool at CRAN
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Package tttplot updated to version 1.1.1 with previous version 1.0 dated 2016-03-20

Title: Time to Target Plot
Description: Implementation of Time to Target plot based on the work of Ribeiro and Rosseti (2015) <DOI:10.1007/s11590-014-0760-8>, that describe a numerical method that gives the probability of an algorithm A finds a solution at least as good as a given target value in smaller computation time than algorithm B.
Author: Carlos A. Martinez [aut, cre] based on the work of Ribeiro and Rosseti (2015).
Maintainer: Carlos A. Martinez <amartin@unal.edu.co>

Diff between tttplot versions 1.0 dated 2016-03-20 and 1.1.1 dated 2016-03-29

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Package PAC updated to version 1.0.3 with previous version 1.0.2 dated 2016-03-29

Title: Partition-Assisted Clustering
Description: Implements Partition-Assisted Clustering, which utilizes a collection of partition based nonparametric density estimation techniques to improve the robustness and accuracy of downstream clustering. The package also provides functions for effectively visualizing the clustering results. It is particularly useful for finding and visualizing subpopulations in single-cell data analysis.
Author: Dangna Li, Henry Li
Maintainer: Dangna Li <ldangna@gmail.com>

Diff between PAC versions 1.0.2 dated 2016-03-29 and 1.0.3 dated 2016-03-29

 DESCRIPTION |    6 +++---
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More information about PAC at CRAN
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New package metricTester with initial version 1.0.0
Package: metricTester
Title: Test Metric and Null Model Statistical Performance
Description: Explore the behavior and performance of phylogenetic metrics and null models.
Version: 1.0.0
Date: 2016-3-28
Author: Eliot Miller, Chris Trisos & Damien Farine
Maintainer: Eliot Miller <eliot.isaac@gmail.com>
URL: https://github.com/eliotmiller/metricTester
BugReports: https://github.com/eliotmiller/metricTester/issues
Depends: R (>= 3.1.1), ape
Imports: methods, geiger, spacodiR, dplyr, picante, foreach, doParallel, colorRamps
Suggests: testthat
License: GPL-3
LazyData: true
NeedsCompilation: no
Packaged: 2016-03-29 16:20:11 UTC; eliotmiller
Repository: CRAN
Date/Publication: 2016-03-29 18:59:44

More information about metricTester at CRAN
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Package InSilicoVA updated to version 1.1.2 with previous version 1.1.1 dated 2016-03-27

Title: Probabilistic Verbal Autopsy Coding with 'InSilicoVA' Algorithm
Description: Computes individual causes of death and population cause-specific mortality fractions using the 'InSilicoVA' algorithm. It uses data derived from verbal autopsy (VA) interviews, in a format similar to the input of the widely used 'InterVA4' method. This package provides general model fitting and customization for 'InSilicoVA' algorithm and basic graphical visualization of the output.
Author: Zehang Li, Tyler McCormick, Sam Clark
Maintainer: Zehang Li <lizehang@uw.edu>

Diff between InSilicoVA versions 1.1.1 dated 2016-03-27 and 1.1.2 dated 2016-03-29

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Permanent link

Package graphTweets updated to version 0.3.1 with previous version 0.3 dated 2016-03-11

Title: Visualise Twitter Interactions
Description: Allows building an edge table from data frame of tweets, also provides function to build nodes and another create a temporal graph.
Author: John Coene [aut, cre]
Maintainer: John Coene <jcoenep@gmail.com>

Diff between graphTweets versions 0.3 dated 2016-03-11 and 0.3.1 dated 2016-03-29

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Package eVenn updated to version 2.3 with previous version 2.2.3 dated 2016-01-21

Title: A Powerful Tool to Quickly Compare Huge Lists and Draw Venn Diagrams
Description: Compare lists (from 2 to infinite) and plot the results in a Venn diagram if (N<=4) with regulation details. It allows to produce a complete annotated file, merging the annotations of the compared lists. It is also possible to compute an overlaps table to show the overlaps proportions of all the couples of lists and draw proportional Venn diagrams.
Author: Nicolas Cagnard
Maintainer: Nicolas Cagnard <nicolas.cagnard@gmail.com>

Diff between eVenn versions 2.2.3 dated 2016-01-21 and 2.3 dated 2016-03-29

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Permanent link

New package densratio with initial version 0.0.3
Package: densratio
Type: Package
Version: 0.0.3
Title: Density Ratio Estimation
Description: Density ratio estimation. The estimated density ratio function can be used in many applications such as the inlier-based outlier detection, covariate shift adaptation and etc.
Authors@R: person("Koji", "Makiyama", , "hoxo.smile@gmail.com", c("aut", "cre"))
URL: https://github.com/hoxo-m/densratio
BugReports: https://github.com/hoxo-m/densratio/issues
License: MIT + file LICENSE
Imports: utils
Suggests: graphics, knitr, mvtnorm, rmarkdown, stats
RoxygenNote: 5.0.1
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2016-03-29 16:05:47 UTC; kmakiyam
Author: Koji Makiyama [aut, cre]
Maintainer: Koji Makiyama <hoxo.smile@gmail.com>
Repository: CRAN
Date/Publication: 2016-03-29 18:59:40

More information about densratio at CRAN
Permanent link

Package cape updated to version 2.0 with previous version 1.3 dated 2014-09-26

Title: Combined Analysis of Pleiotropy and Epistasis
Description: Combines complementary information across multiple related phenotypes to infer directed epistatic interactions between genetic markers. This analysis can be applied to a variety of engineered and natural populations.
Author: Anna L. Tyler, Wei Lu, Justin J. Hendrick, Vivek M. Philip, and Greg W. Carter
Maintainer: Anna L. Tyler <Anna.Tyler@jax.org>

Diff between cape versions 1.3 dated 2014-09-26 and 2.0 dated 2016-03-29

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Package binaryLogic updated to version 0.3.4 with previous version 0.3.2 dated 2016-01-19

Title: Binary Logic
Description: Convert to binary numbers (Base2). Shift, rotate, summary. Based on logical vector.
Author: Daniel Dörrhöfer <ddo@openmailbox.org>
Maintainer: Daniel Dörrhöfer <ddo@openmailbox.org>

Diff between binaryLogic versions 0.3.2 dated 2016-01-19 and 0.3.4 dated 2016-03-29

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Package rgbif updated to version 0.9.3 with previous version 0.9.2 dated 2016-02-02

Title: Interface to the Global 'Biodiversity' Information Facility 'API'
Description: A programmatic interface to the Web Service methods provided by the Global Biodiversity Information Facility ('GBIF'). 'GBIF' is a database of species occurrence records from sources all over the globe. 'rgbif' includes functions for searching for taxonomic names, retrieving information on data providers, getting species occurrence records, and getting counts of occurrence records.
Author: Scott Chamberlain [aut, cre], Karthik Ram [aut], Vijay Barve [aut], Dan Mcglinn [aut]
Maintainer: Scott Chamberlain <myrmecocystus@gmail.com>

Diff between rgbif versions 0.9.2 dated 2016-02-02 and 0.9.3 dated 2016-03-29

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New package ini with initial version 0.1
Package: ini
Type: Package
Title: Read and Write '.ini' Files
Version: 0.1
Date: 2016-03-03
Author: David Valentim Dias
Maintainer: David Valentim Dias <dvdscripter@gmail.com>
Description: Parse simple '.ini' configuration files to an structured list. Users can manipulate this resulting list with lapply() functions. This same structured list can be used to write back to file after modifications.
License: GPL-3
LazyData: FALSE
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-03-29 14:22:30 UTC; dvd
Repository: CRAN
Date/Publication: 2016-03-29 16:41:49

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Package RWeka updated to version 0.4-26 with previous version 0.4-25 dated 2016-03-15

Title: R/Weka Interface
Description: An R interface to Weka (Version 3.7.13). Weka is a collection of machine learning algorithms for data mining tasks written in Java, containing tools for data pre-processing, classification, regression, clustering, association rules, and visualization. Package 'RWeka' contains the interface code, the Weka jar is in a separate package 'RWekajars'. For more information on Weka see <http://www.cs.waikato.ac.nz/ml/weka/>.
Author: Kurt Hornik [aut, cre], Christian Buchta [ctb], Torsten Hothorn [ctb], Alexandros Karatzoglou [ctb], David Meyer [ctb], Achim Zeileis [ctb]
Maintainer: Kurt Hornik <Kurt.Hornik@R-project.org>

Diff between RWeka versions 0.4-25 dated 2016-03-15 and 0.4-26 dated 2016-03-29

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Package quickReg updated to version 0.0.2 with previous version 0.0.1 dated 2016-03-03

Title: Build Regression Models Quickly and Display the Results Using 'ggplot2'
Description: A set of functions to extract results from regression models and plot the effect size using 'ggplot2' seamlessly. While 'broom' is useful to convert statistical analysis objects into tidy data frames, 'coefplot' is adept at showing multivariate regression results. With specific outcome, this package could build regression models automatically, extract results into a data frame and provide a quicker way to summarize models' statistical findings using 'ggplot2'.
Author: Xikun Han [aut, cre]
Maintainer: Xikun Han <hanxikun2014@163.com>

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Package kernlab updated to version 0.9-24 with previous version 0.9-23 dated 2016-01-26

Title: Kernel-Based Machine Learning Lab
Description: Kernel-based machine learning methods for classification, regression, clustering, novelty detection, quantile regression and dimensionality reduction. Among other methods 'kernlab' includes Support Vector Machines, Spectral Clustering, Kernel PCA, Gaussian Processes and a QP solver.
Author: Alexandros Karatzoglou [aut, cre], Alex Smola [aut], Kurt Hornik [aut]
Maintainer: Alexandros Karatzoglou <alexis@ci.tuwien.ac.at>

Diff between kernlab versions 0.9-23 dated 2016-01-26 and 0.9-24 dated 2016-03-29

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Package ergm.count updated to version 3.2.2 with previous version 3.2.0 dated 2015-06-19

Title: Fit, Simulate and Diagnose Exponential-Family Models for Networks with Count Edges
Description: A set of extensions for the 'ergm' package to fit weighted networks whose edge weights are counts.
Author: Pavel N. Krivitsky [aut, cre], Mark S. Handcock [ctb], David R. Hunter [ctb]
Maintainer: Pavel N. Krivitsky <pavel@uow.edu.au>

Diff between ergm.count versions 3.2.0 dated 2015-06-19 and 3.2.2 dated 2016-03-29

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New package CrossClustering with initial version 3.0
Package: CrossClustering
Type: Package
Title: A Partial Clustering Algorithm with Automatic Estimation of the Number of Clusters and Identification of Outliers
Version: 3.0
Date: 2016-03-24
Author: Paola Tellaroli, Michele Donato
Maintainer: Paola Tellaroli <paola.tellaroli@unipd.it>
Description: Computes a partial clustering algorithm that combines the Ward's minimum variance and Complete Linkage algorithms, providing automatic estimation of a suitable number of clusters and identification of outlier elements.
License: GPL (>= 3)
URL: https://CRAN.R-project.org/package=CrossClustering
Imports: cluster
NeedsCompilation: no
Packaged: 2016-03-29 11:08:54 UTC; paola.tellaroli
Repository: CRAN
Date/Publication: 2016-03-29 13:34:21

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Package assertive updated to version 0.3-3 with previous version 0.3-2 dated 2016-03-08

Title: Readable Check Functions to Ensure Code Integrity
Description: Lots of predicates (is_* functions) to check the state of your variables, and assertions (assert_* functions) to throw errors if they aren't in the right form.
Author: Richard Cotton [aut, cre]
Maintainer: Richard Cotton <richierocks@gmail.com>

Diff between assertive versions 0.3-2 dated 2016-03-08 and 0.3-3 dated 2016-03-29

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Package sjPlot updated to version 1.9.4 with previous version 1.9.3 dated 2016-03-24

Title: Data Visualization for Statistics in Social Science
Description: Collection of plotting and table output functions for data visualization. Results of various statistical analyses (that are commonly used in social sciences) can be visualized using this package, including simple and cross tabulated frequencies, histograms, box plots, (generalized) linear models, mixed effects models, PCA and correlation matrices, cluster analyses, scatter plots, Likert scales, effects plots of regression models (including interaction terms) and much more.
Author: Daniel Lüdecke <d.luedecke@uke.de>
Maintainer: Daniel Lüdecke <d.luedecke@uke.de>

Diff between sjPlot versions 1.9.3 dated 2016-03-24 and 1.9.4 dated 2016-03-29

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Package imguR updated to version 1.0.3 with previous version 1.0.1 dated 2016-02-19

Title: An Imgur.com API Client Package
Description: A complete API client for the image hosting service Imgur.com, including the an imgur graphics device, enabling the easy upload and sharing of plots.
Author: Thomas J. Leeper [aut, cre], Aaron Statham [ctb], Yihui Xie [ctb]
Maintainer: Thomas J. Leeper <thosjleeper@gmail.com>

Diff between imguR versions 1.0.1 dated 2016-02-19 and 1.0.3 dated 2016-03-29

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Package growthcurver updated to version 0.2.1 with previous version 0.2.0 dated 2016-03-09

Title: Simple Metrics to Summarize Growth Curves
Description: This is a simple package that fits the logistic equation to microbial growth curve data (e.g., repeated absorbance measurements taken from a plate reader over time). From this fit, a variety of metrics are provided, including the maximum growth rate, the doubling time, the carrying capacity, the area under the logistic curve, and the time to the inflection point.
Author: Kathleen sprouffske [aut, cre]
Maintainer: Kathleen sprouffske <sprouffske@gmail.com>

Diff between growthcurver versions 0.2.0 dated 2016-03-09 and 0.2.1 dated 2016-03-29

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Package tweenr updated to version 0.1.3 with previous version 0.1.2 dated 2016-02-11

Title: Interpolate Data for Smooth Animations
Description: In order to create smooth animation between states of data, tweening is necessary. This package provides a range of functions for creating tweened data that plugs right into functions such as gg_animate() from the 'gganimate' package. Furthermore it adds a number of vectorized interpolaters for common R data types such as numeric, date and colour.
Author: Thomas Lin Pedersen [aut, cre]
Maintainer: Thomas Lin Pedersen <thomasp85@gmail.com>

Diff between tweenr versions 0.1.2 dated 2016-02-11 and 0.1.3 dated 2016-03-29

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Package svmadmm updated to version 0.3 with previous version 0.2 dated 2016-03-17

Title: Linear/Nonlinear SVM Classification Solver Based on ADMM and IADMM Algorithms
Description: Solve large-scale regularised linear/kernel classification by using ADMM and IADMM algorithms. This package provides linear L2-regularised primal classification (both ADMM and IADMM are available), kernel L2-regularised dual classification (IADMM) as well as L1-regularised primal classification (both ADMM and IADMM are available).
Author: Ben DAI <bendai2-c@my.cityu.edu.hk>; Junhui Wang <j.h.wang@cityu.edu.hk>
Maintainer: Ben DAI <bendai2-c@my.cityu.edu.hk>

Diff between svmadmm versions 0.2 dated 2016-03-17 and 0.3 dated 2016-03-29

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Package RNewsflow updated to version 1.0.1 with previous version 1.0 dated 2016-02-21

Title: Tools for Analyzing Content Homogeneity and News Diffusion using Computational Text Analysis
Description: A collection of tools for measuring the similarity of news content and tracing the flow of (news) messages over time and across media.
Author: Kasper Welbers & Wouter van Atteveldt
Maintainer: Kasper Welbers <kasperwelbers@gmail.com>

Diff between RNewsflow versions 1.0 dated 2016-02-21 and 1.0.1 dated 2016-03-29

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Package randstr updated to version 0.2.0 with previous version 0.1.1 dated 2016-03-28

Title: Generate Random Strings
Description: Generate random strings of a dictated size of symbol set and distribution of the lengths of strings.
Author: Alan Gu
Maintainer: Alan Gu <alan.on.ca@gmail.com>

Diff between randstr versions 0.1.1 dated 2016-03-28 and 0.2.0 dated 2016-03-29

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New package randomcoloR with initial version 1.0.0
Package: randomcoloR
Type: Package
Title: Generate Attractive Random Colors
Version: 1.0.0
Date: 2016-03-28
Author: Ron Ammar
Maintainer: Ron Ammar <ron.ammar@gmail.com>
Description: Simple methods to generate attractive random colors. The random colors are from a wrapper of 'randomColor.js' <https://github.com/davidmerfield/randomColor>. In addition, it also generates optimally distinct colors based on k-means (inspired by 'IWantHue' <https://github.com/medialab/iwanthue>).
License: CC0
LazyData: TRUE
RoxygenNote: 5.0.1
Imports: colorspace, stringr, V8, stats, methods
NeedsCompilation: no
Packaged: 2016-03-29 01:21:36 UTC; rammar
Repository: CRAN
Date/Publication: 2016-03-29 10:50:27

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Package PAC updated to version 1.0.2 with previous version 1.0.1 dated 2016-03-27

Title: Partition-Assisted Clustering
Description: Implements Partition-Assisted Clustering, which utilizes a collection of partition based nonparametric density estimation techniques to improve the robustness and accuracy of downstream clustering. The package also provides functions for effectively visualizing the clustering results. It is particularly useful for finding and visualizing subpopulations in single-cell data analysis.
Author: Dangna Li, Henry Li
Maintainer: Dangna Li <ldangna@gmail.com>

Diff between PAC versions 1.0.1 dated 2016-03-27 and 1.0.2 dated 2016-03-29

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New package nimble with initial version 0.5
Package: nimble
Title: Flexible BUGS-Compatible System for Hierarchical Statistical Modeling and Algorithm Development
Description: Flexible application of algorithms to models specified in the BUGS language. Algorithms can be written in the NIMBLE language and made available to any model.
Version: 0.5
Maintainer: Christopher Paciorek <paciorek@stat.berkeley.edu>
Author: Perry de Valpine, Christopher Paciorek, Daniel Turek, Cliff Anderson-Bergman, Duncan Temple Lang
Depends: R (>= 3.1.2)
Imports: methods,igraph,coda
Suggests: testthat,R2WinBUGS,rjags,rstan,xtable,abind,ggplot2
URL: http://r-nimble.org
License: BSD_3_clause + file LICENSE
Note: For convenience, the package includes the necessary header files for the Eigen distribution. (This is all that is needed to use that functionality.) You can use an alternative installation of Eigen on your system or the one we provide. The license for the Eigen code is very permissive and allows us to distribute it with this package. See http://eigen.tuxfamily.org/index.php?title=Main_Page and also the License section on that page.
LazyData: false
Collate: config.R all_utils.R options.R distributions_inputList.R distributions_processInputList.R distributions_implementations.R BUGS_BUGSdecl.R BUGS_contexts.R BUGS_modelDef.R BUGS_model.R BUGS_graphNodeMaps.R BUGS_readBUGS.R BUGS_testBUGS.R BUGS_getDependencies.R BUGS_utils.R BUGS_mathCompatibility.R genCpp_exprClass.R genCpp_operatorLists.R genCpp_RparseTree2exprClasses.R genCpp_initSizes.R genCpp_buildIntermediates.R genCpp_processSpecificCalls.R genCpp_sizeProcessing.R genCpp_insertAssertions.R genCpp_maps.R genCpp_liftMaps.R genCpp_eigenization.R genCpp_addDebugMarks.R genCpp_generateCpp.R RCfunction_core.R RCfunction_compile.R nimbleFunction_util.R nimbleFunction_core.R nimbleFunction_nodeFunction.R nimbleFunction_Rexecution.R nimbleFunction_compile.R nimbleFunction_keywordProcessing.R types_util.R types_symbolTable.R types_modelValues.R types_modelValuesAccessor.R types_modelVariableAccessor.R types_nimbleFunctionList.R types_nodeFxnVector.R types_numericLists.R cppDefs_utils.R cppDefs_variables.R cppDefs_core.R cppDefs_namedObjects.R cppDefs_BUGSmodel.R cppDefs_RCfunction.R cppDefs_nimbleFunction.R cppDefs_modelValues.R cppDefs_cppProject.R cppDefs_outputCppFromRparseTree.R cppInterfaces_utils.R cppInterfaces_models.R cppInterfaces_modelValues.R cppInterfaces_nimbleFunctions.R cppInterfaces_otherTypes.R nimbleProject.R initializeModel.R MCMC_utils.R MCMC_spec.R MCMC_build.R MCMC_samplers.R MCMC_conjugacy.R MCMC_suite.R MCMC_comparisons.R MCMC_autoBlock.R MCEM_build.R PF_build.R optimTools.R NF_utils.R miscFunctions.R makevars.R registration.R nimble-package.r zzz.R
NeedsCompilation: yes
Packaged: 2016-03-29 01:42:03 UTC; paciorek
Repository: CRAN
Date/Publication: 2016-03-29 10:50:21

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Package LambertW updated to version 0.6.4 with previous version 0.6.2 dated 2016-02-05

Title: Probabilistic Models to Analyze and Gaussianize Heavy-Tailed, Skewed Data
Description: Lambert W x F distributions are a generalized framework to analyze skewed, heavy-tailed data. It is based on an input/output system, where the output random variable (RV) Y is a non-linearly transformed version of an input RV X ~ F with similar properties as X, but slightly skewed (heavy-tailed). The transformed RV Y has a Lambert W x F distribution. This package contains functions to model and analyze skewed, heavy-tailed data the Lambert Way: simulate random samples, estimate parameters, compute quantiles, and plot/ print results nicely. Probably the most important function is 'Gaussianize', which works similarly to 'scale', but actually makes the data Gaussian. A do-it-yourself toolkit allows users to define their own Lambert W x 'MyFavoriteDistribution' and use it in their analysis right away.
Author: Georg M. Goerg <im@gmge.org>
Maintainer: Georg M. Goerg <im@gmge.org>

Diff between LambertW versions 0.6.2 dated 2016-02-05 and 0.6.4 dated 2016-03-29

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Package gsbDesign updated to version 1.00 with previous version 0.96-3 dated 2015-07-08

Title: Group Sequential Bayes Design
Description: Group Sequential Operating Characteristics for Clinical, Bayesian two-arm Trials with known Sigma and Normal Endpoints.
Author: Florian Gerber, Thomas Gsponer
Maintainer: Florian Gerber <florian.gerber@math.uzh.ch>

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Package GeneticSubsetter updated to version 0.7 with previous version 0.6 dated 2015-10-14

Title: Identify Favorable Subsets of Germplasm Collections
Description: Finds subsets of sets of genotypes with a high Heterozygosity, and Mean of Transformed Kinships (MTK), measures that can indicate a subset would be beneficial for rare-trait discovery and genome-wide association scanning, respectively.
Author: Ryan C. Graebner and Alfonso Cuesta-Marcos
Maintainer: Ryan C. Graebner <ryan.graebner@gmail.com>

Diff between GeneticSubsetter versions 0.6 dated 2015-10-14 and 0.7 dated 2016-03-29

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Package forestFloor updated to version 1.9.3 with previous version 1.9.1 dated 2016-01-03

Title: Visualizes Random Forests with Feature Contributions
Description: Form visualizations of high dimensional mapping structures of random forests and feature contributions.
Author: Soeren Havelund Welling
Maintainer: Soeren Havelund Welling <SOWE@DTU.DK>

Diff between forestFloor versions 1.9.1 dated 2016-01-03 and 1.9.3 dated 2016-03-29

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Package effects updated to version 3.1-1 with previous version 3.1-0 dated 2016-03-25

Title: Effect Displays for Linear, Generalized Linear, and Other Models
Description: Graphical and tabular effect displays, e.g., of interactions, for various statistical models with linear predictors.
Author: John Fox [aut, cre], Sanford Weisberg [aut], Michael Friendly [aut], Jangman Hong [aut], Robert Andersen [ctb], David Firth [ctb], Steve Taylor [ctb]
Maintainer: John Fox <jfox@mcmaster.ca>

Diff between effects versions 3.1-0 dated 2016-03-25 and 3.1-1 dated 2016-03-29

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Package bold updated to version 0.3.5 with previous version 0.3.4 dated 2016-03-23

Title: Interface to Bold Systems 'API'
Description: A programmatic interface to the Web Service methods provided by Bold Systems for genetic 'barcode' data. Functions include methods for searching by sequences by taxonomic names, ids, collectors, and institutions; as well as a function for searching for specimens, and downloading trace files.
Author: Scott Chamberlain [aut, cre]
Maintainer: Scott Chamberlain <myrmecocystus@gmail.com>

Diff between bold versions 0.3.4 dated 2016-03-23 and 0.3.5 dated 2016-03-29

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Package assertive.reflection updated to version 0.0-3 with previous version 0.0-2 dated 2016-03-06

Title: Assertions for Checking the State of R
Description: A set of predicates and assertions for checking the state and capabilities of R, the operating system it is running on, and the IDE being used. This is mainly for use by other package developers who want to include run-time testing features in their own packages. End-users will usually want to use assertive directly.
Author: Richard Cotton [aut, cre]
Maintainer: Richard Cotton <richierocks@gmail.com>

Diff between assertive.reflection versions 0.0-2 dated 2016-03-06 and 0.0-3 dated 2016-03-29

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Mon, 28 Mar 2016

Package textreuse updated to version 0.1.3 with previous version 0.1.2 dated 2015-11-06

Title: Detect Text Reuse and Document Similarity
Description: Tools for measuring similarity among documents and detecting passages which have been reused. Implements shingled n-gram, skip n-gram, and other tokenizers; similarity/dissimilarity functions; pairwise comparisons; minhash and locality sensitive hashing algorithms; and a version of the Smith-Waterman local alignment algorithm suitable for natural language.
Author: Lincoln Mullen [aut, cre]
Maintainer: Lincoln Mullen <lincoln@lincolnmullen.com>

Diff between textreuse versions 0.1.2 dated 2015-11-06 and 0.1.3 dated 2016-03-28

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Package readxl updated to version 0.1.1 with previous version 0.1.0 dated 2015-04-14

Title: Read Excel Files
Description: Import excel files into R. Supports '.xls' via the embedded 'libxls' C library (http://sourceforge.net/projects/libxls/) and '.xlsx' via the embedded 'RapidXML' C++ library (http://rapidxml.sourceforge.net). Works on Windows, Mac and Linux without external dependencies.
Author: Hadley Wickham [aut, cre], RStudio [cph] (Copyright holder of all R code and all C/C++ code without explicit copyright attribution), Marcin Kalicinski [ctb, cph] (Author of included RapidXML code), Komarov Valery [ctb, cph] (Author of included libxls code), Christophe Leitienne [ctb, cph] (Author of included libxls code), Bob Colbert [ctb, cph] (Author of included libxls code), David Hoerl [ctb, cph] (Author of included libxls code)
Maintainer: Hadley Wickham <hadley@rstudio.com>

Diff between readxl versions 0.1.0 dated 2015-04-14 and 0.1.1 dated 2016-03-28

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New package rmcfs with initial version 1.1.0
Package: rmcfs
Title: The MCFS-ID Algorithm for Feature Selection and Interdependency Discovery
Version: 1.1.0
Date: 2016-03-28
Authors@R: c(person('Michal', 'Draminski', role = c('aut', 'cre'), email = 'mdramins@ipipan.waw.pl'), person('Jacek', 'Koronacki', role = c('aut'), email = 'jacek.koronacki@ipipan.waw.pl'), person('Julian', 'Zubek', role = c('ctb'), email = 'j.zubek@phd.ipipan.waw.pl'))
Depends: rJava, R (>= 2.10)
Imports: yaml, ggplot2, reshape2, dplyr, igraph
SystemRequirements: Java
Description: MCFS-ID (Monte Carlo Feature Selection and Interdependency Discovery) is a Monte Carlo method-based tool for feature selection. It also allows for the discovery of interdependencies between the relevant features. MCFS-ID is particularly suitable for the analysis of high-dimensional, 'small n large p' transactional and biological data.
License: GPL-3 + file LICENSE
URL: http://www.ipipan.eu/staff/m.draminski/mcfs.htm
LazyData: yes
NeedsCompilation: no
Packaged: 2016-03-28 18:36:39 UTC; mdraminski
Author: Michal Draminski [aut, cre], Jacek Koronacki [aut], Julian Zubek [ctb]
Maintainer: Michal Draminski <mdramins@ipipan.waw.pl>
Repository: CRAN
Date/Publication: 2016-03-28 23:29:35

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Package packrat updated to version 0.4.7-1 with previous version 0.4.7 dated 2016-03-17

Title: A Dependency Management System for Projects and their R Package Dependencies
Description: Manage the R packages your project depends on in an isolated, portable, and reproducible way.
Author: Kevin Ushey, Jonathan McPherson, Joe Cheng, Aron Atkins, JJ Allaire
Maintainer: Kevin Ushey <kevin@rstudio.com>

Diff between packrat versions 0.4.7 dated 2016-03-17 and 0.4.7-1 dated 2016-03-28

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Package nhanesA updated to version 0.6.3.1 with previous version 0.6.3 dated 2016-02-25

Title: NHANES Data Retrieval
Description: Utility to retrieve data from the National Health and Nutrition Examination Survey (NHANES).
Author: Christopher Endres
Maintainer: Christopher Endres <cjendres1@gmail.com>

Diff between nhanesA versions 0.6.3 dated 2016-02-25 and 0.6.3.1 dated 2016-03-28

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Package httpcache updated to version 0.1.4 with previous version 0.1.2 dated 2016-02-23

Title: Query Cache for HTTP Clients
Description: In order to improve performance for HTTP API clients, 'httpcache' provides simple tools for caching and invalidating cache. It includes the HTTP verb functions GET, PUT, PATCH, POST, and DELETE, which are drop-in replacements for those in the 'httr' package. These functions are cache-aware and provide default settings for cache invalidation suitable for RESTful APIs; the package also enables custom cache-management strategies. Finally, 'httpcache' includes a basic logging framework to facilitate the measurement of HTTP request time and cache performance.
Author: Neal Richardson [aut, cre]
Maintainer: Neal Richardson <neal.p.richardson@gmail.com>

Diff between httpcache versions 0.1.2 dated 2016-02-23 and 0.1.4 dated 2016-03-28

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New package Greg with initial version 1.2
Package: Greg
Version: 1.2
Date: 2016-03-28
Title: Regression Helper Functions
Maintainer: Max Gordon <max@gforge.se>
Authors@R: c(person("Max", "Gordon", email = "max@gforge.se", role = c("aut", "cre")), person("Reinhard", "Seifert", role = "aut", comment = "Author of original plotHR"))
Description: Methods for manipulating regression models and for describing these in a style adapted for medical journals. Contains functions for generating an HTML table with crude and adjusted estimates, plotting hazard ratio, plotting model estimates and confidence intervals using forest plots, extending this to comparing multiple models in a single forest plots. In addition to the descriptives methods, there are addons for the robust covariance matrix provided by the sandwich package, a function for adding non-linearities to a model, and a wrapper around the Epi package's Lexis functions for time-spliting a dataset when modeling non-proportional hazards in Cox regressions.
License: GPL (>= 3)
URL: http://gforge.se
Biarch: yes
Imports: Hmisc, stringr, rms, sandwich, stats, nlme, methods, htmlTable, magrittr, knitr, Epi, utils, graphics, grDevices
Depends: forestplot, Gmisc (>= 1.0.3)
Suggests: boot, testthat, cmprsk, survival, dplyr, ggplot2
VignetteBuilder: knitr
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-03-28 19:20:50 UTC; max
Author: Max Gordon [aut, cre], Reinhard Seifert [aut] (Author of original plotHR)
Repository: CRAN
Date/Publication: 2016-03-28 23:24:58

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Package extremogram updated to version 1.0.1 with previous version 1.0.0 dated 2015-09-29

Title: Estimation of Extreme Value Dependence for Time Series Data
Description: Estimation of the sample univariate, cross and return time extremograms. The package can also add empirical confidence bands to each of the extremogram plots via a permutation procedure under the assumption that the data are independent. Finally, the stationary bootstrap allows us to construct credible confidence bands for the extremograms.
Author: Nadezda Frolova, Ivor Cribben
Maintainer: Nadezda Frolova <nfrolova@ualberta.ca>

Diff between extremogram versions 1.0.0 dated 2015-09-29 and 1.0.1 dated 2016-03-28

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Package EffectLiteR updated to version 0.4-2 with previous version 0.4-1 dated 2015-10-18

Title: Average and Conditional Effects
Description: Use structural equation modeling to estimate average and conditional effects of a treatment variable on an outcome variable, taking into account multiple continuous and categorical covariates.
Author: Axel Mayer [aut, cre], Lisa Dietzfelbinger [ctb]
Maintainer: Axel Mayer <amayer2010@gmail.com>

Diff between EffectLiteR versions 0.4-1 dated 2015-10-18 and 0.4-2 dated 2016-03-28

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Package dataRetrieval updated to version 2.5.3 with previous version 2.5.2 dated 2016-03-04

Title: Retrieval Functions for USGS and EPA Hydrologic and Water Quality Data
Description: Collection of functions to help retrieve U.S. Geological Survey (USGS) and U.S. Environmental Protection Agency (EPA) water quality and hydrology data from web services. USGS web services are discovered from the National Water Information System (NWIS) tools. Both EPA and USGS water quality data are obtained from the Water Quality Portal.
Author: Robert Hirsch [aut], Laura DeCicco [aut, cre], David Lorenz [aut], Jordan Read [ctb], Lindsay Carr [ctb]
Maintainer: Laura DeCicco <ldecicco@usgs.gov>

Diff between dataRetrieval versions 2.5.2 dated 2016-03-04 and 2.5.3 dated 2016-03-28

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Package circlize updated to version 0.3.5 with previous version 0.3.4 dated 2015-12-22

Title: Circular Visualization
Description: Circular layout is an efficient way for the visualization of huge amounts of information. Here the circlize package provides an implementation of circular layout generation in R as well as an enhancement of available software. The flexibility of this package is based on the usage of low-level graphics functions such that self-defined high-level graphics can be easily implemented by users for specific purposes. Together with the seamless connection between the powerful computational and visual environment in R, circlize gives users more convenience and freedom to design figures for better understanding complex patterns behind multi-dimensional data.
Author: Zuguang Gu
Maintainer: Zuguang Gu <z.gu@dkfz.de>

Diff between circlize versions 0.3.4 dated 2015-12-22 and 0.3.5 dated 2016-03-28

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Package SWMPr updated to version 2.1.5 with previous version 2.1.4 dated 2015-10-07

Title: Retrieving, Organizing, and Analyzing Estuary Monitoring Data
Description: Tools for retrieving, organizing, and analyzing environmental data from the System Wide Monitoring Program of the National Estuarine Research Reserve System. These tools address common challenges associated with continuous time series data for environmental decision making.
Author: Marcus W. Beck [aut, cre]
Maintainer: Marcus W. Beck <mbafs2012@gmail.com>

Diff between SWMPr versions 2.1.4 dated 2015-10-07 and 2.1.5 dated 2016-03-28

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Package RVAideMemoire updated to version 0.9-54 with previous version 0.9-53 dated 2016-02-28

Title: Diverse Basic Statistical and Graphical Functions
Description: Contains diverse more or less complicated functions, written to simplify user's life: simplifications of existing functions, basic but not implemented tests, easy-to-use tools, bridges between functions of different packages... All functions are presented in the French book 'Aide-memoire de statistique appliquee a la biologie', written by the same author and available on CRAN.
Author: Maxime Herv
Maintainer: Maxime Herv <mx.herve@gmail.com>

Diff between RVAideMemoire versions 0.9-53 dated 2016-02-28 and 0.9-54 dated 2016-03-28

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Package rappdirs updated to version 0.3.1 with previous version 0.3 dated 2014-09-02

Title: Application Directories: Determine Where to Save Data, Caches, and Logs
Description: An easy way to determine which directories on the users computer you should use to save data, caches and logs. A port of Python's 'Appdirs' (\url{https://github.com/ActiveState/appdirs}) to R.
Author: Hadley Wickham [trl, cre, cph], RStudio [cph], Sridhar Ratnakumar [aut], Trent Mick [aut], ActiveState [cph] (R/appdir.r, R/cache.r, R/data.r, R/log.r translated from appdirs), Eddy Petrisor [ctb], Trevor Davis [trl, aut], Gabor Csardi [ctb], Gregory Jefferis [ctb]
Maintainer: Hadley Wickham <hadley@rstudio.com>

Diff between rappdirs versions 0.3 dated 2014-09-02 and 0.3.1 dated 2016-03-28

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Package tergm updated to version 3.4.0 with previous version 3.3.1 dated 2015-10-25

Title: Fit, Simulate and Diagnose Models for Network Evolution Based on Exponential-Family Random Graph Models
Description: An integrated set of extensions to the 'ergm' package to analyze and simulate network evolution based on exponential-family random graph models (ERGM). 'tergm' is a part of the 'statnet' suite of packages for network analysis.
Author: Pavel N. Krivitsky [aut, cre], Mark S. Handcock [aut, ths], David R. Hunter [ctb], Steven M. Goodreau [ctb, ths], Martina Morris [ctb, ths], Nicole Bohme Carnegie [ctb], Carter T. Butts [ctb], Ayn Leslie-Cook [ctb], Skye Bender-deMoll [ctb], Li Wang [ctb], Kirk Li [ctb]
Maintainer: Pavel N. Krivitsky <pavel@uow.edu.au>

Diff between tergm versions 3.3.1 dated 2015-10-25 and 3.4.0 dated 2016-03-28

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Package shiny updated to version 0.13.2 with previous version 0.13.1 dated 2016-02-17

Title: Web Application Framework for R
Description: Makes it incredibly easy to build interactive web applications with R. Automatic "reactive" binding between inputs and outputs and extensive pre-built widgets make it possible to build beautiful, responsive, and powerful applications with minimal effort.
Author: Winston Chang [aut, cre], Joe Cheng [aut], JJ Allaire [aut], Yihui Xie [aut], Jonathan McPherson [aut], RStudio [cph], jQuery Foundation [cph] (jQuery library and jQuery UI library), jQuery contributors [ctb, cph] (jQuery library; authors listed in inst/www/shared/jquery-AUTHORS.txt), jQuery UI contributors [ctb, cph] (jQuery UI library; authors listed in inst/www/shared/jqueryui/1.10.4/AUTHORS.txt), Mark Otto [ctb] (Bootstrap library), Jacob Thornton [ctb] (Bootstrap library), Bootstrap contributors [ctb] (Bootstrap library), Twitter, Inc [cph] (Bootstrap library), Alexander Farkas [ctb, cph] (html5shiv library), Scott Jehl [ctb, cph] (Respond.js library), Stefan Petre [ctb, cph] (Bootstrap-datepicker library), Andrew Rowls [ctb, cph] (Bootstrap-datepicker library), Dave Gandy [ctb, cph] (Font-Awesome font), Brian Reavis [ctb, cph] (selectize.js library), Kristopher Michael Kowal [ctb, cph] (es5-shim library), es5-shim contributors [ctb, cph] (es5-shim library), Denis Ineshin [ctb, cph] (ion.rangeSlider library), Sami Samhuri [ctb, cph] (Javascript strftime library), SpryMedia Limited [ctb, cph] (DataTables library), John Fraser [ctb, cph] (showdown.js library), John Gruber [ctb, cph] (showdown.js library), Ivan Sagalaev [ctb, cph] (highlight.js library), R Core Team [ctb, cph] (tar implementation from R)
Maintainer: Winston Chang <winston@rstudio.com>

Diff between shiny versions 0.13.1 dated 2016-02-17 and 0.13.2 dated 2016-03-28

 DESCRIPTION                  |    8 ++++----
 MD5                          |   10 +++++-----
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 6 files changed, 28 insertions(+), 20 deletions(-)

More information about shiny at CRAN
Permanent link

New package randstr with initial version 0.1.1
Package: randstr
Type: Package
Title: Generate Random Strings
Version: 0.1.1
Date: 2016-03-28
Author: Alan Gu
Maintainer: Alan Gu <alan.on.ca@gmail.com>
Description: Generate random strings of a dictated size of symbol set and distribution of the lengths of strings.
License: MIT + file LICENSE
LazyData: TRUE
Depends: truncnorm, random, stringi
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-03-28 14:57:27 UTC; alano
Repository: CRAN
Date/Publication: 2016-03-28 17:13:41

More information about randstr at CRAN
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Package Matrix.utils updated to version 0.9.0 with previous version 0.5 dated 2015-12-15

Title: Data.frame-Like Operations on Sparse and Dense Matrix Objects
Description: Implements data manipulation methods such as cast, aggregate, and merge/join for Matrix and matrix-like objects.
Author: Craig Varrichio <canthony427@gmail.com>
Maintainer: Craig Varrichio <canthony427@gmail.com>

Diff between Matrix.utils versions 0.5 dated 2015-12-15 and 0.9.0 dated 2016-03-28

 DESCRIPTION             |   14 +-
 MD5                     |   15 +--
 NAMESPACE               |    3 
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New package junr with initial version 0.1.0
Encoding: UTF-8
Package: junr
Type: Package
Title: Access Open Data Through the Junar API
Description: The Junar API is a commercial platform to organize and publish data <http://junar.com>. It has been used in a number of national and local government Open Data initiatives in Latin America and the USA. This package is a wrapper to make it easier to access data made public through the Junar API.
Version: 0.1.0
Date: 2016-03-28
Authors@R: c(person("Frans", "van Dunné", , "frans@ixpantia.com", c("aut", "cre")) )
BugReports: https://github.com/fvd/junr/issues
LazyData: TRUE
Depends: R (>= 3.0.0)
Imports: httr, jsonlite
Suggests: knitr, rmarkdown, testthat (>= 0.8.0)
VignetteBuilder: knitr
License: MIT + file LICENCE
URL: https://github.com/fvd/junr
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-03-28 15:35:45 UTC; frans
Author: Frans van Dunné [aut, cre]
Maintainer: Frans van Dunné <frans@ixpantia.com>
Repository: CRAN
Date/Publication: 2016-03-28 18:08:23

More information about junr at CRAN
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Package gdm updated to version 1.2.2 with previous version 1.2.0 dated 2016-03-23

Title: Functions for Generalized Dissimilarity Modeling
Description: A toolkit with functions to fit, plot, and summarize Generalized Dissimilarity Models.
Author: Glenn Manion, Matthew Lisk, Simon Ferrier, Diego Nieto-Lugilde, Matthew C. Fitzpatrick
Maintainer: Matthew C. Fitzpatrick <mfitzpatrick@al.umces.edu>

Diff between gdm versions 1.2.0 dated 2016-03-23 and 1.2.2 dated 2016-03-28

 DESCRIPTION              |    8 ++++----
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Package bigmemory updated to version 4.5.19 with previous version 4.5.18 dated 2016-03-08

Title: Manage Massive Matrices with Shared Memory and Memory-Mapped Files
Description: Create, store, access, and manipulate massive matrices. Matrices are allocated to shared memory and may use memory-mapped files. Packages 'biganalytics', 'bigtabulate', 'synchronicity', and 'bigalgebra' provide advanced functionality.
Author: Michael J. Kane <kaneplusplus@gmail.com>, John W. Emerson <jayemerson@gmail.com>, Peter Haverty <haverty.peter@gene.com>, and Charles Determan Jr. <cdetermanjr@gmail.com>
Maintainer: Michael J. Kane <bigmemoryauthors@gmail.com>

Diff between bigmemory versions 4.5.18 dated 2016-03-08 and 4.5.19 dated 2016-03-28

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Package rprojroot updated to version 1.0-2 with previous version 1.0-1 dated 2016-03-27

Title: Finding Files in Project Subdirectories
Description: Robust, reliable and flexible paths to files below a project root. The 'root' of a project is defined as a directory that matches a certain criterion, e.g., it contains a certain regular file.
Author: Kirill Müller [aut, cre]
Maintainer: Kirill Müller <krlmlr+r@mailbox.org>

Diff between rprojroot versions 1.0-1 dated 2016-03-27 and 1.0-2 dated 2016-03-28

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Package NPC updated to version 1.1.0 with previous version 1.0.2 dated 2015-10-21

Title: Nonparametric Combination of Hypothesis Tests
Description: An implementation of nonparametric combination of hypothesis tests. This package performs nonparametric combination (Pesarin and Salmaso 2010), a permutation-based procedure for jointly testing multiple hypotheses. The tests are conducted under the global "sharp" null hypothesis of no effects, and the component tests are combined on the metric of their p-values. A key feature of nonparametric combination is that it accounts for the dependence among tests under the null hypothesis. In addition to the "NPC" function, which performs nonparametric combination itself, the package also contains a number of helper functions, many of which calculate a test statistic given an input of data.
Author: Devin Caughey [aut, cre]
Maintainer: Devin Caughey <devin.caughey@gmail.com>

Diff between NPC versions 1.0.2 dated 2015-10-21 and 1.1.0 dated 2016-03-28

 DESCRIPTION |    9 +++++----
 MD5         |   12 ++++++------
 NAMESPACE   |    5 ++++-
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More information about NPC at CRAN
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Package lessR updated to version 3.4.6 with previous version 3.4.4 dated 2016-03-01

Title: Less Code, More Results
Description: Each function accomplishes the work of several or more standard R functions. For example, two function calls, Read() and CountAll(), read the data and generate summary statistics for all variables in the data frame, plus histograms and bar charts as appropriate. Other functions provide for descriptive statistics, a comprehensive regression analysis, analysis of variance and t-test, plotting, bar chart, histogram, box plot, density curves, calibrated power curve, reading multiple data formats with the same function call, variable labels, color themes, and a built-in help system. A confirmatory factor analysis of multiple indicator measurement models is available, as are pedagogical routines for data simulation such as for the Central Limit Theorem. Compatible with 'RStudio' and 'knitr' including generation of R markdown instructions for interpretative output.
Author: David W. Gerbing, School of Business Administration, Portland State University
Maintainer: David W. Gerbing <gerbing@pdx.edu>

Diff between lessR versions 3.4.4 dated 2016-03-01 and 3.4.6 dated 2016-03-28

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 lessR-3.4.6/lessR/R/pc.zmain.R             |    2 
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 lessR-3.4.6/lessR/R/reg.z3resfitResidual.R |   38 +-
 lessR-3.4.6/lessR/R/reg.z5Plot.R           |   10 
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 lessR-3.4.6/lessR/R/ss.zdata.frame.R       |    3 
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More information about lessR at CRAN
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Package gplots updated to version 3.0.0 with previous version 2.17.0 dated 2015-05-02

Title: Various R Programming Tools for Plotting Data
Description: Various R programming tools for plotting data, including: - calculating and plotting locally smoothed summary function as ('bandplot', 'wapply'), - enhanced versions of standard plots ('barplot2', 'boxplot2', 'heatmap.2', 'smartlegend'), - manipulating colors ('col2hex', 'colorpanel', 'redgreen', 'greenred', 'bluered', 'redblue', 'rich.colors'), - calculating and plotting two-dimensional data summaries ('ci2d', 'hist2d'), - enhanced regression diagnostic plots ('lmplot2', 'residplot'), - formula-enabled interface to 'stats::lowess' function ('lowess'), - displaying textual data in plots ('textplot', 'sinkplot'), - plotting a matrix where each cell contains a dot whose size reflects the relative magnitude of the elements ('balloonplot'), - plotting "Venn" diagrams ('venn'), - displaying Open-Office style plots ('ooplot'), - plotting multiple data on same region, with separate axes ('overplot'), - plotting means and confidence intervals ('plotCI', 'plotmeans'), - spacing points in an x-y plot so they don't overlap ('space').
Author: Gregory R. Warnes, Ben Bolker, Lodewijk Bonebakker, Robert Gentleman, Wolfgang Huber Andy Liaw, Thomas Lumley, Martin Maechler, Arni Magnusson, Steffen Moeller, Marc Schwartz, Bill Venables
Maintainer: Gregory R. Warnes <greg@warnes.net>

Diff between gplots versions 2.17.0 dated 2015-05-02 and 3.0.0 dated 2016-03-28

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 DESCRIPTION                  |   16 
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 26 files changed, 2247 insertions(+), 2290 deletions(-)

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New package hkevp with initial version 1.0
Package: hkevp
Type: Package
Title: Spatial Extreme Value Analysis with the Hierarchical Model of Reich and Shaby (2012)
Version: 1.0
Date: 2016-03-25
Author: Quentin Sebille
Maintainer: Quentin Sebille <quentin.sebille@gmail.com>
Description: Simulation and fitting procedures for a particular hierarchical max-stable model: the HKEVP of Reich and Shaby (2012) <DOI:10.1214/12-AOAS591>. Spatial prediction and marginal distribution extrapolation are also available, which allows a risk estimation at an ungauged site.
License: GPL
LinkingTo: Rcpp, RcppArmadillo
Depends: Rcpp (>= 0.11.0)
RoxygenNote: 5.0.1
NeedsCompilation: yes
Packaged: 2016-03-28 14:47:44 UTC; ligges
Repository: CRAN
Date/Publication: 2016-03-28 16:47:59

More information about hkevp at CRAN
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Package bpcp updated to version 1.3.2 with previous version 1.3.1 dated 2016-01-20

Title: Beta Product Confidence Procedure for Right Censored Data
Description: Calculates nonparametric pointwise confidence intervals for the survival distribution for right censored data. Has two-sample tests for dissimilarity (e.g., difference, ratio or odds ratio) in survival at a fixed time. Especially important for small sample sizes or heavily censored data. Includes mid-p options.
Author: Michael P. Fay
Maintainer: Michael P. Fay <mfay@niaid.nih.gov>

Diff between bpcp versions 1.3.1 dated 2016-01-20 and 1.3.2 dated 2016-03-28

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New package SNPMClust with initial version 1.2
Package: SNPMClust
Type: Package
Version: 1.2
Title: Bivariate Gaussian Genotype Clustering and Calling for Illumina Microarrays
Date: 2016-03-24
Author: Stephen W. Erickson and Joshua Callaway
Maintainer: Joshua Callaway <joshcllw@gmail.com>
Description: Bivariate Gaussian genotype clustering and calling for Illumina microarrays, building on the package 'mclust'. Pronounced snip-em-clust.
Depends: R (>= 2.14.0), MASS, mclust
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2016-03-28 08:56:18 UTC; Josh
X-CRAN-Comment: Archived on 2015-06-19 as maintainer address <SErickson@uams.edu> bounced.
Repository: CRAN
Date/Publication: 2016-03-28 14:20:08

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Package SmarterPoland updated to version 1.7 with previous version 1.5 dated 2015-01-30

Title: Tools for Accessing Various Datasets Developed by the Foundation SmarterPoland.pl
Description: Tools for accessing and processing datasets prepared by the Foundation SmarterPoland.pl. Among all: access to API of Google Maps, Central Statistical Office of Poland, MojePanstwo, Eurostat, WHO and other sources.
Author: Przemyslaw Biecek (Foundation SmarterPoland.pl)
Maintainer: Przemyslaw Biecek <przemyslaw.biecek@gmail.com>

Diff between SmarterPoland versions 1.5 dated 2015-01-30 and 1.7 dated 2016-03-28

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New package rcmdcheck with initial version 1.0.0
Package: rcmdcheck
Title: Run 'R CMD check' from 'R' and Capture Results
Version: 1.0.0
Author: Gabor Csardi
Maintainer: Gabor Csardi <gcsardi@mango-solutions.com>
Description: Run 'R CMD check' from 'R' programmatically, and capture the results of the individual checks.
License: MIT + file LICENSE
LazyData: true
URL: https://github.com/MangoTheCat/rcmdcheck
BugReports: https://github.com/MangoTheCat/rcmdcheck/issues
RoxygenNote: 5.0.1
Suggests: testthat
Imports: clisymbols, crayon, withr
NeedsCompilation: no
Packaged: 2016-03-17 14:57:16 UTC; gaborcsardi
Repository: CRAN
Date/Publication: 2016-03-28 14:05:29

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Package polyclip updated to version 1.5-1 with previous version 1.4-1 dated 2016-02-14

Title: Polygon Clipping
Description: R port of Angus Johnson's open source library Clipper. Performs polygon clipping operations (intersection, union, set minus, set difference) for polygonal regions of arbitrary complexity, including holes. Computes offset polygons (spatial buffer zones, morphological dilations, Minkowski dilations) for polygonal regions and polygonal lines. Computes Minkowski Sum of general polygons. There is a function for removing self-intersections from polygon data.
Author: Angus Johnson [aut] (C++ original, http://www.angusj.com/delphi/clipper.php), Adrian Baddeley [aut, trl, cre], Brian D. Ripley [ctb]
Maintainer: Adrian Baddeley <Adrian.Baddeley@curtin.edu.au>

Diff between polyclip versions 1.4-1 dated 2016-02-14 and 1.5-1 dated 2016-03-28

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Package Gmedian updated to version 1.1 with previous version 1.0 dated 2016-03-27

Title: Geometric Median, k-Median Clustering and Robust Median PCA
Description: Fast algorithms based on averaged stochastic gradient for robust estimation with large samples. Estimation of the geometric median, robust k-Gmedian clustering, and robust PCA based on the Gmedian covariation matrix.
Author: Herve Cardot
Maintainer: Herve Cardot <herve.cardot@u-bourgogne.fr>

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Package pomp updated to version 1.4.1.1 with previous version 1.3.1.1 dated 2016-02-29

Title: Statistical Inference for Partially Observed Markov Processes
Description: Tools for working with partially observed Markov processes (POMPs, AKA stochastic dynamical systems, state-space models). 'pomp' provides facilities for implementing POMP models, simulating them, and fitting them to time series data by a variety of frequentist and Bayesian methods. It is also a platform for the implementation of new inference methods.
Author: Aaron A. King [aut, cre], Edward L. Ionides [aut], Carles Breto [aut], Stephen P. Ellner [ctb], Matthew J. Ferrari [ctb], Bruce E. Kendall [ctb], Michael Lavine [ctb], Dao Nguyen [ctb], Daniel C. Reuman [ctb], Helen Wearing [ctb], Simon N. Wood [ctb], Sebastian Funk [ctb]
Maintainer: Aaron A. King <kingaa@umich.edu>

Diff between pomp versions 1.3.1.1 dated 2016-02-29 and 1.4.1.1 dated 2016-03-28

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Package openVA updated to version 1.0.1 with previous version 1.0 dated 2016-03-12

Title: Automated Method for Verbal Autopsy
Description: Implements multiple existing open-source algorithms for coding cause of death from verbal autopsies. It also provides tools for data manipulation tasks commonly used in Verbal Autopsy analysis and implements easy graphical visualization of individual and population level statistics.
Author: Zehang Li, Tyler McCormick, Sam Clark
Maintainer: Zehang Li <lizehang@uw.edu>

Diff between openVA versions 1.0 dated 2016-03-12 and 1.0.1 dated 2016-03-28

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Package needs updated to version 0.0.3 with previous version 0.0.2 dated 2015-12-18

Title: Attaches and Installs Packages
Description: A simple function for easier package loading and auto-installation.
Author: Josh Katz [aut, cre]
Maintainer: Josh Katz <josh.katz@nytimes.com>

Diff between needs versions 0.0.2 dated 2015-12-18 and 0.0.3 dated 2016-03-28

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Package highcharter updated to version 0.3.0 with previous version 0.2.0 dated 2016-02-25

Title: A Wrapper for the 'Highcharts' Library
Description: A wrapper for the 'Highcharts' library including shortcut functions to plot R objects. 'Highcharts' <http://www.highcharts.com/> is a charting library offering numerous chart types with a simple configuration syntax.
Author: Joshua Kunst <jbkunst@gmail.com>
Maintainer: Joshua Kunst <jbkunst@gmail.com>

Diff between highcharter versions 0.2.0 dated 2016-02-25 and 0.3.0 dated 2016-03-28

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Package ggExtra updated to version 0.4.0 with previous version 0.3.4 dated 2016-01-06

Title: Add Marginal Histograms to 'ggplot2', and More 'ggplot2' Enhancements
Description: Collection of functions and layers to enhance 'ggplot2'. The main function is ggMarginal(), which can be used to add marginal histograms/boxplots/density plots to 'ggplot2' scatterplots.
Author: Dean Attali [aut, cre]
Maintainer: Dean Attali <daattali@gmail.com>

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Package ExpDE updated to version 0.1.2 with previous version 0.1.1 dated 2016-03-26

Title: Modular Differential Evolution for Experimenting with Operators
Description: Modular implementation of the Differential Evolution algorithm for experimenting with different types of operators.
Author: Felipe Campelo [aut, cre], Moises Botelho [aut]
Maintainer: Felipe Campelo <fcampelo@ufmg.br>

Diff between ExpDE versions 0.1.1 dated 2016-03-26 and 0.1.2 dated 2016-03-28

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Package activpalProcessing updated to version 1.0.1 with previous version 1.0 dated 2016-01-25

Title: Process activPAL Events Files
Description: Performs estimation of physical activity and sedentary behavior variables from activPAL (PAL Technologies, Glasgow, Scotland) events files. See <http://paltechnologies.com> for more information on the activPAL.
Author: Kate Lyden
Maintainer: Kate Lyden <activpalProcessing@gmail.com>

Diff between activpalProcessing versions 1.0 dated 2016-01-25 and 1.0.1 dated 2016-03-28

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Sun, 27 Mar 2016

Package R.matlab updated to version 3.5.1 with previous version 3.5.0 dated 2016-03-06

Title: Read and Write MAT Files and Call MATLAB from Within R
Description: Methods readMat() and writeMat() for reading and writing MAT files. For user with MATLAB v6 or newer installed (either locally or on a remote host), the package also provides methods for controlling MATLAB (trademark) via R and sending and retrieving data between R and MATLAB.
Author: Henrik Bengtsson [aut, cre, cph], Andy Jacobson [ctb] (Internal MAT v4 reader), Jason Riedy [ctb] (Support for reading compressed files, sparse matrices and UTF-encoded strings.)
Maintainer: Henrik Bengtsson <henrikb@braju.com>

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Package quantspec updated to version 1.2-1 with previous version 1.2-0 dated 2015-10-20

Title: Quantile-Based Spectral Analysis of Time Series
Description: Methods to determine, smooth and plot quantile periodograms for univariate and multivariate time series.
Author: Tobias Kley [aut, cre], Stefan Birr [ctb] (Contributions to lag window estimation)
Maintainer: Tobias Kley <t.kley@lse.ac.uk>

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Package altmeta updated to version 2.0 with previous version 1.0 dated 2016-02-29

Title: Alternative Meta-Analysis Methods
Description: Provides alternative statistical methods for meta-analysis, including new heterogeneity tests and measures that are robust to outliers, and measures of publication bias.
Author: Lifeng Lin and Haitao Chu
Maintainer: Lifeng Lin <linl@umn.edu>

Diff between altmeta versions 1.0 dated 2016-02-29 and 2.0 dated 2016-03-27

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Package rprojroot updated to version 1.0-1 with previous version 1.0 dated 2016-03-26

Title: Finding Files in Project Subdirectories
Description: Robust, reliable and flexible paths to files below a project root. The 'root' of a project is defined as a directory that matches a certain criterion, e.g., it contains a certain regular file.
Author: Kirill Müller [aut, cre]
Maintainer: Kirill Müller <krlmlr+r@mailbox.org>

Diff between rprojroot versions 1.0 dated 2016-03-26 and 1.0-1 dated 2016-03-27

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Package InSilicoVA updated to version 1.1.1 with previous version 1.1 dated 2016-03-10

Title: Probabilistic Verbal Autopsy Coding with 'InSilicoVA' Algorithm
Description: Computes individual causes of death and population cause-specific mortality fractions using the 'InSilicoVA' algorithm. It uses data derived from verbal autopsy (VA) interviews, in a format similar to the input of the widely used 'InterVA4' method. This package provides general model fitting and customization for 'InSilicoVA' algorithm and basic graphical visualization of the output.
Author: Zehang Li, Tyler McCormick, Sam Clark
Maintainer: Zehang Li <lizehang@uw.edu>

Diff between InSilicoVA versions 1.1 dated 2016-03-10 and 1.1.1 dated 2016-03-27

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New package Gmedian with initial version 1.0
Package: Gmedian
Type: Package
Title: Geometric Median, k-Median Clustering and Robust Median PCA
Version: 1.0
Date: 2016-03-20
Author: Herve Cardot
Maintainer: Herve Cardot <herve.cardot@u-bourgogne.fr>
Description: Fast algorithms based on averaged stochastic gradient for robust estimation with large samples (with data whose dimension is larger than 2). Estimation of the geometric median, robust k-Gmedian clustering, and robust PCA based on the Gmedian covariation matrix.
License: GPL (>= 2)
Depends: R (>= 3.0.2), rARPACK
Imports: Rcpp (>= 0.12.3)
LinkingTo: Rcpp, RcppArmadillo
NeedsCompilation: yes
Packaged: 2016-03-27 16:42:23 UTC; cami
Repository: CRAN
Date/Publication: 2016-03-27 19:42:51

More information about Gmedian at CRAN
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Package expands updated to version 1.7.1 with previous version 1.7 dated 2016-03-26

Title: Expanding Ploidy and Allele-Frequency on Nested Subpopulations
Description: Expanding Ploidy and Allele Frequency on Nested Subpopulations (expands) characterizes coexisting subpopulations in a single tumor sample using copy number and allele frequencies derived from exome- or whole genome sequencing input data (http://www.ncbi.nlm.nih.gov/pubmed/24177718). The model detects coexisting genotypes by leveraging run-specific tradeoffs between depth of coverage and breadth of coverage. This package predicts the number of clonal expansions, the size of the resulting subpopulations in the tumor bulk, the mutations specific to each subpopulation, tumor purity and phylogeny. The main function runExPANdS() provides the complete functionality needed to predict coexisting subpopulations from single nucleotide variations (SNVs) and associated copy numbers. The robustness of subpopulation predictions increases with the number of mutations provided. It is recommended that at least 200 mutations are used as input to obtain stable results. Updates in version 1.7 include: (1) Higher subpopulation detection specificity, in particular for small subpopulations. (2) Higher accuracy for mutation assignment to subpopulations. (3) Whenever possible, SNVs are assigned not only to the subpopulation in which they first occurred, but also to descending subpopulations. (4) Two additional output files are created: subpopulation specific ploidy matrix and a summary file of all detected subpopulations, including information on the inferred ancestor and the closest descendant of each subpopulation. (5) New subpopulation plotting options (function plotSPs). (6) New phylogeny plotting option: user can choose between consensus and germline population to be included as control. (7) 50 simulated samples of various genetic complexities and measurement precision included for user testing. Special thanks to Dr. Ryan Morin for his contributions that have led to higher accuracy measures during simulations for mutation assignment to subpopulations, as well as advanced visualization features of assigned mutations. Further documentation and FAQ available at http://dna-discovery.stanford.edu/software/expands.
Author: Noemi Andor
Maintainer: Noemi Andor <expands.r@gmail.com>

Diff between expands versions 1.7 dated 2016-03-26 and 1.7.1 dated 2016-03-27

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Package blocksdesign updated to version 2.1 with previous version 2.0 dated 2016-02-07

Title: Nested Block Designs for Unstructured Treatments
Description: Constructs nested and crossed block designs for unstructured treatment sets with arbitrary replication not necessarily all equal. Blocks can be nested to any required depth of nesting and blocks are optimized hierarchically from the top down with successive nested blocks strata optimized within the levels of all preceding blocks strata. Block sizes are all equal in any one stratum if the number of blocks in that stratum exactly divides the number of plots, otherwise they differ by at most one plot. The design output is a data table showing a randomised allocation of treatments to blocks together with plans showing the allocation of treatments to blocks for each block in the bottom stratum of the design. D and A-efficiency factors are shown for each stratum together with A-efficiency upper bounds, where available.
Author: R. N. Edmondson
Maintainer: Rodney Edmondson <rodney.edmondson@gmail.com>

Diff between blocksdesign versions 2.0 dated 2016-02-07 and 2.1 dated 2016-03-27

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Package Tariff updated to version 1.0.2 with previous version 1.0.1 dated 2016-03-08

Title: Replicate Tariff Method for Verbal Autopsy
Description: Implement the Tariff algorithm for coding cause-of-death from verbal autopsies. The Tariff method was originally proposed in James et al (2011) <DOI:10.1186/1478-7954-9-31> and later refined as Tariff 2.0 in Serina, et al. (2015) <DOI:10.1186/s12916-015-0527-9>. Note that this package was not developed by authors affiliated with the Institute for Health Metrics and Evaluation and thus unintentional discrepancies may exist between the this implementation and the implementation available from IHME.
Author: Zehang Li, Tyler McCormick, Sam Clark
Maintainer: Zehang Li <lizehang@uw.edu>

Diff between Tariff versions 1.0.1 dated 2016-03-08 and 1.0.2 dated 2016-03-27

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Package simPH updated to version 1.3.7 with previous version 1.3.5 dated 2015-12-15

Title: Tools for Simulating and Plotting Quantities of Interest Estimated from Cox Proportional Hazards Models
Description: Simulates and plots quantities of interest (relative hazards, first differences, and hazard ratios) for linear coefficients, multiplicative interactions, polynomials, penalised splines, and non-proportional hazards, as well as stratified survival curves from Cox Proportional Hazard models. It also simulates and plots marginal effects for multiplicative interactions.
Author: Christopher Gandrud [aut, cre]
Maintainer: Christopher Gandrud <christopher.gandrud@gmail.com>

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Package shinyjs updated to version 0.5.2 with previous version 0.5.0 dated 2016-03-19

Title: Perform Common JavaScript Operations in Shiny Apps using Plain R Code
Description: Perform common JavaScript operations in Shiny applications without having to know any JavaScript. Examples include: hiding an element, disabling an input, resetting an input back to its original value, delaying code execution by a few seconds, and many more useful functions. 'shinyjs' also includes a colour picker widget, a colour picker RStudio addin, and can also be used to easily run your own custom JavaScript functions from R.
Author: Dean Attali [aut, cre]
Maintainer: Dean Attali <daattali@gmail.com>

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Package RobPer updated to version 1.2.2 with previous version 1.2.1 dated 2015-03-02

Title: Robust Periodogram and Periodicity Detection Methods
Description: Calculates periodograms based on (robustly) fitting periodic functions to light curves (irregularly observed time series, possibly with measurement accuracies, occurring in astroparticle physics). Three main functions are included: RobPer() calculates the periodogram. Outlying periodogram bars (indicating a period) can be detected with betaCvMfit(). Artificial light curves can be generated using the function tsgen(). For more details see the corresponding article: Thieler, Fried and Rathjens (2016), Journal of Statistical Software 69(9), 1-36, <doi:10.18637/jss.v069.i09>.
Author: Anita M. Thieler [aut], Jonathan Rathjens [aut, cre], Roland Fried [aut], Brenton R. Clarke [ctb] (function betaCvMfit()), Uwe Ligges [ctb] (function TK95()), Matias Salibian-Barrera [ctb] (functions FastS() and FastTau()), Gert Willems [ctb] (function FastTau()), Victor Yohai [ctb] (function FastS())
Maintainer: Jonathan Rathjens <jonathan.rathjens@tu-dortmund.de>

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Package rgdal updated to version 1.1-7 with previous version 1.1-3 dated 2015-12-21

Title: Bindings for the Geospatial Data Abstraction Library
Description: Provides bindings to Frank Warmerdam's Geospatial Data Abstraction Library (GDAL) (>= 1.6.3) and access to projection/transformation operations from the PROJ.4 library. The GDAL and PROJ.4 libraries are external to the package, and, when installing the package from source, must be correctly installed first. Both GDAL raster and OGR vector map data can be imported into R, and GDAL raster data and OGR vector data exported. Use is made of classes defined in the sp package. Windows and Mac Intel OS X binaries (including GDAL, PROJ.4 and Expat) are provided on CRAN.
Author: Roger Bivand [cre, aut], Tim Keitt [aut], Barry Rowlingson [aut], Edzer Pebesma [ctb], Michael Sumner [ctb], Robert Hijmans [ctb], Even Rouault [ctb]
Maintainer: Roger Bivand <Roger.Bivand@nhh.no>

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Package rebmix updated to version 2.8.1 with previous version 2.8.0 dated 2016-03-25

Title: Finite Mixture Modeling, Clustering & Classification
Description: R functions for random univariate and multivariate finite mixture model generation, estimation, clustering and classification. Variables can be continuous, discrete, independent or dependent and may follow normal, lognormal, Weibull, gamma, binomial, Poisson or Dirac parametric families.
Author: Marko Nagode [aut, cre]
Maintainer: Marko Nagode <marko.nagode@fs.uni-lj.si>

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Package PAC updated to version 1.0.1 with previous version 1.0.0 dated 2016-03-25

Title: Partition-Assisted Clustering
Description: Implements Partition-Assisted Clustering, which utilizes a collection of partition based nonparametric density estimation techniques to improve the robustness and accuracy of downstream clustering. The package also provides functions for effectively visualizing the clustering results. It is particularly useful for finding and visualizing subpopulations in single-cell data analysis.
Author: Dangna Li, Henry Li
Maintainer: Dangna Li <ldangna@gmail.com>

Diff between PAC versions 1.0.0 dated 2016-03-25 and 1.0.1 dated 2016-03-27

 DESCRIPTION  |    6 +++---
 MD5          |    6 +++---
 R/PAC.R      |    1 +
 configure.ac |   17 +++++++++++++++++
 4 files changed, 24 insertions(+), 6 deletions(-)

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Package ggseas updated to version 0.4.0 with previous version 0.3.0 dated 2016-03-14

Title: 'stats' for Seasonal Adjustment on the Fly with 'ggplot2'
Description: Provides 'ggplot2' 'stats' that estimate seasonally adjusted series and rolling summaries such as rolling average on the fly for time series.
Author: Peter Ellis [aut, cre], Christophe Sax [ctb]
Maintainer: Peter Ellis <peter.ellis2013nz@gmail.com>

Diff between ggseas versions 0.3.0 dated 2016-03-14 and 0.4.0 dated 2016-03-27

 DESCRIPTION            |   14 ++++++++----
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 R/decompose-seasonal.R |   25 +++++++++++++++++----
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 tests                  |only
 11 files changed, 182 insertions(+), 83 deletions(-)

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New package fmrs with initial version 1.0-5
Package: fmrs
Type: Package
Title: Variable Selection in Finite Mixture of AFT Regression and FMR
Version: 1.0-5
Date: 2016-03-25
Author: Farhad Shokoohi <shokoohi@icloud.com>
Maintainer: Farhad Shokoohi <shokoohi@icloud.com>
Depends: R (>= 3.2.4)
Imports: methods, stats
Description: Provides parameter estimation as well as variable selection in Finite Mixture of Accelerated Failure Time Regression Models and Finite Mixture of Regression models. It also provides the Ridge regression and Elastic Net.
biocViews: Survival, Regression, DimensionReduction
License: GPL (>= 3)
LazyData: TRUE
Suggests: knitr, utils
VignetteBuilder: knitr
RoxygenNote: 5.0.1
BugReports: https://github.com/shokoohi/fmrs/issues
NeedsCompilation: yes
Packaged: 2016-03-26 21:45:49 UTC; Farhad
Repository: CRAN
Date/Publication: 2016-03-27 18:24:32

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New package estatapi with initial version 0.2
Package: estatapi
Type: Package
Title: R Interface to e-Stat API
Version: 0.2
Date: 2016-03-27
Authors@R: person("Hiroaki", "Yutani", email = "yutani.ini@gmail.com", role = c("aut", "cre"))
Description: Provides an interface to e-Stat API, the one-stop service for official statistics of the Japanese government.
License: MIT + file LICENSE
LazyData: TRUE
Depends: R (>= 3.1.2)
Imports: httr, dplyr, purrr(>= 0.2), readr
RoxygenNote: 5.0.1
Suggests: testthat
NeedsCompilation: no
Packaged: 2016-03-27 16:14:32 UTC; yutani
Author: Hiroaki Yutani [aut, cre]
Maintainer: Hiroaki Yutani <yutani.ini@gmail.com>
Repository: CRAN
Date/Publication: 2016-03-27 18:22:22

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New package ergm.ego with initial version 0.3.0
Package: ergm.ego
Version: 0.3.0
Date: 2016-03-26
Title: Fit, Simulate and Diagnose Exponential-Family Random Graph Models to Egocentrically Sampled Network Data
Authors@R: c( person("Pavel N.", "Krivitsky", role=c("aut","cre"), email="pavel@uow.edu.au"), person("Steven M.", "Goodreau", role=c("ctb"), email="goodreau@u.washington.edu"), person("Martina", "Morris", role=c("ctb"), email="morrism@u.washington.edu"), person("Kirk", "Li", role=c("ctb"), email="kirkli@uw.edu"), person("Emily N.", "Beylerian", role=c("ctb"), email="ebey@uw.edu"))
Depends: ergm (>= 3.5), network
Imports: statnet.common, coda, RColorBrewer
Description: Utilities for managing egocentrically sampled network data and a wrapper around the 'ergm' package to facilitate ERGM inference and simulation from such data.
License: GPL-3 + file LICENSE
URL: http://www.statnet.org
NeedsCompilation: no
Packaged: 2016-03-27 01:10:02 UTC; pavel
Author: Pavel N. Krivitsky [aut, cre], Steven M. Goodreau [ctb], Martina Morris [ctb], Kirk Li [ctb], Emily N. Beylerian [ctb]
Maintainer: Pavel N. Krivitsky <pavel@uow.edu.au>
Repository: CRAN
Date/Publication: 2016-03-27 17:53:32

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Package DataCombine updated to version 0.2.20 with previous version 0.2.19 dated 2016-03-07

Title: Tools for Easily Combining and Cleaning Data Sets
Description: Tools for combining and cleaning data sets, particularly with grouped and time series data.
Author: Christopher Gandrud [aut, cre]
Maintainer: Christopher Gandrud <christopher.gandrud@gmail.com>

Diff between DataCombine versions 0.2.19 dated 2016-03-07 and 0.2.20 dated 2016-03-27

 DESCRIPTION   |   10 +++++-----
 MD5           |   16 ++++++++--------
 NAMESPACE     |    1 +
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 man/DropNA.Rd |    6 +++++-
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 9 files changed, 54 insertions(+), 27 deletions(-)

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Sat, 26 Mar 2016

Package RcppMLPACK (with last version 1.0.10-2) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2015-02-08 1.0.10-2
2014-12-21 1.0.10
2014-08-20 1.0.9-3
2014-08-11 1.0.9

Permanent link
Package sSDR updated to version 1.2.0 with previous version 1.1.0 dated 2016-01-14

Title: Tools Developed for Structured Sufficient Dimension Reduction (sSDR)
Description: Performs structured OLS (sOLS) and structured SIR (sSIR).
Author: Yang Liu <zjubioly@gmail.com>, Francesca Chiaromonte, Bing Li
Maintainer: Yang Liu <zjubioly@gmail.com>

Diff between sSDR versions 1.1.0 dated 2016-01-14 and 1.2.0 dated 2016-03-26

 DESCRIPTION        |    8 -
 MD5                |   14 +-
 R/sSDR.R           |  341 +++++++++++++++--------------------------------------
 man/gOLS.Rd        |   21 ---
 man/gOLS.comp.d.Rd |    7 -
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 man/gSIR.comp.d.Rd |    7 -
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New package rprojroot with initial version 1.0
Package: rprojroot
Title: Finding Files in Project Subdirectories
Version: 1.0
Authors@R: person(given = "Kirill", family = "Müller", role = c("aut", "cre"), email = "krlmlr+r@mailbox.org")
Description: Robust, reliable and flexible paths to files below a project root. The 'root' of a project is defined as a directory that matches a certain criterion, e.g., it contains a certain regular file.
Depends: R (>= 3.0.0)
Suggests: testthat, knitr, withr, rmarkdown
VignetteBuilder: knitr
License: GPL-3
LazyData: true
Encoding: UTF-8
URL: https://krlmlr.github.io/rprojroot
URLNote: https://github.com/krlmlr/rprojroot
BugReports: https://github.com/krlmlr/rprojroot/issues
RoxygenNote: 5.0.1
Collate: 'rrmake.R' 'criterion.R' 'file.R' 'has-file.R' 'root.R' 'shortcut.R' 'zzz-autoroxy.R'
NeedsCompilation: no
Packaged: 2016-03-26 20:40:09 UTC; muelleki
Author: Kirill Müller [aut, cre]
Maintainer: Kirill Müller <krlmlr+r@mailbox.org>
Repository: CRAN
Date/Publication: 2016-03-26 22:02:23

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Package RDS updated to version 0.7-6 with previous version 0.7-5 dated 2016-02-23

Title: Respondent-Driven Sampling
Description: Provides functionality for carrying out estimation with data collected using Respondent-Driven Sampling. This includes Heckathorn's RDS-I and RDS-II estimators as well as Gile's Sequential Sampling estimator. The package is part of the "RDS Analyst" suite of packages for the analysis of respondent-driven sampling data.
Author: Mark S. Handcock [aut, cre], Krista J. Gile [aut], Ian E. Fellows [aut], W. Whipple Neely [aut]
Maintainer: Mark S. Handcock <handcock@stat.ucla.edu>

Diff between RDS versions 0.7-5 dated 2016-02-23 and 0.7-6 dated 2016-03-26

 DESCRIPTION             |    8 +++---
 MD5                     |    6 ++--
 R/LRT.trend.R           |   58 ++++++++++++++----------------------------------
 R/rds.estimates.local.R |    5 ++--
 4 files changed, 28 insertions(+), 49 deletions(-)

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Package Rcpp updated to version 0.12.4 with previous version 0.12.3 dated 2016-01-10

Title: Seamless R and C++ Integration
Description: The 'Rcpp' package provides R functions as well as C++ classes which offer a seamless integration of R and C++. Many R data types and objects can be mapped back and forth to C++ equivalents which facilitates both writing of new code as well as easier integration of third-party libraries. Documentation about 'Rcpp' is provided by several vignettes included in this package, via the 'Rcpp Gallery' site at <http://gallery.rcpp.org>, the paper by Eddelbuettel and Francois (2011, JSS), and the book by Eddelbuettel (2013, Springer); see 'citation("Rcpp")' for details on these last two.
Author: Dirk Eddelbuettel, Romain Francois, JJ Allaire, Kevin Ushey, Qiang Kou, Douglas Bates and John Chambers
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between Rcpp versions 0.12.3 dated 2016-01-10 and 0.12.4 dated 2016-03-26

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 inst/unitTests/cpp/Vector.cpp                         |    5 
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 inst/unitTests/runit.DataFrame.R                      |    2 
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Package ProTrackR updated to version 0.3.3 with previous version 0.2.3 dated 2015-11-07

Title: Manipulate and Play 'ProTracker' Modules
Description: 'ProTracker' is a popular music tracker to sequence music on a Commodore Amiga machine. This package offers the opportunity to import, export, manipulate an play 'ProTracker' module files. Even though the file format could be considered archaic, it still remains popular to this date. This package intends to contribute to this popularity and therewith keeping the legacy of 'ProTracker' and the Commodore Amiga alive.
Author: Pepijn de Vries [aut, cre, dtc]
Maintainer: Pepijn de Vries <pepijn.devries@outlook.com>

Diff between ProTrackR versions 0.2.3 dated 2015-11-07 and 0.3.3 dated 2016-03-26

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Package kknn updated to version 1.3.1 with previous version 1.3.0 dated 2015-07-09

Title: Weighted k-Nearest Neighbors
Description: Weighted k-Nearest Neighbors for Classification, Regression and Clustering.
Author: Klaus Schliep [aut, cre], Klaus Hechenbichler [aut], Antoine Lizee [ctb]
Maintainer: Klaus Schliep <klaus.schliep@gmail.com>

Diff between kknn versions 1.3.0 dated 2015-07-09 and 1.3.1 dated 2016-03-26

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Package dagitty updated to version 0.1-10 with previous version 0.1-9 dated 2016-03-22

Title: Graphical Analysis of Structural Causal Models
Description: A port of the web-based software 'DAGitty', available at <http://dagitty.net>, for analyzing structural causal models (also known as directed acyclic graphs or DAGs). This package computes covariate adjustment sets for estimating causal effects, enumerates instrumental variables, derives testable implications (d-separation and vanishing tetrads), generates equivalent models, and includes a simple facility for data simulation.
Author: Johannes Textor, Benito van der Zander
Maintainer: Johannes Textor <johannes.textor@gmx.de>

Diff between dagitty versions 0.1-9 dated 2016-03-22 and 0.1-10 dated 2016-03-26

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Package betalink updated to version 2.2.1 with previous version 2.2.0 dated 2015-12-22

Title: Beta-Diversity of Species Interactions
Description: Measures of beta-diversity in networks, and easy visualization of why two networks are different.
Author: Timothee Poisot <tim@poisotlab.io>
Maintainer: Timothee Poisot <tim@poisotlab.io>

Diff between betalink versions 2.2.0 dated 2015-12-22 and 2.2.1 dated 2016-03-26

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Package arulesSequences updated to version 0.2-14 with previous version 0.2-13 dated 2016-01-26

Title: Mining Frequent Sequences
Description: Add-on for arules to handle and mine frequent sequences. Provides interfaces to the C++ implementation of cSPADE by Mohammed J. Zaki.
Author: Christian Buchta and Michael Hahsler, with contributions from Daniel Diaz
Maintainer: Christian Buchta <christian.buchta@wu.ac.at>

Diff between arulesSequences versions 0.2-13 dated 2016-01-26 and 0.2-14 dated 2016-03-26

 CHANGELOG                   |    6 
 DESCRIPTION                 |    8 -
 MD5                         |   44 +++----
 NAMESPACE                   |    6 
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 tests/arules.Rout.save      |    2 
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 23 files changed, 413 insertions(+), 97 deletions(-)

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New package ZillowR with initial version 0.1.0
Package: ZillowR
Type: Package
Title: R Interface to Zillow Real Estate and Mortgage Data API
Version: 0.1.0
Date: 2016-03-26
Author: Justin Brantley <fascinatingfingers@icloud.com>
Maintainer: Justin Brantley <fascinatingfingers@icloud.com>
URL: https://github.com/fascinatingfingers/ZillowR
Description: Zillow, an online real estate company, provides real estate and mortgage data for the United States through a REST API. The ZillowR package provides an R function for each API service, making it easy to make API calls and process the response into convenient, R-friendly data structures. See <http://www.zillow.com/howto/api/APIOverview.htm> for the Zillow API Documentation.
License: GPL-3
LazyData: TRUE
Imports: methods, utils, RCurl, XML
Suggests: testthat
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-03-26 09:33:22 UTC; justi
Repository: CRAN
Date/Publication: 2016-03-26 17:08:56

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Package treemap updated to version 2.4-1 with previous version 2.4 dated 2015-10-14

Title: Treemap Visualization
Description: A treemap is a space-filling visualization of hierarchical structures. This package offers great flexibility to draw treemaps.
Author: Martijn Tennekes
Maintainer: Martijn Tennekes <mtennekes@gmail.com>

Diff between treemap versions 2.4 dated 2015-10-14 and 2.4-1 dated 2016-03-26

 treemap-2.4-1/treemap/DESCRIPTION                     |   10 ++--
 treemap-2.4-1/treemap/MD5                             |   38 +++++++++---------
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 treemap-2.4-1/treemap/R/pkg.R                         |    9 ----
 treemap-2.4-1/treemap/R/treecolors.R                  |    2 
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New package TotalCopheneticIndex with initial version 0.1
Package: TotalCopheneticIndex
Version: 0.1
Date: 2016-03-23
Title: Total Cophenetic Index
Author: Martin R. Smith
Maintainer: Martin R. Smith <martins@gmail.com>
Description: Quantifies how balanced a phylogenetic tree is, using the Total Cophenetic Index - per A. Mir, F. Rossello, L. A. Rotger (2013), A new balance index for phylogenetic trees. Math. Biosci. 241, 125-136 <DOI:10.1016/j.mbs.2012.10.005>.
Imports: ape
License: Unlimited
URL: https://github.com/ms609/tci
Packaged: 2016-03-25 19:00:45 UTC; ms609
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2016-03-26 17:08:55

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New package tailDepFun with initial version 1.0.0
Package: tailDepFun
Type: Package
Title: Minimum Distance Estimation of Tail Dependence Models
Description: Provides functions implementing minimal distance estimation methods for parametric tail dependence models.
Version: 1.0.0
Date: 2016-03-25
Author: Anna Kiriliouk
Maintainer: Anna Kiriliouk <anna.kiriliouk@uclouvain.be>
Depends: R (>= 3.2.3)
Imports: cubature, mvtnorm, SpatialExtremes, copula, stats, utils
Suggests: R.rsp
VignetteBuilder: R.rsp
License: GPL-3
LazyData: true
Collate: 'Other.R' 'helpFunctions.R' 'EstimationBR.R' 'EstimationGumbel.R' 'EstimationML.R'
RoxygenNote: 5.0.1
NeedsCompilation: yes
Packaged: 2016-03-26 15:23:02 UTC; Anna
Repository: CRAN
Date/Publication: 2016-03-26 17:09:04

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New package seqtest with initial version 0.1-0
Package: seqtest
Type: Package
Title: Sequential Triangular Test
Version: 0.1-0
Date: 2016-03-26
Authors@R: person(given = "Takuya", family = "Yanagida", email="takuya.yanagida@univie.ac.at", role = c("cre","aut"))
Author: Takuya Yanagida [cre, aut]
Maintainer: Takuya Yanagida <takuya.yanagida@univie.ac.at>
Description: Sequential triangular test for the arithmetic mean in one- and two- samples, proportions in one- and two-samples, and the Pearson's correlation coefficient.
License: GPL-3
LazyLoad: yes
LazyData: true
Depends: R (>= 3.2.0)
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-03-26 00:33:14 UTC; Takuya
Repository: CRAN
Date/Publication: 2016-03-26 17:09:02

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New package SCRSELECT with initial version 1.0-0
Package: SCRSELECT
Title: Performs Bayesian Variable Selection on the Covariates in a Semi-Competing Risks Model
Version: 1.0-0
Authors@R: person("Andrew", "Chapple", email = "Andrew.G.Chapple@rice.edu", role = c("aut", "cre"))
Description: Uses Stochastic Search Variable Selection to select important covariates in the three hazard functions of a semi-competing risks model. This function performs the Gibbs sampler for variable selection and a Metropolis-Hastings-Green sampler for the number of split points and parameters for the three baseline hazard function. This function returns the posterior sample of all quantities sampled in the Gibbs sampler after a burn-in period to a desired file location.
Depends: R (>= 3.2.2), mvtnorm
License: GPL-2
LazyData: true
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-03-25 14:08:24 UTC; Andrew
Author: Andrew Chapple [aut, cre]
Maintainer: Andrew Chapple <Andrew.G.Chapple@rice.edu>
Repository: CRAN
Date/Publication: 2016-03-26 17:21:32

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New package rscorecard with initial version 0.2.4
Package: rscorecard
Title: A Method to Download Department of Education College Scorecard Data
Version: 0.2.4
Authors@R: person("Benjamin", "Skinner", email = "b.skinner@vanderbilt.edu", role = c("aut", "cre"))
Author: Benjamin Skinner [aut, cre]
Maintainer: Benjamin Skinner <b.skinner@vanderbilt.edu>
URL: http://github.com/btskinner/rscorecard
BugReports: http://github.com/btskinner/rscorecard/issues
Description: A method to download Department of Education College Scorecard data using the public API. It is based on the dplyr model of piped commands to select and filter data in a single chained function call. An API key from the U.S. Department of Education is required.
Depends: R (>= 3.2.3)
License: MIT + file LICENSE
LazyData: true
Imports: dplyr, jsonlite, lazyeval, magrittr
RoxygenNote: 5.0.1
Suggests: knitr, rmarkdown, testthat
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2016-03-25 21:08:10 UTC; benski
Repository: CRAN
Date/Publication: 2016-03-26 17:09:01

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Package googleformr updated to version 0.0.2 with previous version 0.0.1 dated 2016-01-06

Title: Collect Data Programmatically by POST Methods to Google Forms
Description: GET and POST data to Google Forms; more secure than having to expose Google Sheets in order to POST data.
Author: Steve Simpson [aut, cre]
Maintainer: Steve Simpson <steven.troy.simpson@gmail.com>

Diff between googleformr versions 0.0.1 dated 2016-01-06 and 0.0.2 dated 2016-03-26

 googleformr-0.0.1/googleformr/R/why_R_u_thankful.R      |only
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New package braQCA with initial version 0.9.7.0
Package: braQCA
Title: Bootstrapped Robustness Assessment for Qualitative Comparative Analysis
Version: 0.9.7.0
Authors@R: c(person("C. Ben", "Gibson", role = c("aut", "cre"), email = "cbgibson@uci.edu"), person("Burrel", "Vann Jr", role = "aut",email = "bvann@uci.edu"))
Description: Test the robustness of a user's Qualitative Comparative Analysis solutions to randomness, using the bootstrapped assessment: baQCA(). This package also includes a function that provides recommendations for improving solutions to reach typical significance levels: brQCA().
Depends: R (>= 3.2.3), QCAGUI, bootstrap
License: GPL-2
LazyData: true
NeedsCompilation: no
Packaged: 2016-03-25 19:56:23 UTC; burrelvannjr
Author: C. Ben Gibson [aut, cre], Burrel Vann Jr [aut]
Maintainer: C. Ben Gibson <cbgibson@uci.edu>
Repository: CRAN
Date/Publication: 2016-03-26 17:08:58

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Package tabplot updated to version 1.3 with previous version 1.1 dated 2014-02-24

Title: Tableplot, a Visualization of Large Datasets
Description: A tableplot is a visualisation of a (large) dataset with a dozen of variables, both numeric and categorical. Each column represents a variable and each row bin is an aggregate of a certain number of records. Numeric variables are visualized as bar charts, and categorical variables as stacked bar charts. Missing values are taken into account. Also supports large ffdf datasets from the ff package.
Author: Martijn Tennekes and Edwin de Jonge
Maintainer: Martijn Tennekes <mtennekes@gmail.com>

Diff between tabplot versions 1.1 dated 2014-02-24 and 1.3 dated 2016-03-26

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Package optCluster updated to version 1.1.0 with previous version 1.0.1 dated 2015-10-19

Title: Determine Optimal Clustering Algorithm and Number of Clusters
Description: Cluster analysis using statistical and biological validation measures for both continuous and count data.
Author: Michael Sekula <michael.sekula@louisville.edu>, Somnath Datta <somnath.datta@louisville.edu>, and Susmita Datta <susmita.datta@louisville.edu>
Maintainer: Michael Sekula <michael.sekula@louisville.edu>

Diff between optCluster versions 1.0.1 dated 2015-10-19 and 1.1.0 dated 2016-03-26

 DESCRIPTION              |    8 +-
 MD5                      |   12 +--
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Package NEpiC updated to version 1.0.1 with previous version 1.0 dated 2015-11-26

Title: Network Assisted Algorithm for Epigenetic Studies Using Mean and Variance Combined Signals
Description: Package for a Network assisted algorithm for Epigenetic studies using mean and variance Combined signals: NEpiC. NEpiC combines both signals in mean and variance differences in methylation level between case and control groups searching for differentially methylated sub-networks (modules) using the protein-protein interaction network.
Author: Peifeng Ruan
Maintainer: Peifeng Ruan <pruan12@fudan.edu.cn>

Diff between NEpiC versions 1.0 dated 2015-11-26 and 1.0.1 dated 2016-03-26

 DESCRIPTION        |   10 +++++-----
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Package Information updated to version 0.0.8 with previous version 0.0.7 dated 2015-11-19

Title: Data Exploration with Information Theory (Weight-of-Evidence and Information Value)
Description: Performs exploratory data analysis and variable screening for binary classification models using weight-of-evidence (WOE) and information value (IV). In order to make the package as efficient as possible, aggregations are done in data.table and creation of WOE vectors can be distributed across multiple cores. The package also supports exploration for uplift models (NWOE and NIV).
Author: Larsen Kim [aut, cre]
Maintainer: Larsen Kim <kblarsen4@gmail.com>

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Package HiveR updated to version 0.2.55 with previous version 0.2.46 dated 2016-01-25

Title: 2D and 3D Hive Plots for R
Description: Creates and plots 2D and 3D hive plots. Hive plots are a unique method of displaying networks of many types in which node properties are mapped to axes using meaningful properties rather than being arbitrarily positioned. The hive plot concept was invented by Martin Krzywinski at the Genome Science Center (www.hiveplot.net/). Keywords: networks, food webs, linnet, systems biology, bioinformatics.
Author: Bryan A. Hanson [aut, cre], Vesna Memisevic [ctb], Jonathan Chung [ctb]
Maintainer: Bryan A. Hanson <hanson@depauw.edu>

Diff between HiveR versions 0.2.46 dated 2016-01-25 and 0.2.55 dated 2016-03-26

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Package heplots updated to version 1.1-0 with previous version 1.0-16 dated 2015-07-12

Title: Visualizing Hypothesis Tests in Multivariate Linear Models
Description: Provides HE plot and other functions for visualizing hypothesis tests in multivariate linear models. HE plots represent sums-of-squares-and-products matrices for linear hypotheses and for error using ellipses (in two dimensions) and ellipsoids (in three dimensions). The related "candisc" package provides visualizations in a reduced-rank canonical discriminant space when there are more than a few response variables.
Author: John Fox [aut], Michael Friendly [aut, cre], Georges Monette [ctb]
Maintainer: Michael Friendly <friendly@yorku.ca>

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Permanent link

New package ExpDE with initial version 0.1.1
Package: ExpDE
Type: Package
Title: Modular Differential Evolution for Experimenting with Operators
Version: 0.1.1
Date: 2016-03-25
Authors@R: c( person("Felipe", "Campelo", email = "fcampelo@ufmg.br", role = c("aut", "cre")), person("Moises", "Botelho", email = "moisesbotelho@ufmg.br", role = "aut"))
Maintainer: Felipe Campelo <fcampelo@ufmg.br>
Description: Modular implementation of the Differential Evolution algorithm for experimenting with different types of operators.
License: GPL-2
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-03-25 21:37:26 UTC; fcampelo
Author: Felipe Campelo [aut, cre], Moises Botelho [aut]
Repository: CRAN
Date/Publication: 2016-03-26 15:12:53

More information about ExpDE at CRAN
Permanent link

Package expands updated to version 1.7 with previous version 1.6.1 dated 2015-12-03

Title: Expanding Ploidy and Allele-Frequency on Nested Subpopulations
Description: Expanding Ploidy and Allele Frequency on Nested Subpopulations (expands) characterizes coexisting subpopulations in a single tumor sample using copy number and allele frequencies derived from exome- or whole genome sequencing input data (http://www.ncbi.nlm.nih.gov/pubmed/24177718). The model detects coexisting genotypes by leveraging run-specific tradeoffs between depth of coverage and breadth of coverage. This package predicts the number of clonal expansions, the size of the resulting subpopulations in the tumor bulk, the mutations specific to each subpopulation, tumor purity and phylogeny. The main function runExPANdS() provides the complete functionality needed to predict coexisting subpopulations from single nucleotide variations (SNVs) and associated copy numbers. The robustness of subpopulation predictions increases with the number of mutations provided. It is recommended that at least 200 mutations are used as input to obtain stable results. Updates in version 1.7 include: (1) Higher subpopulation detection specificity, in particular for small subpopulations. (2) Higher accuracy for mutation assignment to subpopulations. (3) Whenever possible, SNVs are assigned not only to the subpopulation in which they first occurred, but also to descending subpopulations. (4) Two additional output files are created: subpopulation specific ploidy matrix and a summary file of all detected subpopulations, including information on the inferred ancestor and the closest descendant of each subpopulation. (5) New subpopulation plotting options (function plotSPs). (6) New phylogeny plotting option: user can choose between consensus and germline population to be included as control. (7) 50 simulated samples of various genetic complexities and noise levels included for user testing. Special thanks to Dr. Ryan Morin for his contributions that have led to higher accuracy measures during simulations for mutation assignment to subpopulations, as well as advanced visualization features of assigned mutations. Further documentation and FAQ available at http://dna-discovery.stanford.edu/software/expands.
Author: Noemi Andor
Maintainer: Noemi Andor <expands.r@gmail.com>

Diff between expands versions 1.6.1 dated 2015-12-03 and 1.7 dated 2016-03-26

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More information about expands at CRAN
Permanent link

Package comf updated to version 0.1.2 with previous version 0.1.1 dated 2016-03-06

Title: Calculation of Thermal Comfort Indices
Description: Functions to calculate various common and less common thermal comfort indices.
Author: Marcel Schweiker [aut, cre] and Sophia Mueller [aut] and Michael Kleber [ctr] and Boris Kingma [ctr] and Masanori Shukuya [ctr]
Maintainer: Marcel Schweiker <marcel.schweiker@kit.edu>

Diff between comf versions 0.1.1 dated 2016-03-06 and 0.1.2 dated 2016-03-26

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Fri, 25 Mar 2016

New package trelliscope with initial version 0.9.4
Package: trelliscope
Type: Package
Title: Create and Navigate Large Multi-Panel Visual Displays
Version: 0.9.4
Date: 2016-03-23
Authors@R: c(person("Ryan", "Hafen", email = "rhafen@gmail.com", role = c("aut", "cre")), person("Jeremiah", "Rounds", role = "ctb"), person("Barret", "Schloerke", role = "ctb"), person("Landon", "Sego", role = "ctb"))
Maintainer: Ryan Hafen <rhafen@gmail.com>
Description: An extension of Trellis Display that enables creation, organization, and interactive viewing of multi-panel displays created against potentially very large data sets. The dynamic viewer tiles panels of a display across the screen in a web browser and allows the user to interactively page through the panels and sort and filter them based on "cognostic" metrics computed for each panel. Panels can be created using many of R's plotting capabilities, including base R graphics, 'lattice', 'ggplot2', and many 'htmlwidgets'. Conditioning is handled through the 'datadr' package, which enables 'Trelliscope' displays with potentially millions of panels to be created against terabytes of data on systems like 'Hadoop'. While designed to scale, 'Trelliscope' displays can also be very useful for small data sets.
URL: http://tessera.io/docs-trelliscope
BugReports: https://github.com/tesseradata/trelliscope/issues
License: BSD_3_clause + file LICENSE
LazyData: yes
NeedsCompilation: no
Depends: R (>= 3.0.0), datadr (>= 0.8.5),
Imports: lattice (>= 0.20-23), ggplot2, data.table, base64enc, shiny (>= 0.12.0), htmlwidgets (>= 0.5.0), digest, jsonlite, hexbin, png, rsconnect
Suggests: Cairo, dplyr, testthat (>= 0.11.0), roxygen2 (>= 5.0.1), scagnostics, housingData
RoxygenNote: 5.0.1
Packaged: 2016-03-25 00:45:57 UTC; hafen
Author: Ryan Hafen [aut, cre], Jeremiah Rounds [ctb], Barret Schloerke [ctb], Landon Sego [ctb]
Repository: CRAN
Date/Publication: 2016-03-25 20:01:08

More information about trelliscope at CRAN
Permanent link

Package rebmix updated to version 2.8.0 with previous version 2.7.2 dated 2015-08-13

Title: Finite Mixture Modeling, Clustering & Classification
Description: R functions for random univariate and multivariate finite mixture model generation, estimation, clustering and classification. Variables can be continuous, discrete, independent or dependent and may follow normal, lognormal, Weibull, gamma, binomial, Poisson or Dirac parametric families.
Author: Marko Nagode [aut, cre]
Maintainer: Marko Nagode <marko.nagode@fs.uni-lj.si>

Diff between rebmix versions 2.7.2 dated 2015-08-13 and 2.8.0 dated 2016-03-25

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More information about rebmix at CRAN
Permanent link

Package missMDA updated to version 1.10 with previous version 1.9 dated 2015-12-15

Title: Handling Missing Values with Multivariate Data Analysis
Description: Imputation of incomplete continuous or categorical datasets; Missing values are imputed with a principal component analysis (PCA), a multiple correspondence analysis (MCA) model or a multiple factor analysis (MFA) model; Perform multiple imputation with and in PCA.
Author: Francois Husson, Julie Josse
Maintainer: Francois Husson <husson@agrocampus-ouest.fr>

Diff between missMDA versions 1.9 dated 2015-12-15 and 1.10 dated 2016-03-25

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More information about missMDA at CRAN
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Package mcmcse updated to version 1.2-1 with previous version 1.1-2 dated 2015-08-24

Title: Monte Carlo Standard Errors for MCMC
Description: Provides tools for computing Monte Carlo standard errors (MCSE) in Markov chain Monte Carlo (MCMC) settings. MCSE computation for expectation and quantile estimators is supported as well as multivariate estimations. The package also provides functions for computing effective sample size and for plotting Monte Carlo estimates versus sample size.
Author: James M. Flegal <jflegal@ucr.edu>, John Hughes <hughesj@umn.edu> and Dootika Vats <vatsx007@umn.edu>
Maintainer: James M. Flegal <jflegal@ucr.edu>

Diff between mcmcse versions 1.1-2 dated 2015-08-24 and 1.2-1 dated 2016-03-25

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New package hBayesDM with initial version 0.2.0
Package: hBayesDM
Title: Hierarchical Bayesian Modeling of Decision-Making Tasks
Version: 0.2.0
Date: 2016-3-24
Authors@R: c( person("Woo-Young", "Ahn", email = "ahn.280@osu.edu", role = c("aut", "cre")), person("Nate", "Haines", email = "haines.175@osu.edu", role = c("aut")), person("Lei", "Zhang", email = "bnuzhanglei2008@gmail.com", role = c("aut")) )
Description: Fit an array of decision-making tasks with computational models in a hierarchical Bayesian framework. Can perform hierarchical Bayesian analysis of various computational models with a single line of coding.
Depends: rstan, loo, R (>= 3.0.2)
Imports: grid, parallel, mail, modeest, ggplot2
URL: http://u.osu.edu/ccsl/codedata/hbayesdm/
License: GPL-3
LazyData: true
Author: Woo-Young Ahn [aut, cre], Nate Haines [aut], Lei Zhang [aut]
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-03-25 16:20:37 UTC; wahn
Maintainer: Woo-Young Ahn <ahn.280@osu.edu>
Repository: CRAN
Date/Publication: 2016-03-25 20:00:59

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Package GetoptLong updated to version 0.1.2 with previous version 0.1.1 dated 2015-12-04

Title: Parsing Command-Line Arguments and Variable Interpolation
Description: This is yet another command-line argument parser which wraps the powerful Perl module Getopt::Long and with some adaptation for easier use in R. It also provides a simple way for variable interpolation in R.
Author: Zuguang Gu
Maintainer: Zuguang Gu <z.gu@dkfz.de>

Diff between GetoptLong versions 0.1.1 dated 2015-12-04 and 0.1.2 dated 2016-03-25

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Permanent link

Package geomorph updated to version 3.0.1 with previous version 3.0.0 dated 2016-01-21

Title: Geometric Morphometric Analyses of 2D/3D Landmark Data
Description: Read, manipulate, and digitize landmark data, generate shape variables via Procrustes analysis for points, curves and surfaces, perform shape analyses, and provide graphical depictions of shapes and patterns of shape variation.
Author: Dean Adams, Michael Collyer, Emma Sherratt
Maintainer: Dean Adams <dcadams@iastate.edu>

Diff between geomorph versions 3.0.0 dated 2016-01-21 and 3.0.1 dated 2016-03-25

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New package CUFF with initial version 1.0
Note: -*- Encoding: utf-8 -*-
Package: CUFF
Type: Package
Title: Charles's Utility Function using Formula
Version: 1.0
Date: 2016-03-13
Author: Charles-Édouard Giguère
Maintainer: Charles-Édouard Giguère <ce.giguere@gmail.com>
Depends: R (>= 3.2.2)
Imports: openxlsx, xtable
Description: Utility functions that provides wrapper to descriptive base functions like correlation, mean and table . It makes use of the formula interface to pass variables to functions. It also provides operators like to concatenate (%+%), to repeat and manage character vector for nice display.
License: GPL (>= 2)
Encoding: UTF-8
LazyLoad: TRUE
LazyData: YES
URL: https://github.com/giguerch/CUFF
NeedsCompilation: no
Packaged: 2016-03-25 01:21:33 UTC; Charles-Edouard
Repository: CRAN
Date/Publication: 2016-03-25 20:00:46

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Package CALF updated to version 0.1.2 with previous version 0.1.1 dated 2016-01-04

Title: Coarse Approximation Linear Function
Description: Contains a greedy algorithm for coarse approximation linear function.
Author: Stephanie Lane [aut, cre], Clark Jeffries [aut], Diana Perkins [aut]
Maintainer: Stephanie Lane <slane@unc.edu>

Diff between CALF versions 0.1.1 dated 2016-01-04 and 0.1.2 dated 2016-03-25

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Permanent link

Package BiodiversityR updated to version 2.7-0 with previous version 2.6-1 dated 2016-01-24

Title: Package for Community Ecology and Suitability Analysis
Description: Graphical User Interface (via the R-Commander) and utility functions (often based on the vegan package) for statistical analysis of biodiversity and ecological communities, including species accumulation curves, diversity indices, Renyi profiles, GLMs for analysis of species abundance and presence-absence, distance matrices, Mantel tests, and cluster, constrained and unconstrained ordination analysis. A book on biodiversity and community ecology analysis is available for free download from the website. In 2012, methods for (ensemble) suitability modelling and mapping were expanded in the package.
Author: Roeland Kindt
Maintainer: Roeland Kindt <R.KINDT@CGIAR.ORG>

Diff between BiodiversityR versions 2.6-1 dated 2016-01-24 and 2.7-0 dated 2016-03-25

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Package archivist.github updated to version 0.1.1 with previous version 0.1 dated 2016-02-17

Title: Tools for Archiving, Managing and Sharing R Objects via GitHub
Description: The extension of the 'archivist' package integrating the archivist with GitHub via GitHub API, 'git2r' packages and 'httr' package.
Author: Marcin Kosinski [aut, cre], Przemyslaw Biecek [aut]
Maintainer: Marcin Kosinski <m.p.kosinski@gmail.com>

Diff between archivist.github versions 0.1 dated 2016-02-17 and 0.1.1 dated 2016-03-25

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New package accelmissing with initial version 1.0
Package: accelmissing
Type: Package
Title: Missing Value Imputation for Accelerometer Data
Version: 1.0
Date: 2016-03-25
Author: Jung Ae Lee <jungaeleeb@gmail.com>
Maintainer: Jung Ae Lee <jungaeleeb@gmail.com>
Description: Imputation for the missing count values in accelerometer data. The methodology includes both parametric and semi-parametric multiple imputations under the zero-inflated Poisson lognormal model. This package also provides multiple functions to pre-process the accelerometer data previous to the missing data imputation. These includes detecting wearing and non-wearing time, selecting valid days and subjects, and creating plots.
License: GPL (>= 2)
Depends: R (>= 2.10), mice, pscl
Packaged: 2016-03-25 15:23:54 UTC; leeju
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2016-03-25 20:00:49

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Package TMB updated to version 1.7.0 with previous version 1.6.6 dated 2016-01-30

Title: Template Model Builder: A General Random Effect Tool Inspired by ADMB
Description: With this tool, a user should be able to quickly implement complex random effect models through simple C++ templates. The package combines CppAD (C++ automatic differentiation), Eigen (templated matrix-vector library) and CHOLMOD (sparse matrix routines available from R) to obtain an efficient implementation of the applied Laplace approximation with exact derivatives. Key features are: Automatic sparseness detection, parallelism through BLAS and parallel user templates.
Author: Kasper Kristensen [aut, cre, cph], Brad Bell [cph], Hans Skaug [ctb], Arni Magnusson [ctb], Casper Berg [ctb], Anders Nielsen [ctb], Martin Maechler [ctb], Theo Michelot [ctb], Mollie Brooks [ctb], Cole Monnahan [ctb]
Maintainer: Kasper Kristensen <kaskr@dtu.dk>

Diff between TMB versions 1.6.6 dated 2016-01-30 and 1.7.0 dated 2016-03-25

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New package PSF with initial version 0.1
Package: PSF
Type: Package
Title: Algorithm for Pattern Sequence Based Forecasting
Version: 0.1
Date: 2016-03-16
Author: Neeraj Bokde
Maintainer: Neeraj Bokde <neerajdhanraj@gmail.com>
Description: Various functions in Pattern Sequence Based Forecasting (PSF) takes time series data as input and assist to forecast the future value with the help of Algorithm PSF. This algorithm forecasts the behavior of time series based on similarity of pattern sequences. Initially, clustering is done with the labeling of samples from database. The labels associated with samples are then used for forecasting the future behaviour of time series data. The further technical details and references regarding PSF are discussed in Vignette.
License: GPL (>= 2)
Imports: cluster
LazyData: TRUE
RoxygenNote: 5.0.1
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2016-03-23 03:31:03 UTC; NEERAJ
Repository: CRAN
Date/Publication: 2016-03-25 14:48:06

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New package PAC with initial version 1.0.0
Package: PAC
Type: Package
Title: Partition-Assisted Clustering
Version: 1.0.0
Date: 2016-02-15
Author: Dangna Li, Henry Li
Maintainer: Dangna Li <ldangna@gmail.com>
Description: Implements Partition-Assisted Clustering, which utilizes a collection of partition based nonparametric density estimation techniques to improve the robustness and accuracy of downstream clustering. The package also provides functions for effectively visualizing the clustering results. It is particularly useful for finding and visualizing subpopulations in single-cell data analysis.
License: GPL-3
Imports: Rcpp (>= 0.12.2),NMF,RJSONIO,data.table,dplyr
Suggests: knitr
VignetteBuilder: knitr
LinkingTo: Rcpp
RoxygenNote: 5.0.1
NeedsCompilation: yes
SystemRequirements: C++11
Packaged: 2016-03-22 15:24:21 UTC; dangna
Repository: CRAN
Date/Publication: 2016-03-25 14:25:29

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Package JMbayes updated to version 0.7-9 with previous version 0.7-8 dated 2015-11-09

Title: Joint Modeling of Longitudinal and Time-to-Event Data under a Bayesian Approach
Description: Shared parameter models for the joint modeling of longitudinal and time-to-event data using MCMC.
Author: Dimitris Rizopoulos <d.rizopoulos@erasmusmc.nl>
Maintainer: Dimitris Rizopoulos <d.rizopoulos@erasmusmc.nl>

Diff between JMbayes versions 0.7-8 dated 2015-11-09 and 0.7-9 dated 2016-03-25

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Package JM updated to version 1.4-4 with previous version 1.4-2 dated 2015-11-09

Title: Joint Modeling of Longitudinal and Survival Data
Description: Shared parameter models for the joint modeling of longitudinal and time-to-event data.
Author: Dimitris Rizopoulos <d.rizopoulos@erasmusmc.nl>
Maintainer: Dimitris Rizopoulos <d.rizopoulos@erasmusmc.nl>

Diff between JM versions 1.4-2 dated 2015-11-09 and 1.4-4 dated 2016-03-25

 DESCRIPTION          |    8 ++++----
 MD5                  |   14 +++++++-------
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Package effects updated to version 3.1-0 with previous version 3.0-7 dated 2016-02-20

Title: Effect Displays for Linear, Generalized Linear, and Other Models
Description: Graphical and tabular effect displays, e.g., of interactions, for various statistical models with linear predictors.
Author: John Fox [aut, cre], Sanford Weisberg [aut], Michael Friendly [aut], Jangman Hong [aut], Robert Andersen [ctb], David Firth [ctb], Steve Taylor [ctb]
Maintainer: John Fox <jfox@mcmaster.ca>

Diff between effects versions 3.0-7 dated 2016-02-20 and 3.1-0 dated 2016-03-25

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Package choroplethr updated to version 3.5.1 with previous version 3.5.0 dated 2016-02-28

Title: Simplify the Creation of Choropleth Maps in R
Description: Choropleths are thematic maps where geographic regions, such as states, are colored according to some metric, such as the number of people who live in that state. This package simplifies this process by 1. Providing ready-made functions for creating choropleths of common maps. 2. Providing data and API connections to interesting data sources for making choropleths. 3. Providing a framework for creating choropleths from arbitrary shapefiles. 4. Overlaying those maps over reference maps from Google Maps. Please see the vignettes for more details.
Author: Ari Lamstein <arilamstein@gmail.com>[cre, aut], Brian P Johnson <brian@pjohnson.info> [ctb, frontend animation code]
Maintainer: Ari Lamstein <arilamstein@gmail.com>

Diff between choroplethr versions 3.5.0 dated 2016-02-28 and 3.5.1 dated 2016-03-25

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Package censorcopula updated to version 2.0 with previous version 1.0 dated 2016-03-13

Title: Estimate Parameter of Bivariate Copula
Description: Implement an interval censor method to break ties when using data with ties to fitting a bivariate copula.
Author: Yan Li, Yang Li, Yichen Qin, and Jun yan
Maintainer: Yan Li <YanLi_stats@hotmail.com>

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Package car updated to version 2.1-2 with previous version 2.1-1 dated 2015-12-14

Title: Companion to Applied Regression
Description: Functions and Datasets to Accompany J. Fox and S. Weisberg, An R Companion to Applied Regression, Second Edition, Sage, 2011.
Author: John Fox [aut, cre], Sanford Weisberg [aut], Daniel Adler [ctb], Douglas Bates [ctb], Gabriel Baud-Bovy [ctb], Steve Ellison [ctb], David Firth [ctb], Michael Friendly [ctb], Gregor Gorjanc [ctb], Spencer Graves [ctb], Richard Heiberger [ctb], Rafael Laboissiere [ctb], Georges Monette [ctb], Duncan Murdoch [ctb], Henric Nilsson [ctb], Derek Ogle [ctb], Brian Ripley [ctb], William Venables [ctb], David Winsemius [ctb], Achim Zeileis [ctb], R-Core [ctb]
Maintainer: John Fox <jfox@mcmaster.ca>

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Package tsna updated to version 0.2.0 with previous version 0.1.3 dated 2015-10-01

Title: Tools for Temporal Social Network Analysis
Description: Temporal SNA tools for continuous- and discrete-time longitudinal networks having vertex, edge, and attribute dynamics stored in the 'networkDynamic' format. This work was supported by grant R01HD68395 from the National Institute of Health.
Author: Skye Bender-deMoll [aut, cre], Martina Morris [aut], James Moody [ctb]
Maintainer: Skye Bender-deMoll <skyebend@uw.edu>

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New package nima with initial version 0.3.0
Package: nima
Title: Nima Hejazi's Miscellaneous R Code
Version: 0.3.0
Authors@R: person("Nima", "Hejazi", email = "nhejazi@berkeley.edu", role = c("aut", "cre"))
Description: Miscellaneous R functions developed over the course of statistical research. These include utilities that supplement the existing idiosyncrasies of R; extend plotting functionality and aesthetics; provide alternative presentations of matrix decompositions; extend types of random variables supported for simulation; extend access to command line tools and system information, making work on remote systems easier.
Depends: R (>= 3.2.3)
Imports: plyr, utils, stats, survival, gridExtra, assertthat, ggplot2, grid
Suggests: devtools, roxygen2, testthat
License: MIT + file LICENSE
URL: https://github.com/nhejazi/nima
LazyData: true
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-03-22 23:47:33 UTC; nimahejazi
Author: Nima Hejazi [aut, cre]
Maintainer: Nima Hejazi <nhejazi@berkeley.edu>
Repository: CRAN
Date/Publication: 2016-03-25 09:14:05

More information about nima at CRAN
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Package ergm updated to version 3.6.0 with previous version 3.5.1 dated 2015-10-24

Title: Fit, Simulate and Diagnose Exponential-Family Models for Networks
Description: An integrated set of tools to analyze and simulate networks based on exponential-family random graph models (ERGM). "ergm" is a part of the "statnet" suite of packages for network analysis.
Author: Mark S. Handcock [aut], David R. Hunter [aut], Carter T. Butts [aut], Steven M. Goodreau [aut], Pavel N. Krivitsky [aut, cre], Martina Morris [aut], Li Wang [ctb], Kirk Li [ctb], Skye Bender-deMoll [ctb]
Maintainer: Pavel N. Krivitsky <pavel@uow.edu.au>

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New package DataClean with initial version 1.0
Package: DataClean
Type: Package
Title: Data Cleaning
Version: 1.0
Date: 2016-03-20
Author: Xiaorui(Jeremy) Zhu
Maintainer: Xiaorui(Jeremy) Zhu <zhuxiaorui1989@gmail.com>
Depends: R (>= 3.1.0)
Imports: xlsx, XML
Description: Includes functions that researchers or practitioners may use to clean raw data, transferring html, xlsx, txt data file into other formats. And it also can be used to manipulate text variables, extract numeric variables from text variables and other variable cleaning processes. It is originated from a author's project which focuses on creative performance in online education environment. The resulting paper of that study will be published soon.
License: GPL-3
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-03-22 20:01:18 UTC; JeremyZhu
Repository: CRAN
Date/Publication: 2016-03-25 09:10:37

More information about DataClean at CRAN
Permanent link

Package BANOVA updated to version 0.4 with previous version 0.2 dated 2014-06-29

Title: Hierarchical Bayesian ANOVA Models
Description: It covers several Bayesian Analysis of Variance (BANOVA) models used in analysis of experimental designs in which both within- and between- subjects factors are manipulated. They can be applied to data that are common in the behavioral sciences and related fields. The package includes: Hierarchical Bayes ANOVA models with normal response, t response, Binomial(Bernoulli) response, Poisson response, ordered multinomial response and multinomial response variables. All models accommodate unobserved heterogeneity by including a normal distribution of the parameters across individuals. Outputs of the package include tables of sums of squares, effect sizes and p-values, and tables of means, which are easily interpretable for behavioral researchers. BANOVA uses JAGS as the computational platform.
Author: Chen Dong, Michel Wedel
Maintainer: Chen Dong <cdong@math.umd.edu>

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Thu, 24 Mar 2016

New package xyloplot with initial version 1.0
Package: xyloplot
Type: Package
Title: A Method for Creating Xylophone-Like Frequency Density Plots
Version: 1.0
Date: 2016-03-23
Author: Daniel Greene
Maintainer: Daniel Greene <dg333@cam.ac.uk>
Description: A method for creating vertical histograms sharing a y-axis using base graphics.
License: GPL (>= 2)
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-03-24 03:50:04 UTC; dg333
Repository: CRAN
Date/Publication: 2016-03-25 00:53:25

More information about xyloplot at CRAN
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Package TripleR updated to version 1.5.0 with previous version 1.4.1 dated 2015-04-30

Title: Social Relation Model (SRM) Analyses for Single or Multiple Groups
Description: Social Relation Model (SRM) analyses for single or multiple round-robin groups are performed. These analyses are either based on one manifest variable, one latent construct measured by two manifest variables, two manifest variables and their bivariate relations, or two latent constructs each measured by two manifest variables. Within-group t-tests for variance components and covariances are provided for single groups. For multiple groups two types of significance tests are provided: between-groups t-tests (as in SOREMO) and enhanced standard errors based on Lashley and Bond (1997). Handling for missing values is provided.
Author: F. D. Schönbrodt, M. D. Back, S. C. Schmukle
Maintainer: Felix Schönbrodt <felix.schoenbrodt@psy.lmu.de>

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Package swirl updated to version 2.4.0 with previous version 2.2.21 dated 2015-01-04

Title: Learn R, in R
Description: Use the R console as an interactive learning environment. Users receive immediate feedback as they are guided through self-paced lessons in data science and R programming.
Author: Sean Kross [aut, cre], Nick Carchedi [aut], Bill Bauer [aut], Gina Grdina [aut], Filip Schouwenaars [ctb], Wush Wu [ctb]
Maintainer: Sean Kross <sean@seankross.com>

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Package stubthat updated to version 1.0.0 with previous version 0.1.0 dated 2015-12-13

Title: Stubbing Framework for R
Description: Create stubs of functions for use while testing.
Author: Sainath Adapa [aut, cre], Nitin Madasu [aut]
Maintainer: Sainath Adapa <adapasainath@gmail.com>

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Package sommer updated to version 1.4 with previous version 1.3 dated 2016-03-09

Title: Solving Mixed Model Equations in R
Description: Mixed model equation solver allowing the specification of variance covariance structures of random effects and residual structures. ML/REML estimates are obtained using the Average Information and/or Expectation-Maximization algorithms. Designed for genomic prediction and genome wide association studies (GWAS) to include additive, dominant and epistatic relationship structures or other covariance structures in R.
Author: Giovanny Covarrubias-Pazaran
Maintainer: Giovanny Covarrubias-Pazaran <covarrubiasp@wisc.edu>

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Package SixSigma updated to version 0.9-3 with previous version 0.9-2 dated 2016-02-05

Title: Six Sigma Tools for Quality Control and Improvement
Description: Functions and utilities to perform Statistical Analyses in the Six Sigma way. Through the DMAIC cycle (Define, Measure, Analyze, Improve, Control), you can manage several Quality Management studies: Gage R&R, Capability Analysis, Control Charts, Loss Function Analysis, etc. Data frames used in the books "Six Sigma with R" (Springer, 2012) and "Quality Control with R" (Springer, 2015) are also included in the package.
Author: Emilio L. Cano, Javier M. Moguerza, Mariano Prieto and Andrés Redchuk
Maintainer: Emilio L. Cano <emilio.lopez@urjc.es>

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Package SeqFeatR updated to version 0.2.2 with previous version 0.2.0 dated 2015-08-20

Title: A Tool to Associate FASTA Sequences and Features
Description: Provides user friendly methods for the identification of sequence patterns that are statistically significantly associated with a property of the sequence. For instance, SeqFeatR allows to identify viral immune escape mutations for hosts of given HLA types. The underlying statistical method is Fisher's exact test, with appropriate corrections for multiple testing, or Bayes. Patterns may be point mutations or n-tuple of mutations. SeqFeatR offers several ways to visualize the results of the statistical analyses.
Author: Bettina Budeus
Maintainer: Bettina Budeus <bettina.budeus@stud.uni-due.de>

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Package rAmCharts updated to version 2.0.0 with previous version 1.1.2 dated 2015-10-19

Title: JavaScript Charts API Tool
Description: API for using 'AmCharts' Library. Based on the 'htmlwidgets' package, it provides a global architecture to generate 'JavaScript' source code for charts. Most of classes in the library have their equivalent in R with S4 classes; for those classes, not all properties have been referenced but can easily be added in the constructors. Complex properties (e.g. 'JavaScript' object) can be passed as named list. See examples at <http:// datastorm-open.github.io/introduction_ramcharts/>. and <http://www.amcharts.com/> for more information about the library. The package includes the free version of 'AmCharts' Library. Its only limitation is that a small link to the web site will be displayed in your charts. If you enjoy this library, do not hesitate to refer to this page <http://www.amcharts.com/online-store/> to purchase a licence, and thus support its creators and get a period of Priority Support. See also <http://www.amcharts.com/about/> for more information about 'AmCharts' company.
Author: Jeffery Petit [aut, cre], Antanas Marcelionis [aut, cph] ('AmCharts' library in th directory htmlwidgets/lib/amcharts, refer to http://www.amcharts.com/), Benoit Thieurmel [aut, ctb], Elena Salette [aut, ctb], Titouan Robert [aut, ctb]
Maintainer: Jeffery Petit <jeffery.petit@datastorm.fr>

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Package qicharts updated to version 0.5.1 with previous version 0.5.0 dated 2016-02-28

Title: Quality Improvement Charts
Description: Functions for making run charts and basic Shewhart control charts for measure and count data. The main function, qic(), creates run and control charts and has a simple interface with a rich set of options to control data analysis and plotting, including options for automatic data aggregation by subgroups, easy analysis of before-and-after data, exclusion of one or more data points from analysis, and splitting charts into sequential time periods. Missing values and empty subgroups are handled gracefully.
Author: Jacob Anhoej [aut, cre], Timo Roeder [ctb]
Maintainer: Jacob Anhoej <jacob@anhoej.net>

Diff between qicharts versions 0.5.0 dated 2016-02-28 and 0.5.1 dated 2016-03-24

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Package mkin updated to version 0.9.42 with previous version 0.9-41 dated 2015-11-09

Title: Routines for Fitting Kinetic Models with One or More State Variables to Chemical Degradation Data
Description: Calculation routines based on the FOCUS Kinetics Report (2006). Includes a function for conveniently defining differential equation models, model solution based on eigenvalues if possible or using numerical solvers and a choice of the optimisation methods made available by the 'FME' package. If a C compiler (on windows: 'Rtools') is installed, differential equation models are solved using compiled C functions. Please note that no warranty is implied for correctness of results or fitness for a particular purpose.
Author: Johannes Ranke [aut, cre, cph], Katrin Lindenberger [ctb], René Lehmann [ctb], Eurofins Regulatory AG [cph]
Maintainer: Johannes Ranke <jranke@uni-bremen.de>

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Package MultivariateRandomForest updated to version 1.1 with previous version 1.0 dated 2016-03-13

Title: Multivariate Random Forest for Linearly Related Output Features
Description: In Random Forest, prediction has been done for single output feature, while linear relation between the output features has not been considered in other packages. In this package, using linear relation of the output features, a multivariate random forest prediction has been done, which can predict all the output features with one Random forest. If there is high correlation among the features, this MRF prediction gives better result than the individual RFs.
Author: Raziur Rahman <razeeebuet@gmail.com>
Maintainer: Raziur Rahman <razeeebuet@gmail.com>

Diff between MultivariateRandomForest versions 1.0 dated 2016-03-13 and 1.1 dated 2016-03-24

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Package hdnom updated to version 3.6 with previous version 3.0 dated 2016-01-04

Title: Nomograms for High-Dimensional Cox Models
Description: Build nomograms for high-dimensional Cox models, with support for reproducible model validation, calibration, and comparison.
Author: Miaozhu Li <miaozhu.li@duke.edu>, Nan Xiao <nanx@uchicago.edu>
Maintainer: Nan Xiao <nanx@uchicago.edu>

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New package ggnetwork with initial version 0.5.1
Package: ggnetwork
Type: Package
Title: Geometries to Plot Networks with 'ggplot2'
Version: 0.5.1
Date: 2016-03-24
Author: Francois Briatte
Maintainer: Francois Briatte <f.briatte@gmail.com>
Description: Geometries to plot network objects with 'ggplot2'.
License: GPL-3
LazyData: TRUE
VignetteBuilder: knitr
NeedsCompilation: no
Depends: ggplot2 (>= 2.0.0), R (>= 3.1),
Imports: ggrepel (>= 0.5), network, sna
Suggests: intergraph, knitr, testthat
RoxygenNote: 5.0.1
Packaged: 2016-03-24 23:51:34 UTC; fr
Repository: CRAN
Date/Publication: 2016-03-25 01:15:36

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New package futureheatwaves with initial version 1.0.0
Package: futureheatwaves
Type: Package
Title: Find, Characterize, and Explore Heat Waves in Climate Projections
Version: 1.0.0
Date: 2016-03-23
Authors@R: c( person("Brooke", "Anderson", , "brooke.anderson@colostate.edu", c("aut", "cre")), person("Colin", "Eason", , "aimesce@gmail.com", c("aut")), person("Elizabeth", "Barnes", , "eabarnes@atmos.colostate.edu", c("aut")) )
Description: Inputs a directory of climate projection files and, for each, identifies and characterizes heat waves for specified study locations. The definition used to identify heat waves can be customized. Heat wave characterizations include several metrics of heat wave length, intensity, and timing in the year. The heat waves that are identified can be explored using a function to apply user-created functions across all generated heat wave files.This work was supported in part by grants from the National Institute of Environmental Health Sciences (R00ES022631), the National Science Foundation (1331399), and the Colorado State University Vice President for Research.
License: GPL-2
LazyData: TRUE
Depends: R (>= 2.10)
Imports: dplyr (>= 0.4.3), ggplot2 (>= 2.0.0), ggthemes (>= 3.0.0), Rcpp (>= 0.12.3)
Suggests: gridExtra (>= 2.0.0), knitr (>= 1.10.5), mapproj (>= 1.2.4), maps (>= 3.0.2), rmarkdown (>= 0.7.0), testthat (>= 0.11.0)
VignetteBuilder: knitr
RoxygenNote: 5.0.1
LinkingTo: Rcpp
NeedsCompilation: yes
Packaged: 2016-03-24 05:45:34 UTC; brookeanderson
Author: Brooke Anderson [aut, cre], Colin Eason [aut], Elizabeth Barnes [aut]
Maintainer: Brooke Anderson <brooke.anderson@colostate.edu>
Repository: CRAN
Date/Publication: 2016-03-25 00:53:23

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Package FSA updated to version 0.8.6 with previous version 0.8.5 dated 2016-02-14

Title: Functions for Simple Fisheries Stock Assessment Methods
Description: Functions to perform a variety of simple fish stock assessment methods. Detailed vignettes are available on the fishR website <http://derekogle.com/fishR/>.
Author: Derek Ogle [aut, cre]
Maintainer: Derek Ogle <derek@derekogle.com>

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Package ei updated to version 1.3-2 with previous version 1.3 dated 2016-01-20

Title: Ecological Inference
Description: Software accompanying Gary King's book: A Solution to the Ecological Inference Problem. (1997). Princeton University Press. ISBN 978-0691012407.
Author: Gary King <king@harvard.edu>, Molly Roberts <molly.e.roberts@gmail.com>
Maintainer: James Honaker <zelig-zee@iq.harvard.edu>

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Package dynRB updated to version 0.7 with previous version 0.6 dated 2016-01-07

Title: Dynamic Range Boxes
Description: Improves the concept of multivariate range boxes, which is highly susceptible for outliers and does not consider the distribution of the data. The package uses dynamic range boxes to overcome these problems.
Author: Manuela Schreyer <manuelalarissa.schreyer@sbg.ac.at>, Wolfgang Trutschnig <Wolfgang.Trutschnig@sbg.ac.at>, Robert R. Junker <Robert.Junker@sbg.ac.at>, Jonas Kuppler <Jonas.Kuppler@uni-duesseldorf.de>, Arne Bathke <Arne.Bathke@sbg.ac.at>
Maintainer: Manuela Schreyer <manuelalarissa.schreyer@sbg.ac.at>

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New package datapack with initial version 1.0.0
Package: datapack
Title: A Flexible Container to Transport and Manipulate Data and Associated Resources
Version: 1.0.0
Authors@R: c( person("Matthew B.", "Jones", role = c("aut", "cre"), email = "jones@nceas.ucsb.edu"), person("Peter", "Slaughter", role = "aut", email = "slaughter@nceas.ucsb.edu"), person("Regents of the University of California", role = c("cph")))
Description: Provides a flexible container to transport and manipulate complex sets of data. These data may consist of multiple data files and associated meta data and ancillary files. Individual data objects have associated system level meta data, and data files are linked together using the OAI-ORE standard resource map which describes the relationships between the files. The OAI-ORE standard is described at <https://www.openarchives.org/ore>. Data packages can be serialized and transported as structured files that have been created following the BagIt specification. The BagIt specification is described at <https://tools.ietf.org/html/draft-kunze-bagit-08>.
Date: 2016-03-24
Depends: R (>= 3.1.1)
Imports: digest, methods, redland, XML, hash, uuid
Suggests: testthat, knitr
License: Apache License (== 2.0)
BugReports: https://github.com/ropensci/datapack/issues
LazyData: true
VignetteBuilder: knitr
Collate: 'SystemMetadata.R' 'dmsg.R' 'DataObject.R' 'DataPackage.R' 'ResourceMap.R' 'datapack-package.r'
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-03-24 23:49:43 UTC; jones
Author: Matthew B. Jones [aut, cre], Peter Slaughter [aut], Regents of the University of California [cph]
Maintainer: Matthew B. Jones <jones@nceas.ucsb.edu>
Repository: CRAN
Date/Publication: 2016-03-25 01:15:38

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Package bartMachine updated to version 1.2.2 with previous version 1.2.1 dated 2016-02-27

Title: Bayesian Additive Regression Trees
Description: An advanced implementation of Bayesian Additive Regression Trees with expanded features for data analysis and visualization.
Author: Adam Kapelner and Justin Bleich (R package)
Maintainer: Adam Kapelner <kapelner@qc.cuny.edu>

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Package aprof updated to version 0.3.2 with previous version 0.3.1 dated 2015-10-09

Title: Amdahl's Profiler, Directed Optimization Made Easy
Description: Assists the evaluation of whether and where to focus code optimization, using Amdahl's law and visual aids based on line profiling. Amdahl's profiler organises profiling output files (including memory profiling) in a visually appealing way. It is meant to help to balance development vs. execution time by helping to identify the most promising sections of code to optimize and projecting potential gains. The package is an addition to R's standard profiling tools and is not a wrapper for them.
Author: Marco D. Visser
Maintainer: Marco D. Visser <marco.d.visser@gmail.com>

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Package wq updated to version 0.4.7 with previous version 0.4.6 dated 2016-03-20

Title: Exploring Water Quality Monitoring Data
Description: Functions to assist in the processing and exploration of data from environmental monitoring programs. The package name stands for "water quality" and reflects the original focus on time series data for physical and chemical properties of water, as well as the biota. Intended for programs that sample approximately monthly, quarterly or annually at discrete stations, a feature of many legacy data sets. Most of the functions should be useful for analysis of similar-frequency time series regardless of the subject matter.
Author: Alan D. Jassby and James E. Cloern
Maintainer: Alan Jassby <wq@fastmail.net>

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Package wkb updated to version 0.3-0 with previous version 0.2-0 dated 2015-09-28

Title: Convert Between Spatial Objects and Well-Known Binary Geometry
Description: Utility functions to convert between the 'Spatial' classes specified by the package 'sp', and the well-known binary '(WKB)' representation for geometry specified by the Open Geospatial Consortium. Supports 'Spatial' objects of class 'SpatialPoints', 'SpatialPointsDataFrame', 'SpatialLines', 'SpatialLinesDataFrame', 'SpatialPolygons', and 'SpatialPolygonsDataFrame'. Supports 'WKB' geometry types 'Point', 'LineString', 'Polygon', 'MultiPoint', 'MultiLineString', and 'MultiPolygon'. Includes extensions to enable creation of maps with 'TIBCO Spotfire'.
Author: TIBCO Software Inc.
Maintainer: Ian Cook <ianmcook@gmail.com>

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Package timetools updated to version 1.7.4 with previous version 1.7.3 dated 2015-11-19

Title: Seasonal/Sequential (Instants/Durations, Even or not) Time Series
Description: Objects to manipulate sequential and seasonal time series. Sequential time series based on time instants and time durations are handled. Both can be regularly or unevenly spaced (overlapping durations are allowed). Only POSIX* format are used for dates and times. The following classes are provided : 'POSIXcti', 'POSIXctp', 'TimeIntervalDataFrame', 'TimeInstantDataFrame', 'SubtimeDataFrame' ; methods to switch from a class to another and to modify the time support of series (hourly time series to daily time series for instance) are also defined. Tools provided can be used for instance to handle environmental monitoring data (not always produced on a regular time base).
Author: Vladislav Navel
Maintainer: Vladislav Navel <vnavel@yahoo.fr>

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Package stepR updated to version 1.0-4 with previous version 1.0-3 dated 2015-06-18

Title: Fitting Step-Functions
Description: Allows to fit step-functions to univariate serial data where neither the number of jumps nor their positions is known.
Author: Timo Aspelmeier [cre, aut], Thomas Hotz [aut], Hannes Sieling [aut], Pein Florian [ctb]
Maintainer: Timo Aspelmeier <timo.aspelmeier@mathematik.uni-goettingen.de>

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Package sjPlot updated to version 1.9.3 with previous version 1.9.2 dated 2016-03-02

Title: Data Visualization for Statistics in Social Science
Description: Collection of plotting and table output functions for data visualization. Results of various statistical analyses (that are commonly used in social sciences) can be visualized using this package, including simple and cross tabulated frequencies, histograms, box plots, (generalized) linear models, mixed effects models, PCA and correlation matrices, cluster analyses, scatter plots, Likert scales, effects plots of regression models (including interaction terms) and much more.
Author: Daniel Lüdecke <d.luedecke@uke.de>
Maintainer: Daniel Lüdecke <d.luedecke@uke.de>

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Package scatterD3 updated to version 0.6.2 with previous version 0.6.1 dated 2016-02-29

Title: D3 JavaScript Scatterplot from R
Description: Creates 'D3' 'JavaScript' scatterplots from 'R' with interactive features : panning, zooming, tooltips, etc.
Author: Julien Barnier [aut, cre], Kent Russell [aut, ctb], Mike Bostock [aut, cph] (d3.js library, http://d3js.org), Susie Lu [aut, cph] (d3-legend library, http://d3-legend.susielu.com/), Speros Kokenes [aut, cph] (d3-lasso-plugin library, https://github.com/skokenes/D3-Lasso-Plugin)
Maintainer: Julien Barnier <julien.barnier@ens-lyon.fr>

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Package rollply updated to version 0.5.0 with previous version 0.4.2 dated 2015-09-21

Title: Moving-Window Add-on for 'plyr'
Description: Apply a function in a moving window, then combine the results in a data frame.
Author: "Alexandre Genin <alex@lecairn.org> [aut, cre]"
Maintainer: Alexandre Genin <alex@lecairn.org>

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Package rcanvec updated to version 0.1.6 with previous version 0.1.4 dated 2016-01-13

Title: Access and Plot CanVec and CanVec+ Data for Rapid Basemap Creation in Canada
Description: Provides an interface to the National Topographic System (NTS), which is the way in which a number of freely available Canadian datasets are organized. CanVec and CanVec+ datasets, which include all data used to create Canadian topographic maps, are two such datasets that are useful in creating vector-based maps for locations across Canada. This packages searches CanVec data by location, plots it using pretty defaults, and exports it to human- readable shapefiles for use in another GIS.
Author: Dewey Dunnington <dewey@fishandwhistle.net>
Maintainer: Dewey Dunnington <dewey@fishandwhistle.net>

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Package openair updated to version 1.8-0 with previous version 1.7-3 dated 2016-03-01

Title: Tools for the Analysis of Air Pollution Data
Description: Tools to analyse, interpret and understand air pollution data. Data are typically hourly time series and both monitoring data and dispersion model output can be analysed. Many functions can also be applied to other data, including meteorological and traffic data.
Author: David Carslaw [aut, cre], Karl Ropkins [aut]
Maintainer: David Carslaw <david.carslaw@york.ac.uk>

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Package nlWaldTest updated to version 1.1.3 with previous version 1.0.1 dated 2014-09-18

Title: Wald Test of Nonlinear Restrictions and Nonlinear CI
Description: Wald Test for nonlinear restrictions on model parameters and confidence intervals for nonlinear functions of parameters using delta-method. Applicable after ANY model, provided parameters estimates and their covariance matrix are available.
Author: Oleh Komashko
Maintainer: Oleh Komashko <oleg_komashko@ukr.net>

Diff between nlWaldTest versions 1.0.1 dated 2014-09-18 and 1.1.3 dated 2016-03-24

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Package Newdistns updated to version 2.1 with previous version 2.0 dated 2015-03-04

Title: Computes Pdf, Cdf, Quantile and Random Numbers, Measures of Inference for 19 General Families of Distributions
Description: Computes the probability density function, cumulative distribution function, quantile function, random numbers and measures of inference for the following general families of distributions (each family defined in terms of an arbitrary cdf G): Marshall Olkin G distributions, exponentiated G distributions, beta G distributions, gamma G distributions, Kumaraswamy G distributions, generalized beta G distributions, beta extended G distributions, gamma G distributions, gamma uniform G distributions, beta exponential G distributions, Weibull G distributions, log gamma G I distributions, log gamma G II distributions, exponentiated generalized G distributions, exponentiated Kumaraswamy G distributions, geometric exponential Poisson G distributions, truncated-exponential skew-symmetric G distributions, modified beta G distributions, and exponentiated exponential Poisson G distributions.
Author: Saralees Nadarajah, Ricardo Rocha
Maintainer: Saralees Nadarajah <Saralees.Nadarajah@manchester.ac.uk>

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Package mcga updated to version 3.0 with previous version 2.0.9 dated 2014-03-25

Title: Machine Coded Genetic Algorithms for Real-Valued Optimization Problems
Description: Machine coded genetic algorithm (MCGA) is a fast tool for real-valued optimization problems. It uses the byte representation of variables rather than real-values. It performs the classical crossover operations (uniform) on these byte representations. Mutation operator is also similar to classical mutation operator, which is to say, it changes a randomly selected byte value of a chromosome by +1 or -1 with probability 1/2. In MCGAs there is no need for encoding-decoding process and the classical operators are directly applicable on real-values. It is fast and can handle a wide range of a search space with high precision. Using a 256-unary alphabet is the main disadvantage of this algorithm but a moderate size population is convenient for many problems. Package also includes multi_mcga function for multi objective optimization problems. This function sorts the chromosomes using their ranks calculated from the non-dominated sorting algorithm.
Author: Mehmet Hakan Satman
Maintainer: Mehmet Hakan Satman <mhsatman@istanbul.edu.tr>

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Package kza updated to version 4.0.0 with previous version 3.2.0 dated 2016-01-29

Title: Kolmogorov-Zurbenko Adaptive Filters
Description: Time Series Analysis including break detection, spectral analysis, KZ Fourier Transforms.
Author: Brian Close <brian.close@gmail.com> and Igor Zurbenko <IZurbenko@albany.edu>
Maintainer: Brian Close <brian.close@gmail.com>

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Package interplot updated to version 0.1.2.1 with previous version 0.1.2.0 dated 2016-03-17

Title: Plot the Effects of Variables in Interaction Terms
Description: Plots the conditional coefficients ("marginal effects") of variables included in multiplicative interaction terms.
Author: Frederick Solt <frederick-solt@uiowa.edu>, Yue Hu <yue-hu-1@uiowa.edu>
Maintainer: Yue Hu <yue-hu-1@uiowa.edu>

Diff between interplot versions 0.1.2.0 dated 2016-03-17 and 0.1.2.1 dated 2016-03-24

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Package flexsurv updated to version 0.7.1 with previous version 0.7 dated 2015-11-13

Title: Flexible Parametric Survival and Multi-State Models
Description: Flexible parametric models for time-to-event data, including the Royston-Parmar spline model, generalized gamma and generalized F distributions. Any user-defined parametric distribution can be fitted, given at least an R function defining the probability density or hazard. There are also tools for fitting and predicting from fully parametric multi-state models.
Author: Christopher Jackson <chris.jackson@mrc-bsu.cam.ac.uk>
Maintainer: Christopher Jackson <chris.jackson@mrc-bsu.cam.ac.uk>

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Package explor updated to version 0.2.1 with previous version 0.2 dated 2016-03-03

Title: Interactive Interfaces for Results Exploration
Description: Shiny interfaces and graphical functions for multivariate analysis results exploration.
Author: Julien Barnier [aut, cre]
Maintainer: Julien Barnier <julien.barnier@ens-lyon.fr>

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New package emuR with initial version 0.1.6
Package: emuR
Version: 0.1.6
Title: Main Package of the EMU Speech Database Management System
Authors@R: c( person("Raphael", "Winkelmann", , "raphael@phonetik.uni-muenchen.de", c("aut", "cre")), person("Klaus", "Jaensch", , "klausj@phonetik.uni-muenchen.de", c("aut", "ctb")), person("Steve", "Cassidy", , "steve.cassidy@mq.edu.au", c("aut", "ctb")), person("Jonathan", "Harrington", , "jmh@phonetik.uni-muenchen.de", c("aut", "ctb")))
Description: Provides the next iteration of the EMU Speech Database Management System (EMU_SDMS) with database management, data extraction, data preparation and data visualization facilities.
License: GPL (>= 2)
Depends: R (>= 3.0)
VignetteBuilder: knitr
Imports: MASS, tools, utils, stats, methods, graphics, grDevices, stringr, uuid, base64enc, wrassp (>= 0.1.3), tidyjson (>= 0.2.1), jsonlite (>= 0.9.13), RSQLite (>= 1.0.0), DBI (>= 0.3.1), httpuv (>= 1.3.2), data.table (>= 1.9.4), dplyr (>= 0.4.3)
Suggests: testthat(>= 0.7.1.99), knitr(>= 1.7), compare(>= 0.2.4), ggplot2(>= 1.0.1), rmarkdown(>= 0.9.2)
LazyLoad: yes
LazyData: yes
ZipData: no
URL: https://github.com/IPS-LMU/emuR
BugReports: https://github.com/IPS-LMU/emuR/issues
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-03-24 11:33:23 UTC; raphaelwinkelmann
Author: Raphael Winkelmann [aut, cre], Klaus Jaensch [aut, ctb], Steve Cassidy [aut, ctb], Jonathan Harrington [aut, ctb]
Maintainer: Raphael Winkelmann <raphael@phonetik.uni-muenchen.de>
Repository: CRAN
Date/Publication: 2016-03-25 00:02:48

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Package DOBAD updated to version 1.0.5 with previous version 1.0.4 dated 2014-12-01

Title: Analysis of Discretely Observed Linear Birth-and-Death(-and-Immigration) Markov Chains
Description: Provides Frequentist (EM) and Bayesian (MCMC) Methods for Inference of Birth-Death-Immigration Markov Chains.
Author: Charles Doss, Vladimir Minin, Marc Suchard
Maintainer: Charles Doss <cdoss@umn.edu>

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New package DNAseqtest with initial version 1.0
Package: DNAseqtest
Type: Package
Title: Generating and Testing DNA Sequences
Version: 1.0
Date: 2016-03-26
Author: Faisal Ababneh, John Robinson, Lars S Jermiin and Hasinur Rahaman Khan
Maintainer: Hasinur Rahaman Khan <hasinurkhan@gmail.com>
Description: Generates DNA sequences based on Markov model techniques for matched sequences. This can be generalized to several sequences. The sequences (taxa) are then arranged in an evolutionary tree (phylogenetic tree) depicting how taxa diverge from their common ancestors. This gives the tests and estimation methods for the parameters of different models. Standard phylogenetic methods assume stationarity, homogeneity and reversibility for the Markov processes, and often impose further restrictions on the parameters.
License: GPL-2
Packaged: 2016-03-24 18:58:52 UTC; hasinur
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2016-03-24 23:32:09

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Package DJL updated to version 2.1 with previous version 2.0 dated 2016-02-06

Title: Distance Measure Based Judgment and Learning
Description: Implements various decision support tools related to the new product development. Subroutines include combinatorial search (all possible subset regression), productivity evaluation using distance measures: DDF (directional distance function), DEA (data envelopment analysis), SBM (slack-based measure), and SF (shortage function), benchmarking, risk analysis, technology adoption model, new product target setting, etc.
Author: Dong-Joon Lim, PhD
Maintainer: Dong-Joon Lim <tgno3.com@gmail.com>

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Package ChemoSpec updated to version 4.3.17 with previous version 4.2.8 dated 2016-01-26

Title: Exploratory Chemometrics for Spectroscopy
Description: A collection of functions for top-down exploratory data analysis of spectral data obtained via nuclear magnetic resonance (NMR), infrared (IR) or Raman spectroscopy. Includes functions for plotting and inspecting spectra, peak alignment, hierarchical cluster analysis (HCA), principal components analysis (PCA) and model-based clustering. Robust methods appropriate for this type of high-dimensional data are available. ChemoSpec is designed with metabolomics data sets in mind, where the samples fall into groups such as treatment and control. Graphical output is formatted consistently for publication quality plots. ChemoSpec is intended to be very user friendly and help you get usable results quickly. A vignette covering typical operations is available.
Author: Bryan A. Hanson DePauw University, Greencastle Indiana USA
Maintainer: Bryan A. Hanson <hanson@depauw.edu>

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Package Blaunet updated to version 2.0.2 with previous version 2.0.1 dated 2015-12-27

Title: Calculate and Analyze Blau Status for Measuring Social Distance
Description: An integrated set of tools to calculate and analyze Blau statuses quantifying social distance between individuals belonging to organizations. Relational (network) data may be incorporated for additional analyses.
Author: Cheng Wang*, Michael Genkin*, George Berry, Liyuan Chen, Matthew Brashears *Both authors contributed equally to this work and their names are randomly ordered
Maintainer: Cheng Wang <cwang3@nd.edu>

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Wed, 23 Mar 2016

Package WrightMap updated to version 1.2.1 with previous version 1.2 dated 2016-03-18

Title: IRT Item-Person Map with 'ConQuest' Integration
Description: A powerful yet simple graphical tool available in the field of psychometrics is the Wright Map (also known as item maps or item-person maps), which presents the location of both respondents and items on the same scale. Wright Maps are commonly used to present the results of dichotomous or polytomous item response models. The 'WrightMap' package provides functions to create these plots from item parameters and person estimates stored as R objects. Although the package can be used in conjunction with any software used to estimate the IRT model (e.g. 'TAM', 'mirt', 'eRm' or 'IRToys' in 'R', or 'Stata', 'Mplus', etc.), 'WrightMap' features special integration with 'ConQuest' to facilitate reading and plotting its output directly.The 'wrightMap' function creates Wright Maps based on person estimates and item parameters produced by an item response analysis. The 'CQmodel' function reads output files created using 'ConQuest' software and creates a set of data frames for easy data manipulation, bundled in a 'CQmodel' object. The 'wrightMap' function can take a 'CQmodel' object as input or it can be used to create Wright Maps directly from data frames of person and item parameters.
Author: David Torres Irribarra & Rebecca Freund
Maintainer: David Torres Irribarra <dti@berkeley.edu>

Diff between WrightMap versions 1.2 dated 2016-03-18 and 1.2.1 dated 2016-03-23

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Package VCA updated to version 1.3 with previous version 1.2.1 dated 2015-11-24

Title: Variance Component Analysis
Description: ANOVA-type estimation (prediction) of random effects in linear mixed models is implemented, following Searle et al. (1991, ANOVA for unbalanced data). For better performance the SWEEP-Operator is implemented for generating the ANOVA Type-1 error sum of squares. Restricted Maximum Likelihood (REML) estimation is also available making use of the 'lme4' package. The primary objective of this package is to perform Variance Component Analyses (VCA). This is a special type of analysis frequently used in verifying the precision performance of diagnostics. The Satterthwaite approximation of the total degrees of freedom and for individual variance components is implemented for models fitted by ANOVA as well as for models fitted by REML. These are used in the Chi-Squared tests against a claimed value, and in the respective confidence intervals. Satterthwaite's approximation of denominator degrees of freedom in t-/F-tests of fixed effects are also available. For models fitted by (REML) the variance-covariance matrix of the variance components is approximated by the method pointed out in Giesbrecht & Burns (1985), which is required for applying the Satterthwaite approximation of the degrees of freedom. For models fitted by ANOVA the method pointed out in Searle et al. (1991) employing quadratic forms generating ANOVA sum of squares is also available. There are several functions for extracting, random effects, fixed effects, variance-covariance matrices of random and fixed effects. Residuals (marginal, conditional) can be extracted as raw, standardized and studentized residuals. Additionally, plotting methods for residuals and random effects and a variability chart are available. The latter is useful for visualizing the variability in sub-classes emerging from the experimental design.
Author: Andre Schuetzenmeister <andre.schuetzenmeister@roche.com>
Maintainer: Andre Schuetzenmeister <andre.schuetzenmeister@roche.com>

Diff between VCA versions 1.2.1 dated 2015-11-24 and 1.3 dated 2016-03-23

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Package toaster updated to version 0.5.1 with previous version 0.4.2 dated 2016-01-22

Title: Big Data in-Database Analytics with Teradata Aster
Description: A consistent set of tools to perform in-database analytics on Teradata Aster Big Data Discovery Platform. toaster (a.k.a 'to Aster') embraces simple 2-step approach: compute in Aster - visualize and analyze in R. Its `compute` functions use combination of SQL and SQL/MR functions running in Aster database - highly scalable parallel and distributed analytical platform. Then `create` functions visualize results with boxplots, scatterplots, histograms, heatmaps, word clouds, maps, or slope graphs. Advanced options such as faceting, coloring, labeling, and others are supported with most functions.
Author: Gregory Kanevsky [aut, cre], Nick Switanek [aut]
Maintainer: Gregory Kanevsky <gregory.kanevsky@teradata.com>

Diff between toaster versions 0.4.2 dated 2016-01-22 and 0.5.1 dated 2016-03-23

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New package rmdshower with initial version 1.0.0
Package: rmdshower
Title: 'R' 'Markdown' Format for 'shower' Presentations
Version: 1.0.0
Authors@R: c( person("Vadim", "Makeev", role = c("aut", "cph"), comment = "shower, https://github.com/shower/shower"), person("Oleg", "Jahson", role = c("aut", "cph"), comment = "shower, https://github.com/shower/shower"), person("Slava", "Oliyanchuk", role = c("aut", "cph"), comment = "shower, https://github.com/shower/shower"), person("Roman", "Komarov", role = c("aut", "cph"), comment = "shower, https://github.com/shower/shower"), person("Artem", "Polikarpov", role = c("aut", "cph"), comment = "shower, https://github.com/shower/shower"), person("Tony", "Ganch", role = c("aut", "cph"), comment = "shower, https://github.com/shower/shower"), person("Denis", "Hananein", role = c("aut", "cph"), comment = "shower, https://github.com/shower/shower"), person("Gabor", "Csardi", role = c("aut", "cre"), email = "gcsardi@mango-solutions.com"), person("JJ", "Allaire", role = c("aut"), email = "jj@rstudio.com"), person(family = "RStudio", role = "cph"), person(family = "Mango Solutions", role = "cph") )
Description: 'R' 'Markdown' format for 'shower' presentations, see <https://github.com/shower/shower>.
License: MIT + file LICENSE
URL: https://github.com/mangothecat/rmdshower
BugReports: https://github.com/mangothecat/rmdshower/issues
Depends: R (>= 3.0)
Imports: rmarkdown (>= 0.3.3)
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-03-23 18:50:37 UTC; gaborcsardi
Author: Vadim Makeev [aut, cph] (shower, https://github.com/shower/shower), Oleg Jahson [aut, cph] (shower, https://github.com/shower/shower), Slava Oliyanchuk [aut, cph] (shower, https://github.com/shower/shower), Roman Komarov [aut, cph] (shower, https://github.com/shower/shower), Artem Polikarpov [aut, cph] (shower, https://github.com/shower/shower), Tony Ganch [aut, cph] (shower, https://github.com/shower/shower), Denis Hananein [aut, cph] (shower, https://github.com/shower/shower), Gabor Csardi [aut, cre], JJ Allaire [aut], RStudio [cph], Mango Solutions [cph]
Maintainer: Gabor Csardi <gcsardi@mango-solutions.com>
Repository: CRAN
Date/Publication: 2016-03-23 23:15:05

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Package rebird updated to version 0.3.0 with previous version 0.2 dated 2015-07-09

Title: R Client for the eBird Database of Bird Observations
Description: A programmatic client for the eBird database, including functions for searching for bird observations by geographic location (latitude, longitude), eBird hotspots, location identifiers, by notable sightings, by region, and by taxonomic name.
Author: Rafael Maia [aut], Scott Chamberlain [aut], Andy Teucher [aut], Sebastian Pardo [aut, cre]
Maintainer: Sebastian Pardo <sebpardo@gmail.com>

Diff between rebird versions 0.2 dated 2015-07-09 and 0.3.0 dated 2016-03-23

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Package MDMR updated to version 0.3.3 with previous version 0.3.0 dated 2016-02-03

Title: Multivariate Distance Matrix Regression
Description: Allows a user to conduct multivariate distance matrix regression using analytic p-values and compute measures of effect size.
Author: Daniel B. McArtor (dmcartor@nd.edu) [aut, cre]
Maintainer: Daniel B. McArtor <dmcartor@nd.edu>

Diff between MDMR versions 0.3.0 dated 2016-02-03 and 0.3.3 dated 2016-03-23

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Package loo updated to version 0.1.6 with previous version 0.1.5 dated 2016-02-12

Title: Efficient Leave-One-Out Cross-Validation and WAIC for Bayesian Models
Description: Efficient approximate leave-one-out cross-validation (LOO) using Pareto smoothed importance sampling (PSIS), a new procedure for regularizing importance weights. As a byproduct of the calculations, we also obtain approximate standard errors for estimated predictive errors and for the comparison of predictive errors between models. We also compute the widely applicable information criterion (WAIC).
Author: Aki Vehtari [aut], Andrew Gelman [aut], Jonah Gabry [cre, aut], Juho Piironen [ctb], Ben Goodrich [ctb]
Maintainer: Jonah Gabry <jsg2201@columbia.edu>

Diff between loo versions 0.1.5 dated 2016-02-12 and 0.1.6 dated 2016-03-23

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New package jqr with initial version 0.2.0
Package: jqr
Title: Client for 'jq', a JSON Processor
Description: Client for 'jq', a JSON processor (<http://stedolan.github.io/jq/>), written in C. 'jq' allows the following with JSON data: index into, parse, do calculations, cut up and filter, change key names and values, perform conditionals and comparisons, and more.
Version: 0.2.0
Depends: R (>= 3.1.2)
License: MIT + file LICENSE
LazyData: true
Authors@R: c(person("Rich", "FitzJohn", role = "aut", email = "rich.fitzjohn@gmail.com"), person("Scott", "Chamberlain", role = c("aut", "cre"), email = "myrmecocystus@gmail.com"), person("Stefan Milton Bache", role = "aut", email = "stefan@stefanbache.dk"), person("Stephen", "Dolan", role = c("aut","cph"), comment = "jq library"), person(family = "jq contributors", role = "ctb", comment = "jq library; authors listed in inst/AUTHORS.jq"), person("Free Software Foundation", role = c("ctb","cph"), comment = "parser code in src/parser.c"), person("David M", "Gay", role = c("ctb","cph"), comment = "code in src/jv_dtoa.c"))
VignetteBuilder: knitr
SystemRequirements: GNU make
URL: https://github.com/ropensci/jqr
BugReports: https://github.com/ropensci/jqr/issues
LinkingTo: BH, Rcpp
Imports: Rcpp, lazyeval, magrittr
Suggests: jsonlite, testthat, knitr, covr
RoxygenNote: 5.0.1
NeedsCompilation: yes
Packaged: 2016-03-23 21:53:13 UTC; sacmac
Author: Rich FitzJohn [aut], Scott Chamberlain [aut, cre], Stefan Milton Bache [aut], Stephen Dolan [aut, cph] (jq library), jq contributors [ctb] (jq library; authors listed in inst/AUTHORS.jq), Free Software Foundation [ctb, cph] (parser code in src/parser.c), David M Gay [ctb, cph] (code in src/jv_dtoa.c)
Maintainer: Scott Chamberlain <myrmecocystus@gmail.com>
Repository: CRAN
Date/Publication: 2016-03-23 23:24:25

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Package gdm updated to version 1.2.0 with previous version 1.1.7 dated 2016-01-09

Title: Functions for Generalized Dissimilarity Modeling
Description: A toolkit with functions to fit, plot, and summarize Generalized Dissimilarity Models.
Author: Glenn Manion, Matthew Lisk, Simon Ferrier, Diego Nieto-Lugilde, Matthew C. Fitzpatrick
Maintainer: Matthew C. Fitzpatrick <mfitzpatrick@al.umces.edu>

Diff between gdm versions 1.1.7 dated 2016-01-09 and 1.2.0 dated 2016-03-23

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Package directPA updated to version 1.3 with previous version 1.2 dated 2015-06-18

Title: Direction Analysis for Pathways and Kinases
Description: Direction analysis is a set of tools designed to identify combinatorial effects of multiple treatments and/or perturbations on pathways and kinases profiled by microarray, RNA-seq, proteomics, or phosphoproteomics data.
Author: Pengyi Yang & Ellis Patrick
Maintainer: Pengyi Yang <yangpy7@gmail.com>

Diff between directPA versions 1.2 dated 2015-06-18 and 1.3 dated 2016-03-23

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Package dad updated to version 1.1.0 with previous version 1.0.2 dated 2015-11-05

Title: Three-Way Data Analysis Through Densities
Description: The three-way data consists of a set of variables measured on several groups of individuals. To each group is associated an estimated probability density function. The package provides functional methods (principal component analysis, multidimensional scaling, discriminant analysis...) for such probability densities.
Author: Rachid Boumaza, Pierre Santagostini, Smail Yousfi, Sabine Demotes-Mainard
Maintainer: Rachid Boumaza <rachid.boumaza@agrocampus-ouest.fr>

Diff between dad versions 1.0.2 dated 2015-11-05 and 1.1.0 dated 2016-03-23

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New package Countr with initial version 3.2.0
Package: Countr
Type: Package
Title: Flexible Univariate and Bivariate Count Process Probability
Version: 3.2.0
Date: 2016-03-23
Author: Tarak Kharrat, Georgi N. Boshnakov
Maintainer: Tarak Kharrat <tarak.kharrat@manchester.ac.uk>
Description: Flexible univariate and bivariate count models based on the Weibull distribution. The models may include covariates and can be specified with familiar formula syntax.
License: GPL (>= 2)
Depends: R (>= 3.0.2)
Imports: Matrix, Rcpp (>= 0.11.3), flexsurv, Formula, VGAM, optimx, numDeriv, boot, MASS, car
LinkingTo: Rcpp, RcppArmadillo
Suggests: testthat
LazyData: no
RoxygenNote: 5.0.1
NeedsCompilation: yes
Packaged: 2016-03-23 11:31:36 UTC; tarak
Repository: CRAN
Date/Publication: 2016-03-23 23:36:38

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Package bold updated to version 0.3.4 with previous version 0.3.0 dated 2015-09-16

Title: Interface to Bold Systems 'API'
Description: A programmatic interface to the Web Service methods provided by Bold Systems for genetic 'barcode' data. Functions include methods for searching by sequences by taxonomic names, ids, collectors, and institutions; as well as a function for searching for specimens, and downloading trace files.
Author: Scott Chamberlain [aut, cre]
Maintainer: Scott Chamberlain <myrmecocystus@gmail.com>

Diff between bold versions 0.3.0 dated 2015-09-16 and 0.3.4 dated 2016-03-23

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New package braidReports with initial version 0.5.2
Package: braidReports
Type: Package
Title: Visualize Combined Action Response Surfaces and Report BRAID Analyses
Version: 0.5.2
Date: 2016-03-22
Author: Nathaniel R. Twarog
Maintainer: Nathaniel R. Twarog <nathaniel.twarog@stjude.org>
Depends: ggplot2, braidrm, stats
Imports: utils, grid
Suggests: gtable, gridExtra (>= 2.0.0)
Description: Provides functions to generate, format, and style surface plots for visualizing combined action data. Also provides functions for reporting on a BRAID analysis, including plotting curve-shifts, calculating IAE values, and producing full BRAID analysis reports.
License: GPL (>= 3)
Packaged: 2016-03-23 15:55:14 UTC; ntwarog
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2016-03-23 22:54:43

More information about braidReports at CRAN
Permanent link

Tue, 22 Mar 2016

Package Zelig updated to version 5.0-11 with previous version 5.0-10 dated 2016-03-14

Title: Everyone's Statistical Software
Description: A framework that brings together an abundance of common statistical models found across packages into a unified interface, and provides a common architecture for estimation and interpretation, as well as bridging functions to absorb increasingly more models into the collective library. Zelig allows each individual package, for each statistical model, to be accessed by a common uniformly structured call and set of arguments. Moreover, Zelig automates all the surrounding building blocks of a statistical work-flow --procedures and algorithms that may be essential to one user's application but which the original package developer did not use in their own research and might not themselves support. These include bootstrapping, jackknifing, and re-weighting of data. In particular, Zelig automatically generates predicted and simulated quantities of interest (such as relative risk ratios, average treatment effects, first differences and predicted and expected values) to interpret and visualize complex models.
Author: Christine Choirat, James Honaker, Kosuke Imai, Gary King, Olivia Lau
Maintainer: James Honaker <zelig-zee@iq.harvard.edu>

Diff between Zelig versions 5.0-10 dated 2016-03-14 and 5.0-11 dated 2016-03-22

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Package sitar updated to version 1.0.4 with previous version 1.0.3 dated 2015-07-27

Title: Super Imposition by Translation and Rotation Growth Curve Analysis
Description: Functions for fitting and plotting SITAR (Super Imposition by Translation And Rotation) growth curve models. SITAR is a shape-invariant model with a regression B-spline mean curve and subject-specific random effects on both the measurement and age scales.
Author: Tim Cole
Maintainer: Tim Cole <tim.cole@ucl.ac.uk>

Diff between sitar versions 1.0.3 dated 2015-07-27 and 1.0.4 dated 2016-03-22

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Package SimDesign updated to version 0.8 with previous version 0.7 dated 2016-02-21

Title: Structure for Organizing Monte Carlo Simulation Designs
Description: Provides tools to help safely and efficiently organize Monte Carlo simulations in R. The package controls the structure and back-end of Monte Carlo simulations by utilizing a general generate-analyse-summarise strategy. The functions provided control common simulation issues such as re-simulating non-convergent results, support parallel back-end and MPI distributed computations, save and restore temporary files, aggregate results across independent nodes, and provide native support for debugging.
Author: Phil Chalmers [aut, cre]
Maintainer: Phil Chalmers <rphilip.chalmers@gmail.com>

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Package Rexperigen updated to version 0.2.0 with previous version 0.1.0 dated 2016-02-27

Title: R Interface to Experigen
Description: Provides convenience functions to communicate with an Experigen server. It is especially helpful with registered experiments, as authentication with the server has to happen.
Author: Daniel Szeredi [aut, cre]
Maintainer: Daniel Szeredi <daniel@szeredi.hu>

Diff between Rexperigen versions 0.1.0 dated 2016-02-27 and 0.2.0 dated 2016-03-22

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Package quantregForest updated to version 1.2 with previous version 1.1 dated 2015-09-09

Title: Quantile Regression Forests
Description: Quantile Regression Forests is a tree-based ensemble method for estimation of conditional quantiles. It is particularly well suited for high-dimensional data. Predictor variables of mixed classes can be handled. The package is dependent on the package randomForests, written by Andy Liaw.
Author: Nicolai Meinshausen, Lukas Schiesser
Maintainer: Nicolai Meinshausen <meinshausen@stat.math.ethz.ch>

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Package PhySortR updated to version 1.0.6 with previous version 1.0.5 dated 2016-01-11

Title: A Fast, Flexible Tool for Sorting Phylogenetic Trees
Description: Screens and sorts phylogenetic trees in both traditional and extended Newick format. Allows for the fast and flexible screening (within a tree) of Exclusive clades that comprise only the target taxa and/or Non- Exclusive clades that includes a defined portion of non-target taxa.
Author: Timothy Stephens [aut, cre, trl] (R port), Debashish Bhattacharya [aut], Mark Ragan [aut], Cheong Xin Chan [aut, cph] (Original Perl implementation)
Maintainer: Timothy Stephens <timothy.stephens1@uqconnect.edu.au>

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Package permubiome updated to version 1.1 with previous version 1.0 dated 2016-02-08

Title: A Permutation Based Test for Biomarker Discovery in Microbiome Data
Description: All the functions compiled in this package were created to perform permutation-based non-parametric analysis on microbiome data for biomarker discovery aims. This test executes thousands of comparisons in pairwise manner, after random shuffling of data into the different groups of study.
Author: Alfonso Benitez-Paez
Maintainer: Alfonso Benitez-Paez <abenitez@iata.csic.es>

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Package osmplotr updated to version 0.1-3 with previous version 0.1-2 dated 2016-03-03

Title: Customisable Images of OpenStreetMap Data
Description: Produces customisable images of OpenStreetMap (OSM) data and enables data visualisation using OSM objects.
Author: Mark Padgham [aut, cre]
Maintainer: Mark Padgham <mark.padgham@email.com>

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Package MXM updated to version 0.8 with previous version 0.7 dated 2016-03-04

Title: Discovering Multiple, Statistically-Equivalent Signatures
Description: Feature selection methods for identifying minimal, statistically-equivalent and equally-predictive feature subsets. The package name 'MXM' stands for "Mens eX Machina", meaning "Mind from the Machine" in Latin.
Author: Ioannis Tsamardinos, Vincenzo Lagani, Giorgos Athineou, Michail Tsagris, Giorgos Borboudakis
Maintainer: Michail Tsagris <mtsagris@csd.uoc.gr>

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Package lmomco updated to version 2.2.2 with previous version 2.1.4 dated 2015-04-21

Title: L-Moments, Censored L-Moments, Trimmed L-Moments, L-Comoments, and Many Distributions
Description: Extensive functions for the theory of L-moments (LMs) in addition to probability-weighted moments (PWMs), and parameter (p) estimation for numerous familiar and not-so-familiar distributions. Estimation of LMs for the same distributions is provided as are L-moment ratio diagrams. Estimation of LMs for right-tail and left-tail censoring by known or unknown threshold and also by indicator variable is available. Asymmetric trimmed LMs (TL-moments, TLMs) are supported as are numerical integrations to dynamically compute trajectories of select TLM ratios for TL-moment ratio diagram construction. LMs of residual (resid.) and reversed (rev.) resid. life are implemented along with 13 operators on quantile functions that are useful in reliability, lifetime, and survival analysis. Exact analytical bootstrap estimates of order statistics, LMs, and variances-covariances of LMs are provided. The Harri-Coble Tau34-squared Test for Normality is available. Distribution support with "L" (LMs), "TL" (TLMs) and added (+) support for right-tail censoring (RC) encompasses: Asymmetric (Asy.) Exponential (Exp.) Power [L], Asy. Triangular [L], Cauchy [TL], Eta-Mu [L], Exp. [L], Gamma [L], Generalized (Gen.) Exp. Poisson [L], Gen. Extreme Value [L], Gen. Lambda [L,TL], Gen. Logistic [L), Gen. Normal [L], Gen. Pareto [L+RC, TL], Govindarajulu [L], Gumbel [L], Kappa [L], Kappa-Mu [L], Kumaraswamy [L], Laplace [L], Linear Mean Residual Quantile Function [L], Normal [L], 3-p log-Normal [L], Pearson Type III [L], Rayleigh [L], Rev. Gumbel [L+RC], Rice/Rician (L), Slash [TL], 3-p Student t [L], Truncated Exponential [L], Wakeby [L], and Weibull [L]. LMs have multivariate analogs; the sample L-comoments (LCMs) are implemented and might have considerable application with copulas because LCMs measure asymmetric association and higher comoments or comovements of variables.
Author: William Asquith
Maintainer: William Asquith <william.asquith@ttu.edu>

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 lmomco-2.2.2/lmomco/R/cdfgno.R                            |   35 -
 lmomco-2.2.2/lmomco/R/cdfgov.R                            |   34 -
 lmomco-2.2.2/lmomco/R/cdfgpa.R                            |   38 -
 lmomco-2.2.2/lmomco/R/cdfgum.R                            |    8 
 lmomco-2.2.2/lmomco/R/cdfkap.R                            |   53 --
 lmomco-2.2.2/lmomco/R/cdfkmu.R                            |   79 ++-
 lmomco-2.2.2/lmomco/R/cdfkur.R                            |   13 
 lmomco-2.2.2/lmomco/R/cdflap.R                            |   14 
 lmomco-2.2.2/lmomco/R/cdflmrq.R                           |   34 -
 lmomco-2.2.2/lmomco/R/cdfln3.R                            |   16 
 lmomco-2.2.2/lmomco/R/cdfnor.R                            |    7 
 lmomco-2.2.2/lmomco/R/cdfpe3.R                            |   39 -
 lmomco-2.2.2/lmomco/R/cdfray.R                            |   15 
 lmomco-2.2.2/lmomco/R/cdfrevgum.R                         |   15 
 lmomco-2.2.2/lmomco/R/cdfrice.R                           |   32 -
 lmomco-2.2.2/lmomco/R/cdfsla.R                            |   26 -
 lmomco-2.2.2/lmomco/R/cdfst3.R                            |   13 
 lmomco-2.2.2/lmomco/R/cdftexp.R                           |   31 -
 lmomco-2.2.2/lmomco/R/cdftri.R                            |   20 
 lmomco-2.2.2/lmomco/R/cdfwak.R                            |   79 +--
 lmomco-2.2.2/lmomco/R/check.pdf.R                         |   49 +-
 lmomco-2.2.2/lmomco/R/disfitqua.R                         |only
 lmomco-2.2.2/lmomco/R/dlmomco.R                           |    3 
 lmomco-2.2.2/lmomco/R/genci.simple.R                      |only
 lmomco-2.2.2/lmomco/R/gini.mean.diff.R                    |    6 
 lmomco-2.2.2/lmomco/R/hlmomco.R                           |    1 
 lmomco-2.2.2/lmomco/R/lmomemu.R                           |    3 
 lmomco-2.2.2/lmomco/R/lmomkmu.R                           |   57 --
 lmomco-2.2.2/lmomco/R/lmomrice.R                          |    3 
 lmomco-2.2.2/lmomco/R/lmoms.cov.R                         |only
 lmomco-2.2.2/lmomco/R/lmomtri.R                           |   58 +-
 lmomco-2.2.2/lmomco/R/lmrdia.R                            |   15 
 lmomco-2.2.2/lmomco/R/nonexceeds.R                        |   23 
 lmomco-2.2.2/lmomco/R/partri.R                            |   55 +-
 lmomco-2.2.2/lmomco/R/pdfaep4.R                           |   12 
 lmomco-2.2.2/lmomco/R/pdfcau.R                            |   12 
 lmomco-2.2.2/lmomco/R/pdfemu.R                            |   51 +-
 lmomco-2.2.2/lmomco/R/pdfexp.R                            |   16 
 lmomco-2.2.2/lmomco/R/pdfgam.R                            |   16 
 lmomco-2.2.2/lmomco/R/pdfgep.R                            |   17 
 lmomco-2.2.2/lmomco/R/pdfgev.R                            |   40 -
 lmomco-2.2.2/lmomco/R/pdfgld.R                            |   34 -
 lmomco-2.2.2/lmomco/R/pdfglo.R                            |   34 -
 lmomco-2.2.2/lmomco/R/pdfgno.R                            |   36 -
 lmomco-2.2.2/lmomco/R/pdfgov.R                            |   24 
 lmomco-2.2.2/lmomco/R/pdfgpa.R                            |   31 -
 lmomco-2.2.2/lmomco/R/pdfgum.R                            |   17 
 lmomco-2.2.2/lmomco/R/pdfkap.R                            |   57 --
 lmomco-2.2.2/lmomco/R/pdfkmu.R                            |  103 ++--
 lmomco-2.2.2/lmomco/R/pdfkur.R                            |   17 
 lmomco-2.2.2/lmomco/R/pdflap.R                            |   12 
 lmomco-2.2.2/lmomco/R/pdflmrq.R                           |   17 
 lmomco-2.2.2/lmomco/R/pdfln3.R                            |    8 
 lmomco-2.2.2/lmomco/R/pdfnor.R                            |    7 
 lmomco-2.2.2/lmomco/R/pdfpe3.R                            |   57 --
 lmomco-2.2.2/lmomco/R/pdfray.R                            |   20 
 lmomco-2.2.2/lmomco/R/pdfrevgum.R                         |   12 
 lmomco-2.2.2/lmomco/R/pdfrice.R                           |   27 -
 lmomco-2.2.2/lmomco/R/pdfsla.R                            |   28 -
 lmomco-2.2.2/lmomco/R/pdfst3.R                            |   10 
 lmomco-2.2.2/lmomco/R/pdftexp.R                           |   31 -
 lmomco-2.2.2/lmomco/R/pdftri.R                            |   42 -
 lmomco-2.2.2/lmomco/R/pdfwak.R                            |   29 -
 lmomco-2.2.2/lmomco/R/pfactor.bernstein.R                 |    2 
 lmomco-2.2.2/lmomco/R/prettydist.R                        |    2 
 lmomco-2.2.2/lmomco/R/qua2ci.cov.R                        |only
 lmomco-2.2.2/lmomco/R/qua2ci.simple.R                     |only
 lmomco-2.2.2/lmomco/R/quaaep4.R                           |   36 -
 lmomco-2.2.2/lmomco/R/quaaep4kapmix.R                     |    3 
 lmomco-2.2.2/lmomco/R/quacau.R                            |   12 
 lmomco-2.2.2/lmomco/R/quaemu.R                            |   17 
 lmomco-2.2.2/lmomco/R/quaexp.R                            |    7 
 lmomco-2.2.2/lmomco/R/quagam.R                            |   14 
 lmomco-2.2.2/lmomco/R/quagep.R                            |   12 
 lmomco-2.2.2/lmomco/R/quagev.R                            |   27 -
 lmomco-2.2.2/lmomco/R/quagld.R                            |   20 
 lmomco-2.2.2/lmomco/R/quaglo.R                            |   28 -
 lmomco-2.2.2/lmomco/R/quagno.R                            |   21 
 lmomco-2.2.2/lmomco/R/quagov.R                            |   17 
 lmomco-2.2.2/lmomco/R/quagpa.R                            |   25 -
 lmomco-2.2.2/lmomco/R/quagum.R                            |   13 
 lmomco-2.2.2/lmomco/R/quakap.R                            |   49 --
 lmomco-2.2.2/lmomco/R/quakmu.R                            |  106 ++--
 lmomco-2.2.2/lmomco/R/quakur.R                            |   13 
 lmomco-2.2.2/lmomco/R/qualap.R                            |   11 
 lmomco-2.2.2/lmomco/R/qualmrq.R                           |    1 
 lmomco-2.2.2/lmomco/R/qualn3.R                            |    6 
 lmomco-2.2.2/lmomco/R/quanor.R                            |    7 
 lmomco-2.2.2/lmomco/R/quape3.R                            |   45 -
 lmomco-2.2.2/lmomco/R/quaray.R                            |   13 
 lmomco-2.2.2/lmomco/R/quarevgum.R                         |   15 
 lmomco-2.2.2/lmomco/R/quarice.R                           |   33 -
 lmomco-2.2.2/lmomco/R/quasla.R                            |   26 -
 lmomco-2.2.2/lmomco/R/quatexp.R                           |   29 -
 lmomco-2.2.2/lmomco/R/quatri.R                            |   14 
 lmomco-2.2.2/lmomco/R/quawak.R                            |   50 --
 lmomco-2.2.2/lmomco/R/rmlmomco.R                          |   17 
 lmomco-2.2.2/lmomco/R/rmvarlmomco.R                       |   14 
 lmomco-2.2.2/lmomco/R/rrmlmomco.R                         |   16 
 lmomco-2.2.2/lmomco/R/rrmvarlmomco.R                      |   14 
 lmomco-2.2.2/lmomco/R/supdist.R                           |   41 +
 lmomco-2.2.2/lmomco/R/tau34sq.normtest.R                  |   28 -
 lmomco-2.2.2/lmomco/R/theoTLmoms.R                        |   20 
 lmomco-2.2.2/lmomco/R/vec2par.R                           |    4 
 lmomco-2.2.2/lmomco/R/x2xlo.R                             |   10 
 lmomco-2.2.2/lmomco/R/z.par2cdf.R                         |   35 -
 lmomco-2.2.2/lmomco/R/z.par2qua.R                         |   42 +
 lmomco-2.2.2/lmomco/inst/ACKNOWLEDGEMENTS                 |    2 
 lmomco-2.2.2/lmomco/inst/CITATION                         |   18 
 lmomco-2.2.2/lmomco/inst/ERRATA_FOR_ISBN9781463508418.txt |   10 
 lmomco-2.2.2/lmomco/man/TLmoms.Rd                         |    6 
 lmomco-2.2.2/lmomco/man/add.lmomco.axis.Rd                |   11 
 lmomco-2.2.2/lmomco/man/add.log.axis.Rd                   |only
 lmomco-2.2.2/lmomco/man/are.par.valid.Rd                  |    3 
 lmomco-2.2.2/lmomco/man/cdf2lmoms.Rd                      |    2 
 lmomco-2.2.2/lmomco/man/cdfgld.Rd                         |    7 
 lmomco-2.2.2/lmomco/man/cdfkmu.Rd                         |   51 +-
 lmomco-2.2.2/lmomco/man/cdfwak.Rd                         |    4 
 lmomco-2.2.2/lmomco/man/check.pdf.Rd                      |   17 
 lmomco-2.2.2/lmomco/man/disfitqua.Rd                      |only
 lmomco-2.2.2/lmomco/man/dist.list.Rd                      |   19 
 lmomco-2.2.2/lmomco/man/gen.freq.curves.Rd                |    6 
 lmomco-2.2.2/lmomco/man/genci.simple.Rd                   |only
 lmomco-2.2.2/lmomco/man/lmomco-package.Rd                 |    6 
 lmomco-2.2.2/lmomco/man/lmomgov.Rd                        |    2 
 lmomco-2.2.2/lmomco/man/lmomkmu.Rd                        |    2 
 lmomco-2.2.2/lmomco/man/lmoms.bootbarvar.Rd               |    2 
 lmomco-2.2.2/lmomco/man/lmoms.cov.Rd                      |only
 lmomco-2.2.2/lmomco/man/lmomsRCmark.Rd                    |   15 
 lmomco-2.2.2/lmomco/man/lmomtri.Rd                        |   56 +-
 lmomco-2.2.2/lmomco/man/lmrdia.Rd                         |    3 
 lmomco-2.2.2/lmomco/man/nonexceeds.Rd                     |    5 
 lmomco-2.2.2/lmomco/man/parglo.Rd                         |   12 
 lmomco-2.2.2/lmomco/man/parkmu.Rd                         |    3 
 lmomco-2.2.2/lmomco/man/pdfemu.Rd                         |    6 
 lmomco-2.2.2/lmomco/man/pdfgld.Rd                         |    6 
 lmomco-2.2.2/lmomco/man/pdfkmu.Rd                         |    6 
 lmomco-2.2.2/lmomco/man/pdfrice.Rd                        |   36 -
 lmomco-2.2.2/lmomco/man/pdfwei.Rd                         |    6 
 lmomco-2.2.2/lmomco/man/pmoms.Rd                          |    2 
 lmomco-2.2.2/lmomco/man/prettydist.Rd                     |    3 
 lmomco-2.2.2/lmomco/man/qua2ci.cov.Rd                     |only
 lmomco-2.2.2/lmomco/man/qua2ci.simple.Rd                  |only
 lmomco-2.2.2/lmomco/man/quagep.Rd                         |    2 
 lmomco-2.2.2/lmomco/man/quagld.Rd                         |    4 
 lmomco-2.2.2/lmomco/man/quagpa.Rd                         |   12 
 lmomco-2.2.2/lmomco/man/quakmu.Rd                         |   11 
 lmomco-2.2.2/lmomco/man/quarice.Rd                        |    7 
 lmomco-2.2.2/lmomco/man/quatexp.Rd                        |    5 
 lmomco-2.2.2/lmomco/man/rmvarlmomco.Rd                    |    9 
 lmomco-2.2.2/lmomco/man/supdist.Rd                        |   12 
 lmomco-2.2.2/lmomco/man/theoTLmoms.Rd                     |   71 ++
 lmomco-2.2.2/lmomco/man/z.par2cdf.Rd                      |   45 +
 lmomco-2.2.2/lmomco/man/z.par2qua.Rd                      |   31 -
 179 files changed, 2040 insertions(+), 1952 deletions(-)

More information about lmomco at CRAN
Permanent link

Package ffbase updated to version 0.12.3 with previous version 0.12.1 dated 2015-06-05

Title: Basic Statistical Functions for Package 'ff'
Description: Extends the out of memory vectors of 'ff' with statistical functions and other utilities to ease their usage.
Author: Edwin de Jonge, Jan Wijffels, Jan van der Laan
Maintainer: Edwin de Jonge <edwindjonge@gmail.com>

Diff between ffbase versions 0.12.1 dated 2015-06-05 and 0.12.3 dated 2016-03-22

 ffbase-0.12.1/ffbase/tests/testthat/tmp.fwf           |only
 ffbase-0.12.3/ffbase/DESCRIPTION                      |   13 
 ffbase-0.12.3/ffbase/MD5                              |  322 ++++-----
 ffbase-0.12.3/ffbase/NAMESPACE                        |  448 ++++++------
 ffbase-0.12.3/ffbase/NEWS                             |  259 +++----
 ffbase-0.12.3/ffbase/R/Summary_ff.R                   |  236 +++---
 ffbase-0.12.3/ffbase/R/as.R                           |  204 ++---
 ffbase-0.12.3/ffbase/R/auxilary.R                     |  318 ++++----
 ffbase-0.12.3/ffbase/R/bigglm.R                       |  134 +--
 ffbase-0.12.3/ffbase/R/binned_sum.R                   |  162 ++--
 ffbase-0.12.3/ffbase/R/binned_sumsq.R                 |  156 ++--
 ffbase-0.12.3/ffbase/R/binned_tabulate.R              |  190 ++---
 ffbase-0.12.3/ffbase/R/byMean.R                       |  160 ++--
 ffbase-0.12.3/ffbase/R/bySum.R                        |  140 +--
 ffbase-0.12.3/ffbase/R/chunkify.R                     |  118 +--
 ffbase-0.12.3/ffbase/R/compact.R                      |  112 +--
 ffbase-0.12.3/ffbase/R/cumsum.R                       |  142 +--
 ffbase-0.12.3/ffbase/R/cut_ff.R                       |  106 +-
 ffbase-0.12.3/ffbase/R/date_formatting.R              |   56 -
 ffbase-0.12.3/ffbase/R/diff_ff.R                      |   66 -
 ffbase-0.12.3/ffbase/R/droplevels.R                   |  108 +--
 ffbase-0.12.3/ffbase/R/duplicated.R                   |  158 ++--
 ffbase-0.12.3/ffbase/R/expand_ffgrid.R                |  140 +--
 ffbase-0.12.3/ffbase/R/extract.R                      |  189 +++--
 ffbase-0.12.3/ffbase/R/ffappend.R                     |  268 +++----
 ffbase-0.12.3/ffbase/R/ffdfdply.R                     |  226 +++---
 ffbase-0.12.3/ffbase/R/ffdfsave.R                     |   64 -
 ffbase-0.12.3/ffbase/R/ffdfwith.R                     |  144 ++--
 ffbase-0.12.3/ffbase/R/ffifelse.R                     |   68 -
 ffbase-0.12.3/ffbase/R/ffmatch.R                      |  226 +++---
 ffbase-0.12.3/ffbase/R/ffordered.R                    |  106 +-
 ffbase-0.12.3/ffbase/R/ffrandom.R                     |   74 +-
 ffbase-0.12.3/ffbase/R/ffrep.R                        |  116 +--
 ffbase-0.12.3/ffbase/R/ffseq.R                        |  298 ++++----
 ffbase-0.12.3/ffbase/R/ffwhich.R                      |  166 ++--
 ffbase-0.12.3/ffbase/R/hist2d.R                       |   86 +-
 ffbase-0.12.3/ffbase/R/hist_ff.R                      |  106 +-
 ffbase-0.12.3/ffbase/R/ikey.R                         |   44 -
 ffbase-0.12.3/ffbase/R/isNA.R                         |   80 +-
 ffbase-0.12.3/ffbase/R/laf_to_ffdf.R                  |  118 +--
 ffbase-0.12.3/ffbase/R/logging.R                      |   66 -
 ffbase-0.12.3/ffbase/R/mean.R                         |   70 -
 ffbase-0.12.3/ffbase/R/merge.R                        |  232 +++---
 ffbase-0.12.3/ffbase/R/pkg.R                          |  153 ++--
 ffbase-0.12.3/ffbase/R/quantile_ff.R                  |   70 -
 ffbase-0.12.3/ffbase/R/rbind_ffdf.R                   |   96 +-
 ffbase-0.12.3/ffbase/R/rev_ff.R                       |   26 
 ffbase-0.12.3/ffbase/R/rle_ff.R                       |   94 +-
 ffbase-0.12.3/ffbase/R/save_ffdf.R                    |  436 ++++++------
 ffbase-0.12.3/ffbase/R/subset.R                       |  100 +-
 ffbase-0.12.3/ffbase/R/table_ff.R                     |  230 +++---
 ffbase-0.12.3/ffbase/R/tabulate_ff.R                  |  128 +--
 ffbase-0.12.3/ffbase/R/transform.R                    |   78 +-
 ffbase-0.12.3/ffbase/R/tsum.R                         |  164 ++--
 ffbase-0.12.3/ffbase/R/unique.R                       |  192 ++---
 ffbase-0.12.3/ffbase/R/with.R                         |  284 +++----
 ffbase-0.12.3/ffbase/R/zzz.R                          |    6 
 ffbase-0.12.3/ffbase/man/all.ff.Rd                    |   48 -
 ffbase-0.12.3/ffbase/man/any.ff.Rd                    |   48 -
 ffbase-0.12.3/ffbase/man/as.Date.ff_vector.Rd         |   44 -
 ffbase-0.12.3/ffbase/man/as.character.ff.Rd           |   64 -
 ffbase-0.12.3/ffbase/man/as.ffdf.ffdf.Rd              |   34 
 ffbase-0.12.3/ffbase/man/as.ram.ffdf.Rd               |   40 -
 ffbase-0.12.3/ffbase/man/bigglm.ffdf.Rd               |   92 +-
 ffbase-0.12.3/ffbase/man/binned_sum.Rd                |   60 -
 ffbase-0.12.3/ffbase/man/binned_sumsq.Rd              |   84 +-
 ffbase-0.12.3/ffbase/man/binned_tabulate.Rd           |   76 +-
 ffbase-0.12.3/ffbase/man/byMean.Rd                    |   52 -
 ffbase-0.12.3/ffbase/man/bySum.Rd                     |   60 -
 ffbase-0.12.3/ffbase/man/c.ff.Rd                      |   42 -
 ffbase-0.12.3/ffbase/man/chunkexpr.Rd                 |   48 -
 ffbase-0.12.3/ffbase/man/chunkify.Rd                  |   40 -
 ffbase-0.12.3/ffbase/man/compact.Rd                   |   48 -
 ffbase-0.12.3/ffbase/man/condMean.Rd                  |   48 -
 ffbase-0.12.3/ffbase/man/condSum.Rd                   |   48 -
 ffbase-0.12.3/ffbase/man/cumsum.ff.Rd                 |  110 +--
 ffbase-0.12.3/ffbase/man/cut.ff.Rd                    |   56 -
 ffbase-0.12.3/ffbase/man/diff.ff.Rd                   |   42 -
 ffbase-0.12.3/ffbase/man/droplevels.ff.Rd             |   56 -
 ffbase-0.12.3/ffbase/man/droplevels.ffdf.Rd           |   60 -
 ffbase-0.12.3/ffbase/man/duplicated.ff.Rd             |  136 +--
 ffbase-0.12.3/ffbase/man/expand.ffgrid.Rd             |   84 +-
 ffbase-0.12.3/ffbase/man/ff_arithmetic.Rd             |   90 +-
 ffbase-0.12.3/ffbase/man/ff_math.Rd                   |  236 +++---
 ffbase-0.12.3/ffbase/man/ff_ops.Rd                    |  104 +-
 ffbase-0.12.3/ffbase/man/ffappend.Rd                  |   56 -
 ffbase-0.12.3/ffbase/man/ffbase-package.Rd            |  186 ++---
 ffbase-0.12.3/ffbase/man/ffdfappend.Rd                |   60 -
 ffbase-0.12.3/ffbase/man/ffdfdply.Rd                  |  144 ++--
 ffbase-0.12.3/ffbase/man/ffdfrbind.fill.Rd            |   68 -
 ffbase-0.12.3/ffbase/man/ffdfwith.Rd                  |   80 +-
 ffbase-0.12.3/ffbase/man/ffextract.Rd                 |  130 +--
 ffbase-0.12.3/ffbase/man/ffextractffdf.Rd             |only
 ffbase-0.12.3/ffbase/man/ffifelse.Rd                  |   72 +-
 ffbase-0.12.3/ffbase/man/ffmatch.Rd                   |  140 +--
 ffbase-0.12.3/ffbase/man/ffordered.Rd                 |   86 +-
 ffbase-0.12.3/ffbase/man/ffrandom.Rd                  |   94 +-
 ffbase-0.12.3/ffbase/man/ffrep.int.Rd                 |   84 +-
 ffbase-0.12.3/ffbase/man/ffseq.Rd                     |  102 +-
 ffbase-0.12.3/ffbase/man/ffseq_len.Rd                 |   78 +-
 ffbase-0.12.3/ffbase/man/ffwhich.Rd                   |   78 +-
 ffbase-0.12.3/ffbase/man/format.ff_vector.Rd          |   44 -
 ffbase-0.12.3/ffbase/man/grouprunningcumsum.Rd        |   46 -
 ffbase-0.12.3/ffbase/man/hist.ff.Rd                   |   48 -
 ffbase-0.12.3/ffbase/man/hist2d.ff.Rd                 |   26 
 ffbase-0.12.3/ffbase/man/ikey.Rd                      |   62 -
 ffbase-0.12.3/ffbase/man/is.na.ff.Rd                  |   91 +-
 ffbase-0.12.3/ffbase/man/laf_to_ffdf.Rd               |   48 -
 ffbase-0.12.3/ffbase/man/load.ffdf.Rd                 |   96 +-
 ffbase-0.12.3/ffbase/man/mean.ff.Rd                   |   60 -
 ffbase-0.12.3/ffbase/man/merge.ffdf.Rd                |  226 +++---
 ffbase-0.12.3/ffbase/man/min.ff.Rd                    |   86 +-
 ffbase-0.12.3/ffbase/man/move.ffdf.Rd                 |  106 +-
 ffbase-0.12.3/ffbase/man/pack.ffdf.Rd                 |   96 +-
 ffbase-0.12.3/ffbase/man/pkg-deprecated.Rd            |   42 -
 ffbase-0.12.3/ffbase/man/quantile.ff.Rd               |   54 -
 ffbase-0.12.3/ffbase/man/rle_ff.Rd                    |   64 -
 ffbase-0.12.3/ffbase/man/save.ffdf.Rd                 |  144 ++--
 ffbase-0.12.3/ffbase/man/set_ffbase_logging.Rd        |   34 
 ffbase-0.12.3/ffbase/man/subset.ff.Rd                 |   46 -
 ffbase-0.12.3/ffbase/man/sum.ff.Rd                    |   48 -
 ffbase-0.12.3/ffbase/man/table.Rd                     |   84 +-
 ffbase-0.12.3/ffbase/man/tabulate.ff.Rd               |   70 -
 ffbase-0.12.3/ffbase/man/transform.ffdf.Rd            |   54 -
 ffbase-0.12.3/ffbase/man/unique.ff.Rd                 |  130 +--
 ffbase-0.12.3/ffbase/man/unpack.ffdf.Rd               |  100 +-
 ffbase-0.12.3/ffbase/man/with.ffdf.Rd                 |   82 +-
 ffbase-0.12.3/ffbase/man/within.ffdf.Rd               |   60 -
 ffbase-0.12.3/ffbase/src/binned_sumsq.c               |    2 
 ffbase-0.12.3/ffbase/tests/testthat.R                 |    6 
 ffbase-0.12.3/ffbase/tests/testthat/testSummary.R     |  146 ++--
 ffbase-0.12.3/ffbase/tests/testthat/testchunkify.R    |   44 -
 ffbase-0.12.3/ffbase/tests/testthat/testcumsum.R      |   90 +-
 ffbase-0.12.3/ffbase/tests/testthat/testcut_ff.R      |   24 
 ffbase-0.12.3/ffbase/tests/testthat/testdroplevels.R  |   58 -
 ffbase-0.12.3/ffbase/tests/testthat/testduplicated.R  |   44 -
 ffbase-0.12.3/ffbase/tests/testthat/testextract.R     |   22 
 ffbase-0.12.3/ffbase/tests/testthat/testffappend.R    |  196 ++---
 ffbase-0.12.3/ffbase/tests/testthat/testffdfplyr.R    |   56 -
 ffbase-0.12.3/ffbase/tests/testthat/testffifelse.R    |   72 +-
 ffbase-0.12.3/ffbase/tests/testthat/testffmatch.R     |  102 +-
 ffbase-0.12.3/ffbase/tests/testthat/testffranfrom.R   |   26 
 ffbase-0.12.3/ffbase/tests/testthat/testffwhich.R     |   74 +-
 ffbase-0.12.3/ffbase/tests/testthat/testikey.R        |   44 -
 ffbase-0.12.3/ffbase/tests/testthat/testisna.R        |   64 -
 ffbase-0.12.3/ffbase/tests/testthat/testlaf.R         |  110 +--
 ffbase-0.12.3/ffbase/tests/testthat/testmean.ff.R     |   16 
 ffbase-0.12.3/ffbase/tests/testthat/testmerge.R       |  180 ++---
 ffbase-0.12.3/ffbase/tests/testthat/testmin.ff.R      |   78 +-
 ffbase-0.12.3/ffbase/tests/testthat/testrange_ff.R    |   28 
 ffbase-0.12.3/ffbase/tests/testthat/testrisplit.R     |   58 -
 ffbase-0.12.3/ffbase/tests/testthat/testrle_ff.R      |   46 -
 ffbase-0.12.3/ffbase/tests/testthat/testsave_ffdf.R   |   20 
 ffbase-0.12.3/ffbase/tests/testthat/testseq.R         |  108 +--
 ffbase-0.12.3/ffbase/tests/testthat/testsops.R        |  640 +++++++++---------
 ffbase-0.12.3/ffbase/tests/testthat/testsubset.R      |  102 +-
 ffbase-0.12.3/ffbase/tests/testthat/testsum_ff.R      |   30 
 ffbase-0.12.3/ffbase/tests/testthat/testtable_ff.R    |  106 +-
 ffbase-0.12.3/ffbase/tests/testthat/testtabulate_ff.R |   26 
 ffbase-0.12.3/ffbase/tests/testthat/testtransform.R   |   30 
 ffbase-0.12.3/ffbase/tests/testthat/testunique.R      |   48 -
 ffbase-0.12.3/ffbase/tests/testthat/testwith.R        |  102 +-
 ffbase-0.12.3/ffbase/tests/testthat/testwithin.R      |   30 
 163 files changed, 8468 insertions(+), 8367 deletions(-)

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New package dagitty with initial version 0.1-9
Package: dagitty
Type: Package
Title: Graphical Analysis of Structural Causal Models
Version: 0.1-9
Date: 2016-03-22
Author: Johannes Textor, Benito van der Zander
Maintainer: Johannes Textor <johannes.textor@gmx.de>
Description: A port of the web-based software "DAGitty" for analyzing structural causal models (also known as directed acyclic graphs or DAGs). The package computes covariate adjustment sets for estimating causal effects, enumerates instrumental variables, derives testable implications (d-separation and vanishing tetrads), generates equivalent models, and includes a simple facility for data simulation.
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
License: GPL-2
URL: http://www.dagitty.net, https://github.com/jtextor/dagitty
BugReports: https://github.com/jtextor/dagitty/issues
Depends: R (>= 3.0.0)
Imports: V8, jsonlite, boot, MASS, methods, grDevices, stats, utils, graphics
Suggests: knitr, base64enc (>= 0.1-3), lavaan, testthat
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-03-22 13:08:41 UTC; johannes
Repository: CRAN
Date/Publication: 2016-03-23 00:35:31

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Package chunked updated to version 0.2.0 with previous version 0.1.1 dated 2015-10-12

Title: Chunkwise Text-File Processing for 'dplyr'
Description: Text data can be processed chunkwise using 'dplyr' commands. These are recorded and executed per data chunk, so large files can be processed with limited memory using the 'LaF' package.
Author: Edwin de Jonge
Maintainer: Edwin de Jonge <edwindjonge@gmail.com>

Diff between chunked versions 0.1.1 dated 2015-10-12 and 0.2.0 dated 2016-03-22

 DESCRIPTION                       |   14 +-
 MD5                               |   56 ++++----
 NAMESPACE                         |   77 +++++------
 NEWS.md                           |only
 R/chunkwise.R                     |  266 +++++++++++++++++++-------------------
 R/head.R                          |   24 +--
 R/insert_chunk_into.R             |  104 +++++++-------
 R/pkg.R                           |   96 ++++++-------
 R/print.R                         |   28 ++--
 R/read.R                          |  154 +++++++++++-----------
 R/unsupported.R                   |   62 ++++----
 R/verbs.R                         |  225 +++++++++++++++++---------------
 R/write.R                         |  262 ++++++++++++++++++-------------------
 README.md                         |  264 +++++++++++++++++++------------------
 man/chunked-package.Rd            |  110 +++++++--------
 man/insert_chunkwise_into.Rd      |   56 ++++----
 man/read_chunks.Rd                |  150 +++++++++++----------
 man/read_chunkwise.Rd             |   62 ++++----
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 tests/testthat.R                  |    8 -
 tests/testthat/test-head.R        |   21 +--
 tests/testthat/test-insert-into.R |   46 +++---
 tests/testthat/test-print.R       |only
 tests/testthat/test-read.R        |   72 +++++-----
 tests/testthat/test-tbl-chunk.R   |   34 ++--
 tests/testthat/test-unsupported.R |   60 ++++----
 tests/testthat/test-verbs.R       |  204 ++++++++++++++++-------------
 tests/testthat/test-write.R       |   64 ++++-----
 tests/testthat/util.R             |   44 +++---
 30 files changed, 1423 insertions(+), 1338 deletions(-)

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New package vegalite with initial version 0.6.1
Package: vegalite
Type: Package
Title: Tools to Encode Visualizations with the 'Grammar of Graphics'-Like 'Vega-Lite' 'Spec'
Version: 0.6.1
Date: 2016-03-21
Maintainer: Bob Rudis <bob@rudis.net>
Authors@R: c( person("Bob", "Rudis", email = "bob@rudis.net", role = c("aut", "cre")), person("Kanit", "Wongsuphasawat,", comment = "Vega-Lite library", role = c("aut")), person("Jeffrey", "Heer", comment = "Vega-Lite library", role = c("aut")), person("Arvind", "Satyanarayan", comment = "Vega-Lite library", role = c("aut")), person("Mike", "Bostock", comment = "D3 library", role = c("aut")) )
Description: The 'Vega-Lite' 'JavaScript' framework provides a higher-level grammar for visual analysis, akin to 'ggplot' or 'Tableau', that generates complete 'Vega' specifications. Functions exist which enable building a valid 'spec' from scratch or importing a previously created 'spec' file. Functions also exist to export 'spec' files and to generate code which will enable plots to be embedded in properly configured web pages. The default behavior is to generate an 'htmlwidget'.
URL: http://github.com/hrbrmstr/vegalite
BugReports: https://github.com/hrbrmstr/vegalite/issues
License: AGPL + file LICENSE
Encoding: UTF-8
Suggests: testthat, knitr, rmarkdown
Depends: R (>= 3.0.0)
Imports: jsonlite, htmlwidgets (>= 0.6), htmltools, magrittr, digest, tools, clipr, utils, webshot, base64, stats
RoxygenNote: 5.0.1
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2016-03-22 01:12:02 UTC; root
Author: Bob Rudis [aut, cre], Kanit Wongsuphasawat, [aut] (Vega-Lite library), Jeffrey Heer [aut] (Vega-Lite library), Arvind Satyanarayan [aut] (Vega-Lite library), Mike Bostock [aut] (D3 library)
Repository: CRAN
Date/Publication: 2016-03-22 23:51:16

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New package tibble with initial version 1.0
Package: tibble
Encoding: UTF-8
Version: 1.0
Title: Simple Data Frames
Description: Provides a 'tbl_df' class that offers better checking and printing capabilities than traditional data frames.
Authors@R: c( person("Hadley", "Wickham", , "hadley@rstudio.com", "aut"), person("Romain", "Francois", , "romain@r-enthusiasts.com", "aut"), person("Kirill", "Müller", , "krlmlr+r@mailbox.org", c("aut", "cre")), person("RStudio", role = "cph") )
URL: https://github.com/hadley/tibble
BugReports: https://github.com/hadley/tibble/issues
Depends: R (>= 3.1.2)
Imports: methods, assertthat, utils, lazyeval (>= 0.1.10), Rcpp
Suggests: testthat, withr, knitr, rmarkdown, Lahman (>= 3.0.1), microbenchmark
LinkingTo: Rcpp
LazyData: yes
License: MIT + file LICENSE
RoxygenNote: 5.0.1
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2016-03-22 22:41:38 UTC; muelleki
Author: Hadley Wickham [aut], Romain Francois [aut], Kirill Müller [aut, cre], RStudio [cph]
Maintainer: Kirill Müller <krlmlr+r@mailbox.org>
Repository: CRAN
Date/Publication: 2016-03-23 00:07:32

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New package sparseSVM with initial version 1.1-2
Package: sparseSVM
Type: Package
Title: Solution Paths of Sparse Linear Support Vector Machine with Lasso or ELastic-Net Regularization
Version: 1.1-2
Date: 2016-03-21
Author: Congrui Yi and Yaohui Zeng
Maintainer: Congrui Yi <congrui-yi@uiowa.edu>
Description: Fast algorithm for fitting solution paths of sparse linear SVM with lasso or elastic-net regularization generate sparse solutions.
License: GPL-3
NeedsCompilation: yes
Depends: parallel
Packaged: 2016-03-22 04:15:28 UTC; congrui
Repository: CRAN
Date/Publication: 2016-03-22 23:53:49

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New package password with initial version 1.0-0
Package: password
Type: Package
Title: Create Random Passwords
Version: 1.0-0
Date: 2014-01-10
Author: Enrico Schumann
Maintainer: Enrico Schumann <es@enricoschumann.net>
Description: Create random passwords of letters, numbers and punctuation.
License: GPL-3
NeedsCompilation: no
Packaged: 2016-03-22 07:03:31 UTC; es
Repository: CRAN
Date/Publication: 2016-03-22 23:51:21

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Package MIIVsem updated to version 0.4.7 with previous version 0.4.6 dated 2016-03-06

Title: Model Implied Instrumental Variable (MIIV) Estimation of Structural Equation Models
Description: Functions for estimating structural equation models using model- implied instrumental variables.
Author: Zachary Fisher, Ken Bollen, Kathleen Gates, and Mikko Rönkkö.
Maintainer: Zachary Fisher <fish.zachary@gmail.com>

Diff between MIIVsem versions 0.4.6 dated 2016-03-06 and 0.4.7 dated 2016-03-22

 DESCRIPTION |    7 ++++---
 MD5         |    6 +++---
 R/miive.R   |    7 ++++---
 R/miivs.R   |   20 ++++++++++++++++++--
 4 files changed, 29 insertions(+), 11 deletions(-)

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Package emIRT updated to version 0.0.6 with previous version 0.0.5 dated 2015-03-01

Title: EM Algorithms for Estimating Item Response Theory Models
Description: Various Expectation-Maximization (EM) algorithms are implemented for item response theory (IRT) models. The current implementation includes IRT models for binary and ordinal responses, along with dynamic and hierarchical IRT models with binary responses. The latter two models are derived and implemented using variational EM. Subsequent edits also include variational network and text scaling models.
Author: Kosuke Imai <kimai@princeton.edu>, James Lo <jameslo@princeton.edu>, Jonathan Olmsted <jpolmsted@gmail.com>
Maintainer: James Lo <jameslo@princeton.edu>

Diff between emIRT versions 0.0.5 dated 2015-03-01 and 0.0.6 dated 2016-03-22

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 MD5                                    |   67 +++++++++++++++---
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 src/getVx_poisIRT.cpp                  |only
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 src/updateHigherMoments_endorseIRT.cpp |only
 src/updateHigherMoments_endorseIRT.h   |only
 58 files changed, 453 insertions(+), 34 deletions(-)

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New package CDROM with initial version 1.0
Package: CDROM
Type: Package
Title: Phylogenetically Classifies Retention Mechanisms of Duplicate Genes from Gene Expression Data
Version: 1.0
Date: 2016-03-18
Author: Brent Perry <brp5173@psu.edu>, Raquel Assis <rassis@psu.edu>
Maintainer: Raquel Assis <rassis@psu.edu>
Depends: R (>= 3.2.0)
Imports: graphics, grDevices, stats, utils
Description: Classification is based on the recently developed phylogenetic approach by Assis and Bachtrog (2013). The method classifies the evolutionary mechanisms retaining pairs of duplicate genes (conservation, neofunctionalization, subfunctionalization, or specialization) by comparing gene expression profiles of duplicate genes in one species to those of their single- copy ancestral genes in a sister species.
License: GPL-2
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-03-22 19:46:23 UTC; brp5173
Repository: CRAN
Date/Publication: 2016-03-23 00:10:02

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Package Bolstad updated to version 0.2-32 with previous version 0.2-30 dated 2016-03-17

Title: Functions for Elementary Bayesian Inference
Description: A set of R functions and data sets for the book Introduction to Bayesian Statistics, Bolstad, W.M. (2007), John Wiley & Sons ISBN 0-471-27020-2.
Author: James Curran <j.curran@auckland.ac.nz>
Maintainer: James Curran <j.curran@auckland.ac.nz>

Diff between Bolstad versions 0.2-30 dated 2016-03-17 and 0.2-32 dated 2016-03-22

 DESCRIPTION               |    8 
 MD5                       |   18 -
 NAMESPACE                 |   49 ---
 R/as.data.frame.Bolstad.R |    2 
 R/bayes.lin.reg.r         |  743 +++++++++++++++++++++++-----------------------
 R/nvaricp.r               |  440 +++++++++++++--------------
 R/quantile.Bolstad.R      |    1 
 R/sd.R                    |    5 
 R/var.R                   |    1 
 man/nvaricp.Rd            |   41 --
 10 files changed, 617 insertions(+), 691 deletions(-)

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Package clere updated to version 1.1.4 with previous version 1.1.3 dated 2016-03-09

Title: Simultaneous Variables Clustering and Regression
Description: Implements an empirical Bayes approach for simultaneous variable clustering and regression. This version also (re)implements in C++ an R script proposed by Howard Bondell that fits the Pairwise Absolute Clustering and Sparsity (PACS) methodology (see Sharma et al (2013) <DOI:10.1080/15533174.2012.707849>).
Author: Loic Yengo, Mickael Canouil
Maintainer: Loic Yengo <loic.yengo@gmail.com>

Diff between clere versions 1.1.3 dated 2016-03-09 and 1.1.4 dated 2016-03-22

 clere-1.1.3/clere/man/is.clere.Rd           |only
 clere-1.1.4/clere/DESCRIPTION               |    8 
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 clere-1.1.4/clere/R/Clere.R                 |   17 --
 clere-1.1.4/clere/R/fitClere.R              |  226 ++++++++++++++--------------
 clere-1.1.4/clere/build/vignette.rds        |binary
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 clere-1.1.4/clere/data/numExpRealData.RData |binary
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 clere-1.1.4/clere/man/clere-package.Rd      |    4 
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 clere-1.1.4/clere/vignettes/clere.Rnw       |   24 +-
 15 files changed, 164 insertions(+), 175 deletions(-)

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Package RSQLServer updated to version 0.2.0 with previous version 0.1.1 dated 2014-10-10

Title: SQL Server R Database Interface (DBI) and dplyr SQL Backend
Description: Utilises The jTDS Project's JDBC 3.0 SQL Server driver to extend the RJDBC classes and DBI methods. It defines a SQLServerDriver, SQLServerConnection & SQLServerRsult S4 classes as extensions of the RJDBC equivalent classes with most DBI methods being thin extensions of the methods defined by RJDBC classes. However, the dbConnect interface is more convenient, and the data reading and writing capabilities found in RJDBC's fetch and dbWriteTable methods have been refined. The package also implements a SQL backend to the dplyr package.
Author: Imanuel Costigan [aut, cre], The jTDS Project (for MSSQL Server driver) [aut], Simon Urbanek [ctb], Hadley Wickham [ctb], Romain Francois [ctb], RStudio [cph], The Legion Of The Bouncy Castle [cph, ctb]
Maintainer: Imanuel Costigan <i.costigan@me.com>

Diff between RSQLServer versions 0.1.1 dated 2014-10-10 and 0.2.0 dated 2016-03-22

 RSQLServer-0.1.1/RSQLServer/NEWS                                                    |only
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 RSQLServer-0.2.0/RSQLServer/R/RSQLServer.R                                          |   19 
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Package inpdfr updated to version 0.1.2 with previous version 0.1.1 dated 2016-02-24

Title: Analyse Text Documents Using Ecological Tools
Description: A set of functions and a graphical user interface to analyse and compare texts, using classical text mining functions, as well as those from theoretical ecology.
Author: Rebaudo Francois (IRD, UMR EGCE, Univ.ParisSud-CNRS-IRD- Univ.ParisSaclay)
Maintainer: Rebaudo Francois <francois.rebaudo@ird.fr>

Diff between inpdfr versions 0.1.1 dated 2016-02-24 and 0.1.2 dated 2016-03-22

 DESCRIPTION                    |   10 
 MD5                            |   84 ++--
 NEWS.md                        |   10 
 R/inpdfr_ALL_quickFunctions.R  |  109 ++++-
 R/inpdfr_ANA_ECO_entropart.R   |  126 ++++--
 R/inpdfr_ANA_ECO_metacom.R     |   67 ++-
 R/inpdfr_ANA_barplot.R         |  102 +++--
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 R/inpdfr_ANA_correspAnalysis.R |   57 ++-
 R/inpdfr_ANA_freqWordCor.R     |  219 +++++++----
 R/inpdfr_ANA_hist.R            |   42 +-
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 R/inpdfr_ANA_wordcloud.R       |   55 +-
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Package ggpmisc updated to version 0.2.7 with previous version 0.2.6 dated 2016-02-25

Title: Miscellaneous Extensions to 'ggplot2'
Description: Extensions to 'ggplot2' respecting the grammar of graphics paradigm. Provides new statistics to locate and tag peaks and valleys in 2D plots, a statistics to add a label with the equation of a polynomial fitted with lm(), or R^2 or adjusted R^2 or information criteria for any model fitted with function lm(). Provides a function for flexibly converting time series to data frames suitable for plotting with ggplot(). In addition provides two statistics and two geometry useful for diagnosing what data are passed to compute_group() and compute_panel() functions and to geometries.
Author: Pedro J. Aphalo [aut, cre]
Maintainer: Pedro J. Aphalo <pedro.aphalo@helsinki.fi>

Diff between ggpmisc versions 0.2.6 dated 2016-02-25 and 0.2.7 dated 2016-03-22

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Mon, 21 Mar 2016

Package rNOMADS updated to version 2.2.0 with previous version 2.1.7 dated 2016-01-14

Title: An Interface to the NOAA Operational Model Archive and Distribution System
Description: An interface to the National Oceanic and Atmospheric Administration's Operational Model Archive and Distribution System (NOMADS) that allows R users to quickly and efficiently download global and regional weather model data for processing. rNOMADS currently supports a variety of models ranging from global weather data to an altitude of 40 km, to high resolution regional weather models, to wave and sea ice models. It can also retrieve archived NOMADS models. rNOMADS can retrieve binary data in grib format as well as import ascii data directly into R by interfacing with the GrADS-DODS system.
Author: Daniel C. Bowman [aut, cre]
Maintainer: Daniel C. Bowman <danny.c.bowman@gmail.com>

Diff between rNOMADS versions 2.1.7 dated 2016-01-14 and 2.2.0 dated 2016-03-21

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New package MGGM with initial version 1.0
Package: MGGM
Type: Package
Title: Structural Pursuit Over Multiple Undirected Graphs
Version: 1.0
Suggests: MASS
Date: 2016-03-13
Author: Yunzhang Zhu, Xiaotong Shen, Wei Pan, Yiwen Sun
Maintainer: Yiwen Sun <sunxx847@umn.edu>
Description: Implement algorithms to recover multiple networks by pursuit of both sparseness and cluster.
License: GPL-2
NeedsCompilation: yes
Packaged: 2016-03-21 18:19:24 UTC; sunxx847
Repository: CRAN
Date/Publication: 2016-03-22 00:22:19

More information about MGGM at CRAN
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Package EMbC updated to version 1.9.4 with previous version 1.9.3 dated 2015-07-28

Title: Expectation-Maximization Binary Clustering
Description: Unsupervised, multivariate, clustering algorithm for meaningful binary clustering and taking into account the uncertainty in the data. A specific constructor for trajectory movement analysis yields behavioural annotation of the tracks based on estimated local measures of velocity and turning angle, eventually with solar position covariate as a daytime indicator.
Author: Joan Garriga, John R.B. Palmer, Aitana Oltra, Frederic Bartumeus
Maintainer: Joan Garriga <jgarriga@ceab.csic.es>

Diff between EMbC versions 1.9.3 dated 2015-07-28 and 1.9.4 dated 2016-03-21

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Package aSPU updated to version 1.41 with previous version 1.40 dated 2016-02-18

Title: Adaptive Sum of Powered Score Test
Description: R codes for the (adaptive) Sum of Powered Score ('SPU' and 'aSPU') tests, inverse variance weighted Sum of Powered score ('SPUw' and 'aSPUw') tests and gene-based and some pathway based association tests (Pathway based Sum of Powered Score tests ('SPUpath'), adaptive 'SPUpath' ('aSPUpath') test, 'GEEaSPU' test for multiple traits - single 'SNP' (single-nucleotide-polymorphism) association in generalized estimation equations, 'MTaSPUs' test for multiple traits - single 'SNP' association with Genome Wide Association Studies ('GWAS') summary statistics, Gene-based Association Test that uses an extended Simes procedure ('GATES'), Hybrid Set-based Test ('HYST') and extended version of 'GATES' test for pathway-based association testing ('GATES-Simes'). ). The tests can be used with genetic and other data sets with covariates. The response variable is binary or quantitative. Summary; (1) Single trait-'SNP' set association with individual-level data ('aSPU', 'aSPUw'), (2) Single trait-'SNP' set association with summary statistics ('aSPUs'), (3) Single trait-pathway association with individual-level data ('aSPUpath'), (4) Single trait-pathway association with summary statistics ('aSPUsPath'), (5) Multiple traits-single 'SNP' association with individual-level data ('GEEaSPU'), (6) Multiple traits-single SNP association with summary statistics ('MTaSPUs').
Author: Il-Youp Kwak and others (See Author(s) in each function manual)
Maintainer: Il-Youp Kwak <ikwak@umn.edu>

Diff between aSPU versions 1.40 dated 2016-02-18 and 1.41 dated 2016-03-21

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Package TwoStepCLogit updated to version 1.2.5 with previous version 1.2.4 dated 2015-12-07

Title: Conditional Logistic Regression: A Two-Step Estimation Method
Description: Conditional logistic regression with longitudinal follow up and individual-level random coefficients: A stable and efficient two-step estimation method.
Author: Radu V. Craiu, Thierry Duchesne, Daniel Fortin and Sophie Baillargeon
Maintainer: Thierry Duchesne <thierry.duchesne@mat.ulaval.ca>

Diff between TwoStepCLogit versions 1.2.4 dated 2015-12-07 and 1.2.5 dated 2016-03-21

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New package VSE with initial version 0.99
Package: VSE
Type: Package
Title: Variant Set Enrichment
Version: 0.99
Date: 2016-03-03
Author: Musaddeque Ahmed <musa.ahmed@utoronto.ca>
Maintainer: Hansen He <hansenhe@uhnresearch.ca>
Description: Calculates the enrichment of associated variant set (AVS) for an array of genomic regions. The AVS is the collection of disjoint LD blocks computed from a list of disease associated SNPs and their linked (LD) SNPs. VSE generates a null distribution of matched random variant sets (MRVSs) from 1000 Genome Project Phase III data that are identical to AVS, LD block by block. It then computes the enrichment of AVS intersecting with user provided genomic features (e.g., histone marks or transcription factor binding sites) compared with the null distribution.
License: GPL-3
LazyData: TRUE
RoxygenNote: 5.0.1.9000
Depends: GenomicRanges
Suggests: knitr, rmarkdown, ggplot2
Imports: igraph, car, IRanges, parallel
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2016-03-21 18:34:41 UTC; musaahmed
Repository: CRAN
Date/Publication: 2016-03-21 23:10:53

More information about VSE at CRAN
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Package mongolite updated to version 0.8.1 with previous version 0.8 dated 2016-01-23

Title: Fast and Simple MongoDB Client for R
Description: High-level, high-performance MongoDB client based on libmongoc and jsonlite. Includes support for aggregation, indexing, map-reduce, streaming, SSL encryption and SASL authentication. The vignette gives a brief overview of the available methods in the package.
Author: Jeroen Ooms [aut, cre], MongoDB, Inc [cph] (Author of mongo-c-driver)
Maintainer: Jeroen Ooms <jeroen.ooms@stat.ucla.edu>

Diff between mongolite versions 0.8 dated 2016-01-23 and 0.8.1 dated 2016-03-21

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Package MonetDB.R updated to version 1.0.1 with previous version 1.0.0 dated 2015-11-25

Title: Connect MonetDB to R
Description: Allows to pull data from MonetDB into R. Includes a DBI implementation and a dplyr backend.
Author: Hannes Muehleisen [aut, cre], Anthony Damico [aut], Thomas Lumley [ctb]
Maintainer: Hannes Muehleisen <hannes@cwi.nl>

Diff between MonetDB.R versions 1.0.0 dated 2015-11-25 and 1.0.1 dated 2016-03-21

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Package manifestoR updated to version 1.2 with previous version 1.1-1 dated 2015-11-12

Title: Access and Process Data and Documents of the Manifesto Project
Description: Provides access to coded election programmes from the Manifesto Corpus and to the Manifesto Project's Main Dataset and routines to analyse this data. The Manifesto Project (https://manifesto-project.wzb.eu) collects and analyses election programmes across time and space to measure the political preferences of parties. The Manifesto Corpus contains the collected and annotated election programmes in the Corpus format of the package 'tm' to enable easy use of text processing and text mining functionality. Specific functions for scaling of coded political texts are included.
Author: Jirka Lewandowski [aut, cre], Nicolas Merz [aut], Sven Regel [ctb], Pola Lehmann [ctb]
Maintainer: Jirka Lewandowski <jirka.lewandowski@wzb.eu>

Diff between manifestoR versions 1.1-1 dated 2015-11-12 and 1.2 dated 2016-03-21

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Package Kernelheaping updated to version 1.5 with previous version 1.2 dated 2015-12-07

Title: Kernel Density Estimation for Heaped and Rounded Data
Description: In self-reported or anonymised data the user often encounters heaped data, i.e. data which are rounded (to a possibly different degree of coarseness). While this is mostly a minor problem in parametric density estimation the bias can be very large for non-parametric methods such as kernel density estimation. This package implements a partly Bayesian algorithm treating the true unknown values as additional parameters and estimates the rounding parameters to give a corrected kernel density estimate. It supports various standard bandwidth selection methods. Varying rounding probabilities (depending on the true value) and asymmetric rounding is estimable as well. Additionally, bivariate non-parametric density estimation for rounded data is supported.
Author: Marcus Gross
Maintainer: Marcus Gross <marcus.gross@fu-berlin.de>

Diff between Kernelheaping versions 1.2 dated 2015-12-07 and 1.5 dated 2016-03-21

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Package inbreedR updated to version 0.3.1 with previous version 0.3.0 dated 2015-11-30

Title: Analysing Inbreeding Based on Genetic Markers
Description: A framework for analysing inbreeding and heterozygosity-fitness correlations (HFCs) based on microsatellite and SNP markers.
Author: Martin A. Stoffel [aut, cre], Mareike Esser [aut], Joseph Hoffman [aut], Marty Kardos [aut]
Maintainer: Martin A. Stoffel <martin.adam.stoffel@gmail.com>

Diff between inbreedR versions 0.3.0 dated 2015-11-30 and 0.3.1 dated 2016-03-21

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Package IMak updated to version 1.1.1 with previous version 1.1.0 dated 2016-03-03

Title: Item Maker
Description: This is an Automatic Item Generator for Psychological Testing. It is recommended for research purposes only.
Author: Diego Blum [aut, cre]
Maintainer: Diego Blum <blumworx@gmail.com>

Diff between IMak versions 1.1.0 dated 2016-03-03 and 1.1.1 dated 2016-03-21

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New package ICGOR with initial version 1.0
Package: ICGOR
Type: Package
Title: Fit Generalized Odds Rate Hazards Model with Interval Censored Data
Version: 1.0
Date: 2016-03-19
Author: Jie Zhou, Jiajia Zhang, Wenbin Lu
Maintainer: Jie Zhou <zhoujie02569@gmail.com>
Description: Generalized Odds Rate Hazards (GORH) model is a flexible model of fitting survival data, including the Proportional Hazards (PH) model and the Proportional Odds (PO) Model as special cases. This package fit the GORH model with interval censored data.
License: GPL (>= 2)
Depends: R (>= 2.15.0),stats,graphics,survival,ICsurv,pracma,MASS
NeedsCompilation: no
Packaged: 2016-03-21 13:52:23 UTC; gazhou
Repository: CRAN
Date/Publication: 2016-03-21 23:35:04

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Package htmltools updated to version 0.3.5 with previous version 0.3 dated 2015-12-29

Title: Tools for HTML
Description: Tools for HTML generation and output.
Author: RStudio, Inc.
Maintainer: Joe Cheng <joe@rstudio.com>

Diff between htmltools versions 0.3 dated 2015-12-29 and 0.3.5 dated 2016-03-21

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Package heavy updated to version 0.3 with previous version 0.2-35 dated 2014-09-01

Title: Robust Estimation Using Heavy-Tailed Distributions
Description: Functions to perform robust estimation considering heavy-tailed distributions. Currently, the package includes linear regression, linear mixed-effect models, multivariate location and scatter estimation, multivariate regression, penalized splines and random variate generation.
Author: Felipe Osorio
Maintainer: Felipe Osorio <felipe.osorio@ucv.cl>

Diff between heavy versions 0.2-35 dated 2014-09-01 and 0.3 dated 2016-03-21

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Package hdi updated to version 0.1-6 with previous version 0.1-5 dated 2016-03-11

Title: High-Dimensional Inference
Description: Implementation of multiple approaches to perform inference in high-dimensional models.
Author: Lukas Meier [aut, cre], Ruben Dezeure [aut], Nicolai Meinshausen [aut], Martin Maechler [aut], Peter Buehlmann [aut]
Maintainer: Lukas Meier <meier@stat.math.ethz.ch>

Diff between hdi versions 0.1-5 dated 2016-03-11 and 0.1-6 dated 2016-03-21

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New package GORCure with initial version 1.0
Package: GORCure
Type: Package
Title: Fit Generalized Odds Rate Mixture Cure Model with Interval Censored Data
Version: 1.0
Date: 2016-03-07
Author: Jie Zhou, Jiajia Zhang, Wenbin Lu
Maintainer: Jie Zhou <zhoujie02569@gmail.com>
Description: Generalized Odds Rate Mixture Cure (GORMC) model is a flexible model of fitting survival data with a cure fraction, including the Proportional Hazards Mixture Cure (PHMC) model and the Proportional Odds Mixture Cure Model as special cases. This package fit the GORMC model with interval censored data.
License: GPL (>= 2)
Depends: R (>= 2.15.0),stats,graphics,survival,ICsurv,pracma,MASS
NeedsCompilation: no
Packaged: 2016-03-21 13:53:35 UTC; gazhou
Repository: CRAN
Date/Publication: 2016-03-21 22:58:51

More information about GORCure at CRAN
Permanent link

Package bioinactivation updated to version 1.1.2 with previous version 1.1.1 dated 2016-02-04

Title: Simulation of Dynamic Microbial Inactivation
Description: Prediction and adjustment to experimental data of microbial inactivation. Several models available in the literature are implemented.
Author: Alberto Garre [aut, cre], Pablo S. Fernandez [aut], Jose A. Egea [aut]
Maintainer: Alberto Garre <garre.alberto@gmail.com>

Diff between bioinactivation versions 1.1.1 dated 2016-02-04 and 1.1.2 dated 2016-03-21

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Package apc updated to version 1.2 with previous version 1.1 dated 2015-04-13

Title: Age-Period-Cohort Analysis
Description: Functions for age-period-cohort analysis. The data can be organised in matrices indexed by age-cohort, age-period or cohort-period. The data can include dose and response or just doses. The statistical model is a generalized linear model (GLM) allowing for 3,2,1 or 0 of the age-period-cohort factors. The canonical parametrisation of Kuang, Nielsen and Nielsen (2008) is used. Thus, the analysis does not rely on ad hoc identification.
Author: Bent Nielsen
Maintainer: Bent Nielsen <bent.nielsen@nuffield.ox.ac.uk>

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Package ELT updated to version 1.5 with previous version 1.4 dated 2015-09-03

Title: Experience Life Tables
Description: Build experience life tables.
Author: Julien Tomas, Frederic Planchet, Wassim Youssef
Maintainer: Wassim Youssef <Wassim.G.Youssef@gmail.com>

Diff between ELT versions 1.4 dated 2015-09-03 and 1.5 dated 2016-03-21

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Package clickstream updated to version 1.1.7 with previous version 1.1.6 dated 2016-01-08

Title: Analyzes Clickstreams Based on Markov Chains
Description: A set of tools to read, analyze and write lists of click sequences on websites (i.e., clickstream). A click can be represented by a number, character or string. Clickstreams can be modeled as zero- (only computes occurrence probabilities), first- or higher-order Markov chains.
Author: Michael Scholz
Maintainer: Michael Scholz <michael.scholz@uni-passau.de>

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Sun, 20 Mar 2016

Package wq updated to version 0.4.6 with previous version 0.4.5 dated 2015-12-21

Title: Exploring Water Quality Monitoring Data
Description: Functions to assist in the processing and exploration of data from environmental monitoring programs. The package name stands for "water quality" and reflects the original focus on time series data for physical and chemical properties of water, as well as the biota. Intended for programs that sample approximately monthly, quarterly or annually at discrete stations, a feature of many legacy data sets. Most of the functions should be useful for analysis of similar-frequency time series regardless of the subject matter.
Author: Alan D. Jassby and James E. Cloern
Maintainer: Alan Jassby <wq@fastmail.net>

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Package SocialMediaMineR updated to version 0.3 with previous version 0.2 dated 2016-01-15

Title: A Social Media Search and Analytic Tool
Description: Social media search and analytic tool that takes one or multiple URL(s) and returns the information about the popularity and reach of the URL(s) on social media. The function get_socialmedia() retrieves the number of shares, likes, pins, and hits on Facebook (www.facebook.com), Pinterest (www.pinterest.com), StumbleUpon (www.stumbleupon.com), LinkedIn (www.linkedin.com), and Reddit (www.reddit.com). The package also includes dedicated functions for each social network platform and a function to resolve shortened URLs.
Author: Marco T. Bastos
Maintainer: Marco T. Bastos <marco@toledobastos.com>

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Package lira updated to version 1.2.0 with previous version 1.0 dated 2015-09-17

Title: LInear Regression in Astronomy
Description: Performs Bayesian linear regression in astronomy. The method accounts for heteroscedastic errors in both the independent and the dependent variables, intrinsic scatters (in both variables), time evolution of slopes, normalization and scatters, Malmquist and Eddington bias, and break of linearity. The posterior distribution of the regression parameters is sampled with a Gibbs method exploiting the JAGS library.
Author: Mauro Sereno
Maintainer: Mauro Sereno <mauro.sereno@unibo.it>

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Package installr updated to version 0.17.5 with previous version 0.17.4 dated 2016-03-19

Title: Using R to Install Stuff (Such As: R, Rtools, RStudio, Git, and More!)
Description: R is great for installing software. Through the 'installr' package you can automate the updating of R (on Windows, using updateR()) and install new software. Software installation is initiated through a GUI (just run installr()), or through functions such as: install.Rtools(), install.pandoc(), install.git(), and many more. The updateR() command performs the following: finding the latest R version, downloading it, running the installer, deleting the installation file, copy and updating old packages to the new R installation.
Author: Tal Galili [aut, cre, cph] (http://www.r-statistics.com), Barry Rowlingson [ctb], Boris Hejblum [ctb], Dason [ctb], Felix Schonbrodt [ctb], G. Grothendieck [ctb], GERGELY DAROCZI [ctb], Heuristic Andrew [ctb], James [ctb] (http://stackoverflow.com/users/269476/james), Thomas Leeper [ctb] (http://thomasleeper.com/), VitoshKa [ctb], Yihui Xie [ctb] (http://yihui.name), Michael Friendly [ctb] (http://datavis.ca/), Kornelius Rohmeyer [ctb] (http://algorithm-forge.com/techblog/), Dieter Menne [ctb], Tyler Hunt [ctb] (https://github.com/JackStat), Takekatsu Hiramura [ctb] (https://github.com/hiratake55), Berry Boessenkool [ctb] (https://github.com/BerryBoessenkool)
Maintainer: Tal Galili <tal.galili@gmail.com>

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Package getMet updated to version 0.3.2 with previous version 0.2.1 dated 2015-11-13

Title: Get Meteorological Data for Hydrologic Models
Description: Hydrologic models often require users to collect and format input meteorological data. This package contains functions for sourcing, formatting, and editing meteorological data for hydrologic models.
Author: Andrew Sommerlot [aut, cre], Daniel Fuka [aut], Zachary Easton [aut]
Maintainer: Andrew Sommerlot <andrewrs@vt.edu>

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Package dtwclust updated to version 2.1.1 with previous version 2.1.0 dated 2016-02-21

Title: Time Series Clustering Along with Optimizations for the Dynamic Time Warping Distance
Description: Time series clustering along with optimized techniques related to the Dynamic Time Warping distance and its corresponding lower bounds. Implementations of k-Shape, TADPole and fuzzy clustering are available. The functionality can be easily extended with custom distance measures and centroid definitions.
Author: Alexis Sarda-Espinosa
Maintainer: Alexis Sarda <alexis.sarda@gmail.com>

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Package TTR updated to version 0.23-1 with previous version 0.23-0 dated 2015-07-10

Title: Technical Trading Rules
Description: Functions and data to construct technical trading rules with R.
Author: Joshua Ulrich
Maintainer: Joshua Ulrich <josh.m.ulrich@gmail.com>

Diff between TTR versions 0.23-0 dated 2015-07-10 and 0.23-1 dated 2016-03-20

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Package wikipediatrend updated to version 1.1.10 with previous version 1.1.7 dated 2015-09-23

Title: Public Subject Attention via Wikipedia Page View Statistics
Description: Public attention is an interesting field of study. The internet not only allows to access information in no time on virtually any subject but via page access statistics gathered by website authors the subject of attention as well can be studied. For the omnipresent Wikipedia those access statistics are made available via 'http://stats.grok.se' a server providing the information as file dumps as well as as web API. This package provides an easy to use, consistent and traffic minimizing approach to make those data accessible within R.
Author: Peter Meissner [aut, cre], R Core Team [ctb]
Maintainer: Peter Meissner <retep.meissner@gmail.com>

Diff between wikipediatrend versions 1.1.7 dated 2015-09-23 and 1.1.10 dated 2016-03-20

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New package tttplot with initial version 1.0
Package: tttplot
Type: Package
Title: Time to Target Plot
Version: 1.0
Date: 2016-03-18
Author: Carlos A. Martinez [aut, cre] based on the work of Ribeiro and Rosseti (2015).
Maintainer: Carlos A. Martinez <amartin@unal.edu.co>
Description: Implementation of Time to Target plot based on the work of Ribeiro and Rosseti (2015) <DOI:10.1007/s11590-014-0760-8>, that describe a numerical method that gives the probability of an algorithm A finds a solution at least as good as a given target value in smaller computation time than algorithm B.
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2016-03-20 12:55:42 UTC; CarlMaMr
Repository: CRAN
Date/Publication: 2016-03-20 16:54:53

More information about tttplot at CRAN
Permanent link

New package TideCurves with initial version 0.0.1
Package: TideCurves
Type: Package
Title: Analysis and Prediction of Tides
Version: 0.0.1
Author: Moritz Mueller-Navarra [aut, cre], Sylvin Mueller-Navarra [aut]
Maintainer: Moritz Mueller-Navarra <muellernavarra@gmail.com>
Description: Tidal analysis of evenly spaced observed time series (time step 1 to 60 min) with or without shorter gaps. The analysis should preferably cover an observation period of at least 19 years. For shorter periods low frequency constituents are not taken into account, in accordance with the Rayleigh-Criterion. The main objective of this package is to synthesize or predict a tidal time series.
License: GPL-3
LazyData: TRUE
Imports: chron (>= 2.3-47), data.table (>= 1.9.6), fields (>= 8.3-6)
Depends: R (>= 3.2.2)
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-03-15 15:28:44 UTC; Moe
Repository: CRAN
Date/Publication: 2016-03-20 16:45:00

More information about TideCurves at CRAN
Permanent link

Package ShapeChange updated to version 1.3 with previous version 1.2 dated 2016-01-14

Title: Change-Point Estimation using Shape-Restricted Splines
Description: In a scatterplot where the response variable is Gaussian, Poisson or binomial, we consider the case in which the mean function is smooth with a change-point, which is a mode, an inflection point or a jump point. The main routine estimates the mean curve and the change-point as well using shape-restricted B-splines. An optional subroutine delivering a bootstrap confidence interval for the change-point is incorporated in the main routine.
Author: Xiyue Liao and Mary C Meyer
Maintainer: Xiyue Liao <xiyue@rams.colostate.edu>

Diff between ShapeChange versions 1.2 dated 2016-01-14 and 1.3 dated 2016-03-20

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New package rsconnect with initial version 0.4.2
Package: rsconnect
Type: Package
Title: Deployment Interface for R Markdown Documents and Shiny Applications
Version: 0.4.2
Date: 2016-03-18
Author: JJ Allaire
Maintainer: JJ Allaire <jj@rstudio.com>
Description: Programmatic deployment interface for 'RPubs', 'shinyapps.io', and 'RStudio Connect'. Supported content types include R Markdown documents, Shiny applications, plots, and static web content.
Depends: R (>= 3.0.0)
Imports: digest, PKI, RCurl, RJSONIO, packrat (>= 0.4.7), yaml (>= 2.1.5), rstudioapi (>= 0.5)
Suggests: scrypt, knitr, testthat, rmarkdown (>= 0.9.2)
Enhances: BiocInstaller
License: GPL-2
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-03-20 11:36:26 UTC; jjallaire
Repository: CRAN
Date/Publication: 2016-03-20 16:59:08

More information about rsconnect at CRAN
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Package markmyassignment updated to version 0.5.0 with previous version 0.4.0 dated 2016-01-18

Title: Automatic Marking of R Assignments
Description: Automatic marking of R assignments for students and teachers based on 'testthat' test suites.
Author: Mans Magnusson, Oscar Pettersson
Maintainer: Mans Magnusson <mons.magnusson@gmail.com>

Diff between markmyassignment versions 0.4.0 dated 2016-01-18 and 0.5.0 dated 2016-03-20

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Package itsadug updated to version 2.0 with previous version 1.0.1 dated 2015-07-02

Title: Interpreting Time Series and Autocorrelated Data Using GAMMs
Description: GAMM (Generalized Additive Mixed Modeling; Lin & Zhang, 1999) as implemented in the R package mgcv (Wood, S.N., 2006; 2011) is a nonlinear regression analysis which is particularly useful for time course data such as EEG, pupil dilation, gaze data (eye tracking), and articulography recordings, but also for behavioral data such as reaction times and response data. As time course measures are sensitive to autocorrelation problems, GAMMs implements methods to reduce the autocorrelation problems. This package includes functions for the evaluation of GAMM models (e.g., model comparisons, determining regions of significance, inspection of autocorrelational structure in residuals) and interpreting of GAMMs (e.g., visualization of complex interactions, and contrasts).
Author: Jacolien van Rij [aut, cre], Martijn Wieling [aut], R. Harald Baayen [aut], Hedderik van Rijn [ctb]
Maintainer: Jacolien van Rij <vanrij.jacolien@gmail.com>

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Package heemod updated to version 0.3.0 with previous version 0.2.0 dated 2016-02-08

Title: Models for Health Economic Evaluation
Description: Health Economic Evaluation Modelling. Markov models (homogeneous and non-homogeneous) for health economic evaluation. Model comparison, sensitivity and probabilistic analysis.
Author: Kevin Zarca [aut], Antoine Filipovic-Pierucci [aut,cre]
Maintainer: Antoine Filipovic-Pierucci <pierucci@gmail.com>

Diff between heemod versions 0.2.0 dated 2016-02-08 and 0.3.0 dated 2016-03-20

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Package HDInterval updated to version 0.1.2 with previous version 0.1.1 dated 2016-02-17

Title: Highest (Posterior) Density Intervals
Description: A generic function and a set of methods to calculate highest density intervals for a variety of classes of objects which can specify a probability density distribution, including MCMC output, fitted density objects, and functions.
Author: Mike Meredith and John Kruschke
Maintainer: Mike Meredith <mmeredith@wcs.org>

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Package bayesDem updated to version 2.5-0 with previous version 2.4-1 dated 2014-04-29

Title: Graphical User Interface for bayesTFR, bayesLife and bayesPop
Description: Provides graphical user interface for the packages 'bayesTFR', 'bayesLife' and 'bayesPop'.
Author: Hana Sevcikova <hanas@uw.edu>
Maintainer: Hana Sevcikova <hanas@uw.edu>

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Sat, 19 Mar 2016

Package interpretR updated to version 0.2.4 with previous version 0.2.3 dated 2015-06-23

Title: Binary Classifier and Regression Model Interpretation Functions
Description: Compute permutation- based performance measures and create partial dependence plots for (cross-validated) 'randomForest' and 'ada' models.
Author: Michel Ballings and Dirk Van den Poel
Maintainer: Michel Ballings <michel.ballings@GMail.com>

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Package internetarchive updated to version 0.1.5 with previous version 0.1.4 dated 2015-09-28

Title: An API Client for the Internet Archive
Description: Search the Internet Archive, retrieve metadata, and download files.
Author: Lincoln Mullen [aut, cre]
Maintainer: Lincoln Mullen <lincoln@lincolnmullen.com>

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Package hunspell updated to version 1.2 with previous version 1.1 dated 2016-03-12

Title: Morphological Analysis and Spell Checker for R
Description: A spell checker and morphological analyzer library designed for languages with rich morphology and complex word compounding or character encoding. The package can check and analyze individual words as well as search for incorrect words within a text, latex or manual document.
Author: Jeroen Ooms
Maintainer: Jeroen Ooms <jeroen.ooms@stat.ucla.edu>

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Package GlobalOptions updated to version 0.0.9 with previous version 0.0.8 dated 2015-08-18

Title: Generate Functions to Get or Set Global Options
Description: It provides more controls on the option values such as validation and filtering on the values, making options invisible or private.
Author: Zuguang Gu
Maintainer: Zuguang Gu <z.gu@dkfz.de>

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Package EMMAgeo updated to version 0.9.4 with previous version 0.9.1 dated 2013-10-14

Title: End-Member Modelling of Grain-Size Data
Description: End-member modelling analysis of grain-size data.
Author: Michael Dietze, Elisabeth Dietze
Maintainer: Michael Dietze <mdietze@gfz-potsdam.de>

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Package decctools (with last version 0.2.1) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2015-06-10 0.2.1
2014-08-04 0.2.0
2014-05-07 0.1.6
2014-01-23 0.1.5
2014-01-07 0.1.4
2013-11-18 0.1.3
2013-10-01 0.1.2
2013-06-26 0.1.1
2013-06-24 0.1.0

Permanent link
New package uroot with initial version 2.0-5
Package: uroot
Version: 2.0-5
Date: 2016-03-18
Title: Unit Root Tests for Seasonal Time Series
Author: Javier López-de-Lacalle <javlacalle@yahoo.es>
Maintainer: Javier López-de-Lacalle <javlacalle@yahoo.es>
Depends: R (>= 3.0.0), stats
SystemRequirements: nvcc (release >= 7.1) (NVIDIA Cuda Compiler driver); GNU make
Encoding: UTF-8
Description: Seasonal unit roots and seasonal stability tests. P-values based on response surface regressions are available for both tests. P-values based on bootstrap are available for seasonal unit root tests. A parallel implementation of the bootstrap method requires a CUDA capable GPU with compute capability >= 3.0, otherwise a debugging version fully coded in R is used.
NeedsCompilation: yes
LazyData: yes
LazyDataCompression: xz
License: GPL-2
URL: http://jalobe.com
Packaged: 2016-03-18 22:06:30 UTC; javlacalle
Repository: CRAN
Date/Publication: 2016-03-19 14:38:40

More information about uroot at CRAN
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Package shinyjs updated to version 0.5.0 with previous version 0.4.0 dated 2016-01-21

Title: Perform Common JavaScript Operations in Shiny Apps using Plain R Code
Description: Perform common JavaScript operations in Shiny applications without having to know any JavaScript. Examples include: hiding an element, disabling an input, resetting an input back to its original value, delaying code execution by a few seconds, and many more useful functions. 'shinyjs' also includes a colour picker widget, a colour picker RStudio addin, and can also be used to easily run your own custom JavaScript functions from R.
Author: Dean Attali [aut, cre]
Maintainer: Dean Attali <daattali@gmail.com>

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More information about shinyjs at CRAN
Permanent link

New package rfml with initial version 0.1.0
Package: rfml
Type: Package
Title: MarkLogic NoSQL Database Server in-Database Analytics for R
Version: 0.1.0
Authors@R: c(person("Mats", "Stellwall", email = "mats.stellwall@gmail.com", role = c("aut", "cre")), person("Abdulla", "Abdurakhmanov",role = "ctb", comment = "Code in xml2json.sjs is from https://code.google.com/p/x2js/"))
Author: Mats Stellwall [aut, cre], Abdulla Abdurakhmanov [ctb] (Code in xml2json.sjs is from https://code.google.com/p/x2js/)
Maintainer: Mats Stellwall <mats.stellwall@gmail.com>
Description: Functionality required to efficiently use R with MarkLogic NoSQL Database Server, <http://www.marklogic.com/what-is-marklogic/>. Many basic and complex R operations are pushed down into the database, which removes the main memory boundary of R and allows to make full use of MarkLogic server. In order to use the package you need a MarkLogic Server version 8 or higher.
URL: https://github.com/mstellwa/rfml
BugReports: https://github.com/mstellwa/rfml/issues
License: GPL-3
LazyData: TRUE
Imports: stats, utils, methods, httr, PKI, jsonlite, XML
Suggests: arules, testthat, knitr, rmarkdown
RoxygenNote: 5.0.1
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2016-03-18 20:04:48 UTC; mstellwa
Repository: CRAN
Date/Publication: 2016-03-19 14:33:13

More information about rfml at CRAN
Permanent link

Package installr updated to version 0.17.4 with previous version 0.17.0 dated 2015-09-14

Title: Using R to Install Stuff (Such As: R, Rtools, RStudio, Git, and More!)
Description: R is great for installing software. Through the 'installr' package you can automate the updating of R (on Windows, using updateR()) and install new software. Software installation is initiated through a GUI (just run installr()), or through functions such as: install.Rtools(), install.pandoc(), install.git(), and many more. The updateR() command performs the following: finding the latest R version, downloading it, running the installer, deleting the installation file, copy and updating old packages to the new R installation.
Author: Tal Galili [aut, cre, cph] (http://www.r-statistics.com), Barry Rowlingson [ctb], Boris Hejblum [ctb], Dason [ctb], Felix Schonbrodt [ctb], G. Grothendieck [ctb], GERGELY DAROCZI [ctb], Heuristic Andrew [ctb], James [ctb] (http://stackoverflow.com/users/269476/james), Thomas Leeper [ctb] (http://thomasleeper.com/), VitoshKa [ctb], Yihui Xie [ctb] (http://yihui.name), Michael Friendly [ctb] (http://datavis.ca/), Kornelius Rohmeyer [ctb] (http://algorithm-forge.com/techblog/), Dieter Menne [ctb], Tyler Hunt [ctb] (https://github.com/JackStat), Takekatsu Hiramura [ctb] (https://github.com/hiratake55), Berry Boessenkool [ctb] (https://github.com/BerryBoessenkool)
Maintainer: Tal Galili <tal.galili@gmail.com>

Diff between installr versions 0.17.0 dated 2015-09-14 and 0.17.4 dated 2016-03-19

 ChangeLog                                    |  158 +++++++++++++++++++++
 DESCRIPTION                                  |   10 -
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 99 files changed, 622 insertions(+), 389 deletions(-)

More information about installr at CRAN
Permanent link

New package KScorrect with initial version 1.2.0
Package: KScorrect
Type: Package
Title: Lilliefors-Corrected Kolmogorov-Smirnoff Goodness-of-Fit Tests
Version: 1.2.0
Depends: R (>= 3.1.0)
Imports: MASS (>= 7.3-44), mclust (>= 5.1)
Date: 2016-03-17
Author: Phil Novack-Gottshall, Steve C. Wang
Maintainer: Phil Novack-Gottshall <pnovack-gottshall@ben.edu>
Description: Implements the Lilliefors-corrected Kolmogorov-Smirnoff test for use in goodness-of-fit tests, suitable when population parameters are unknown and must be estimated by sample statistics. P-values are estimated by simulation. Can be used with a variety of continuous distributions, including normal, lognormal, univariate mixtures of normals, uniform, loguniform, exponential, gamma, and Weibull distributions. Functions to generate random numbers and calculate density, distribution, and quantile functions are provided for use with the log uniform and mixture distributions.
License: CC0
URL: https://github.com/pnovack-gottshall/KScorrect
BugReports: https://github.com/pnovack-gottshall/KScorrect/issues
LazyData: TRUE
RoxygenNote: 5.0.0
NeedsCompilation: no
Packaged: 2016-03-18 17:15:41 UTC; pnovack-gottshall
Repository: CRAN
Date/Publication: 2016-03-19 14:57:21

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Permanent link

Package hisse updated to version 1.5 with previous version 1.4 dated 2016-01-07

Title: Hidden State Speciation and Extinction
Description: Sets up and executes a HiSSE model (Hidden State Speciation and Extinction) on a phylogeny and character sets to test for hidden shifts in trait dependent rates of diversification.
Author: Jeremy M. Beaulieu <jbeaulieu@nimbios.org>, Brian O'Meara <bomeara@utk.edu>
Maintainer: Jeremy Beaulieu <jbeaulieu@nimbios.org>

Diff between hisse versions 1.4 dated 2016-01-07 and 1.5 dated 2016-03-19

 DESCRIPTION                  |    8 -
 MD5                          |   12 +-
 R/supportRegion.R            |   14 +--
 README.md                    |    2 
 inst/doc/hisse-vignette.Rmd  |   19 ++--
 inst/doc/hisse-vignette.html |  192 +++++++++++++++++++++++--------------------
 vignettes/hisse-vignette.Rmd |   19 ++--
 7 files changed, 143 insertions(+), 123 deletions(-)

More information about hisse at CRAN
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Package Rfmtool updated to version 1.2 with previous version 1.1 dated 2016-03-17

Title: Fuzzy Measure Tools for R
Description: Various tools for handling fuzzy measures, calculating Shapley value and Interaction index, Choquet and Sugeno integrals, as well as fitting fuzzy measures to empirical data are provided. Construction of fuzzy measures from empirical data is done by solving a linear programming problem by using 'lpsolve' package, whose source in C adapted to the R environment is included. The description of the basic theory of fuzzy measures is in the manual in the Doc folder in this package.
Author: Gleb Beliakov [aut, cre], Quan Vu [ctb], Andrei Kelarev [ctb], Michel Berkelaar [ctb], Kjell Eikland [ctb], Samuel E. Buttrey and others [ctb]
Maintainer: Gleb Beliakov <gleb@deakin.edu.au>

Diff between Rfmtool versions 1.1 dated 2016-03-17 and 1.2 dated 2016-03-19

 DESCRIPTION                 |    4 ++--
 MD5                         |    8 ++++----
 inst/doc/Rfmtool_manual.pdf |binary
 src/fuzzymeasurefit.cpp     |    8 ++++++++
 src/wrapper.cpp             |    2 +-
 5 files changed, 15 insertions(+), 7 deletions(-)

More information about Rfmtool at CRAN
Permanent link

New package mousetrap with initial version 1.0.0
Package: mousetrap
Type: Package
Version: 1.0.0
Date: 2016-03-19
Title: Process and Analyze Mouse-Tracking Data
Description: Mouse-tracking, the analysis of mouse movements in computerized experiments, is a method that is becoming increasingly popular in the cognitive sciences. The mousetrap package offers functions for importing, preprocessing, analyzing, aggregating, and visualizing mouse-tracking data.
Author: Pascal J. Kieslich [aut, cre], Felix Henninger [aut]
Maintainer: Pascal J. Kieslich <kieslich@psychologie.uni-mannheim.de>
Authors@R: c( person(c("Pascal","J."), "Kieslich", role= c("aut", "cre"), email= "kieslich@psychologie.uni-mannheim.de"), person("Felix", "Henninger", role = "aut", email= "mailbox@felixhenninger.com") )
URL: https://github.com/pascalkieslich/mousetrap
BugReports: https://github.com/pascalkieslich/mousetrap/issues
License: GPL-3
Depends: R (>= 3.1.0)
Imports: utils, stats, pracma, reshape2, graphics, grDevices, ggplot2, scales, psych (>= 1.2.4), diptest
Suggests: readbulk, testthat
LazyData: TRUE
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-03-18 23:43:27 UTC; Pascal
Repository: CRAN
Date/Publication: 2016-03-19 11:14:06

More information about mousetrap at CRAN
Permanent link

Package edgebundleR updated to version 0.1.4 with previous version 0.1.2 dated 2015-11-16

Title: Circle Plot with Bundled Edges
Description: Generates interactive circle plots with the nodes around the circumference and linkages between the connected nodes using hierarchical edge bundling via the D3 JavaScript library. See <http://d3js.org/> for more information on D3.
Author: Mike Bostock [aut, cph] (d3.js library and much of edgebundle code in htmlwidgets/lib, http://d3js.org), Ellis Patrick [aut], Kent Russell [ctb], Garth Tarr [aut, cre]
Maintainer: Garth Tarr <garth.tarr@gmail.com>

Diff between edgebundleR versions 0.1.2 dated 2015-11-16 and 0.1.4 dated 2016-03-19

 DESCRIPTION                       |   21 ++++++++++++++-------
 MD5                               |    9 ++++++---
 README.md                         |   12 ++++++++++--
 inst/htmlwidgets/edgebundleR.yaml |    5 ++++-
 inst/htmlwidgets/lib/d3           |only
 5 files changed, 34 insertions(+), 13 deletions(-)

More information about edgebundleR at CRAN
Permanent link

New package coop with initial version 0.3-0
Package: coop
Type: Package
Title: Co-Operation: Fast Covariance, Correlation, and Cosine Similarity Operations
Version: 0.3-0
Description: Fast implementations of the co-operations: covariance, correlation, and cosine similarity. The implementations are fast and memory-efficient and their use is resolved automatically based on the input data, handled by R's S3 methods. Full descriptions of the algorithms and benchmarks are available in the package vignettes.
License: BSD 2-clause License + file LICENSE
Depends: R (>= 3.0.0)
Enhances: slam (>= 0.1.32)
Suggests: memuse, microbenchmark, rbenchmark, knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: yes
ByteCompile: yes
URL: https://github.com/wrathematics/coop
BugReports: https://github.com/wrathematics/coop/issues
Authors@R: c(person("Drew", "Schmidt", role=c("aut", "cre"), email="wrathematics@gmail.com"), person("Christian", "Heckendorf", role="ctb", comment="Caught some memory errors."))
Maintainer: Drew Schmidt <wrathematics@gmail.com>
RoxygenNote: 5.0.1
Packaged: 2016-03-19 01:30:18 UTC; mschmid3
Author: Drew Schmidt [aut, cre], Christian Heckendorf [ctb] (Caught some memory errors.)
Repository: CRAN
Date/Publication: 2016-03-19 11:14:09

More information about coop at CRAN
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Package commentr updated to version 1.0.4 with previous version 1.0.1 dated 2015-08-19

Title: Print Nicely Formatted Comments for Use in Script Files
Description: Functions to produce nicely formatted comments to use in R-scripts (or Latex/HTML/markdown etc). A comment with formatting is printed to the console and can then be copied to a script.
Author: Erik Bulow
Maintainer: Erik Bulow <erik.bulow@rccvast.se>

Diff between commentr versions 1.0.1 dated 2015-08-19 and 1.0.4 dated 2016-03-19

 DESCRIPTION                          |   12 +++++-----
 MD5                                  |   23 ++++++++++---------
 NAMESPACE                            |    2 -
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 tests/testthat/test-help_functions.R |   21 ++++++++---------
 13 files changed, 66 insertions(+), 65 deletions(-)

More information about commentr at CRAN
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Package BrailleR updated to version 0.24.1 with previous version 0.24.0 dated 2016-03-17

Title: Improved Access for Blind Users
Description: Blind users do not have access to the graphical output from R without printing the content of graphics windows to an embosser of some kind. This is not as immediate as is required for efficient access to statistical output. The functions here are created so that blind people can make even better use of R. This includes the text descriptions of graphs, convenience functions to replace the functionality offered in many GUI front ends, and experimental functionality for optimising graphical content to prepare it for embossing as tactile images.
Author: A. Jonathan R. Godfrey [aut, cre], Duncan Murdoch [ctb], Greg Snow [ctb], Henrik Bengtsson [ctb], James Curtis [ctb], Paul Murrell [ctb], Timothy Bilton [ctb], Yihui Xie [ctb]
Maintainer: A. Jonathan R. Godfrey <a.j.godfrey@massey.ac.nz>

Diff between BrailleR versions 0.24.0 dated 2016-03-17 and 0.24.1 dated 2016-03-19

 DESCRIPTION                   |    8 +--
 MD5                           |   28 ++++++-------
 R/Options.R                   |   27 +++++++------
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 15 files changed, 150 insertions(+), 137 deletions(-)

More information about BrailleR at CRAN
Permanent link

Package vitality updated to version 1.2 with previous version 1.1 dated 2014-12-10

Title: Fitting Routines for the Vitality Family of Mortality Models
Description: Provides fitting routines for four versions of the Vitality family of mortality models.
Author: Gregor Passolt, James J. Anderson, Ting Li, David H. Salinger, David J. Sharrow
Maintainer: David J. Sharrow <dsharrow@uw.edu>

Diff between vitality versions 1.1 dated 2014-12-10 and 1.2 dated 2016-03-19

 DESCRIPTION         |    9 +--
 MD5                 |   54 ++++++++++--------
 NAMESPACE           |   21 ++++++-
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 32 files changed, 438 insertions(+), 205 deletions(-)

More information about vitality at CRAN
Permanent link

New package sitmo with initial version 1.0.0
Package: sitmo
Title: Parallel Pseudo Random Number Generator (PPRNG) 'sitmo' Header Files
Version: 1.0.0
Authors@R: c(person("James", "Balamuta", email = "balamut2@illinois.edu", role = c("aut", "cre")), person("Thijs","van den Berg", email = "thijs@sitmo.com", role = c("aut")))
Description: Provided within is a high quality and fast PPRNG that is able to be used in an 'OpenMP' parallel environment compiled under either C++98 or C++11. The objective of this package release is to consolidate the distribution of the 'sitmo' library on CRAN by enabling others to link to the 'sitmo' header file instead of including a copy of 'sitmo' within their individual package. Lastly, the package contains example implementations using 'sitmo' and two accompanying vignette that provide additional information.
Depends: R (>= 3.2.4)
URL: https://github.com/coatless/sitmo, http://www.sitmo.com/article/parallel-random-number-generator-in-c/
BugReports: https://github.com/coatless/sitmo/issues
License: MIT + file LICENSE
LazyData: true
LinkingTo: Rcpp
Imports: Rcpp (>= 0.12.3)
RoxygenNote: 5.0.1
Suggests: knitr, rmarkdown, ggplot2
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2016-03-18 22:10:17 UTC; james
Author: James Balamuta [aut, cre], Thijs van den Berg [aut]
Maintainer: James Balamuta <balamut2@illinois.edu>
Repository: CRAN
Date/Publication: 2016-03-19 09:51:16

More information about sitmo at CRAN
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New package rgho with initial version 0.0.1
Package: rgho
Title: Access WHO Global Health Observatory Data from R
Version: 0.0.1
Author: Antoine Filipovic-Pierucci [aut,cre]
Maintainer: Antoine Filipovic-Pierucci <pierucci@gmail.com>
Description: Access WHO Global Health Observatory data from R via the Athena web service, an application program interface providing a simple query interface to the World Health Organization's data and statistics content.
License: GPL (>= 3)
LazyData: TRUE
Depends: R (>= 3.2.2)
Imports: httr, curl, xml2, memoise, readr, magrittr, dplyr, tidyr, lazyeval
Suggests: testthat, knitr, rmarkdown
VignetteBuilder: knitr
RoxygenNote: 5.0.1
URL: https://github.com/pierucci/rgho, https://pierucci.github.io
BugReports: https://github.com/pierucci/rgho/issues
NeedsCompilation: no
Packaged: 2016-03-18 20:28:01 UTC; antoine
Repository: CRAN
Date/Publication: 2016-03-19 09:45:58

More information about rgho at CRAN
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Package NAM updated to version 1.4.4 with previous version 1.4.3 dated 2016-01-28

Title: Nested Association Mapping Analysis
Description: Designed for association studies in nested association mapping (NAM) panels, also handling biparental and random panels. It includes functions for genome-wide associations mapping of multiple populations, marker quality control, solving mixed models and finding variance components through REML and Gibbs sampling.
Author: Alencar Xavier, William Muir, Katy Rainey, Shizhong Xu.
Maintainer: Alencar Xavier <xaviera@purdue.edu>

Diff between NAM versions 1.4.3 dated 2016-01-28 and 1.4.4 dated 2016-03-19

 DESCRIPTION                       |   10 -
 MD5                               |   24 +-
 R/gibbs.R                         |  319 +++++++++++++++++++++++++++++++++++++-
 R/gwas3c.R                        |    4 
 R/wrapGE.R                        |  203 ++++++++++++++++++------
 inst/doc/Bioinformatics_2015.pdf  |only
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 man/Internals.Rd                  |    1 
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 14 files changed, 536 insertions(+), 248 deletions(-)

More information about NAM at CRAN
Permanent link

Package icenReg updated to version 1.3.4 with previous version 1.3.3 dated 2016-01-07

Title: Regression Models for Interval Censored Data
Description: Regression models for interval censored data. Currently supports Cox-PH and proportional odds models. Allows for both semi and fully parametric models. Includes functions for easy visual diagnostics of model fits and imputation of censored data. Includes fast algorithm for computing non-parametric maximum likelihood estimator.
Author: Clifford Anderson-Bergman; uses Marloes Maathuis's HeightMap algorithm (MLEcens::reduc)
Maintainer: Clifford Anderson-Bergman <pistacliffcho@gmail.com>

Diff between icenReg versions 1.3.3 dated 2016-01-07 and 1.3.4 dated 2016-03-19

 icenReg-1.3.3/icenReg/src/Eigen_local                            |only
 icenReg-1.3.4/icenReg/DESCRIPTION                                |   13 
 icenReg-1.3.4/icenReg/MD5                                        |  306 --------
 icenReg-1.3.4/icenReg/NAMESPACE                                  |    5 
 icenReg-1.3.4/icenReg/NEWS                                       |    8 
 icenReg-1.3.4/icenReg/R/Utilities.R                              |   59 +
 icenReg-1.3.4/icenReg/R/referenceClasses.R                       |   75 +-
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More information about icenReg at CRAN
Permanent link

Package gSeg updated to version 0.3 with previous version 0.2 dated 2015-11-08

Title: Graph-Based Change-Point Detection (g-Segmentation)
Description: Using an approach based on similarity graph to estimate change-point(s) and the corresponding p-values. Can be applied to any type of data (high-dimensional, non-Euclidean, etc.) as long as a reasonable similarity measure is available.
Author: Hao Chen and Nancy R. Zhang
Maintainer: Hao Chen <hxchen@ucdavis.edu>

Diff between gSeg versions 0.2 dated 2015-11-08 and 0.3 dated 2016-03-19

 DESCRIPTION |    8 ++++----
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More information about gSeg at CRAN
Permanent link

New package FlowScreen with initial version 0.9
Package: FlowScreen
Title: Daily Streamflow Trend and Change Point Screening
Version: 0.9
Authors@R: c(person("Jennifer", "Dierauer", role = c("aut", "cre"), email="jen.r.brand@gmail.com"), person("Paul", "Whitfield", role = "aut", email = "paul.whitfield@canada.ca"))
Description: Screens daily streamflow time series for temporal trends and change-points. This package has been primarily developed for assessing the quality of daily streamflow time series. It also contains tools for plotting and calculating many different streamflow metrics. The package can be used to produce summary screening plots showing change-points and significant temporal trends for high flow, low flow, and/or baseflow statistics, or it can be used to perform more detailed hydrological time series analyses. The package was designed for screening daily streamflow time series from Water Survey Canada and the United States Geological Survey but will also work with streamflow time series from many other agencies.
Depends: R (>= 3.0)
Imports: zyp, changepoint, evir, graphics, grDevices, stats, utils
License: GPL (>= 2)
LazyData: true
RoxygenNote: 5.0.1
Encoding: UTF-8
Packaged: 2016-03-18 17:35:47 UTC; Jen
Maintainer: Jennifer Dierauer <jen.r.brand@gmail.com>
Author: Jennifer Dierauer [aut, cre], Paul Whitfield [aut]
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2016-03-19 09:32:58

More information about FlowScreen at CRAN
Permanent link

Package arules updated to version 1.4-0 with previous version 1.3-1 dated 2015-12-14

Title: Mining Association Rules and Frequent Itemsets
Description: Provides the infrastructure for representing, manipulating and analyzing transaction data and patterns (frequent itemsets and association rules). Also provides interfaces to C implementations of the association mining algorithms Apriori and Eclat by C. Borgelt.
Author: Michael Hahsler [aut, cre, cph], Christian Buchta [aut, cph], Bettina Gruen [aut, cph], Kurt Hornik [aut, cph], Christian Borgelt [ctb, cph]
Maintainer: Michael Hahsler <mhahsler@lyle.smu.edu>

Diff between arules versions 1.3-1 dated 2015-12-14 and 1.4-0 dated 2016-03-19

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More information about arules at CRAN
Permanent link

Fri, 18 Mar 2016

Package tmap updated to version 1.4 with previous version 1.2 dated 2015-12-11

Title: Thematic Maps
Description: Thematic maps are geographical maps in which spatial data distributions are visualized. This package offers a flexible, layer-based, and easy to use approach to create thematic maps, such as choropleths and bubble maps.
Author: Martijn Tennekes [aut, cre], Joel Gombin [ctb], Kent Russell [ctb], Richard Zijdeman [ctb]
Maintainer: Martijn Tennekes <mtennekes@gmail.com>

Diff between tmap versions 1.2 dated 2015-12-11 and 1.4 dated 2016-03-18

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Package Surrogate updated to version 0.1-69 with previous version 0.1-68 dated 2016-02-21

Title: Evaluation of Surrogate Endpoints in Clinical Trials
Description: In a clinical trial, it frequently occurs that the most credible outcome to evaluate the effectiveness of a new therapy (the true endpoint) is difficult to measure. In such a situation, it can be an effective strategy to replace the true endpoint by a biomarker that is easier to measure and that allows for a prediction of the treatment effect on the true endpoint (a surrogate endpoint). The package 'Surrogate' allows for an evaluation of the appropriateness of a candidate surrogate endpoint based on the meta-analytic, information-theoretic, and causal-inference frameworks. Part of this software has been developed using funding provided from the European Union's 7th Framework Programme for research, technological development and demonstration under Grant Agreement no 602552.
Author: Wim Van der Elst, Paul Meyvisch, Ariel Alonso, Hannah M. Ensor, Christopher J. Weir & Geert Molenberghs
Maintainer: Wim Van der Elst <Wim.vanderelst@gmail.com>

Diff between Surrogate versions 0.1-68 dated 2016-02-21 and 0.1-69 dated 2016-03-18

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More information about Surrogate at CRAN
Permanent link

Package SpatialPosition updated to version 1.1 with previous version 1.0 dated 2015-12-04

Title: Spatial Position Models
Description: Computes spatial position models: Stewart potentials, Reilly catchment areas, Huff catchment areas.
Author: Timothée Giraud [cre, aut], Hadrien Commenges [aut], Joël Boulier [ctb]
Maintainer: Timothée Giraud <timothee.giraud@ums-riate.fr>

Diff between SpatialPosition versions 1.0 dated 2015-12-04 and 1.1 dated 2016-03-18

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Package Momocs updated to version 1.0.0 with previous version 0.2-6 dated 2014-03-07

Title: Morphometrics using R
Description: A complete toolkit for morphometrics, from data extraction to multivariate analyses. Most common 2D morphometrics approaches are included: outlines, open outlines, configurations of landmarks, traditional morphometrics, and facilities for data preparation, manipulation and visualization with a consistent grammar throughout. Momocs allows reproducible, complex morphometric analyses, paves the way for a pure open-source workflow in R, and other morphometrics approaches should be easy to plug in, or develop from, on top of this canvas.
Author: Vincent Bonhomme [aut, cre], Julien Claude [aut]
Maintainer: Vincent Bonhomme <bonhomme.vincent@gmail.com>

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Permanent link

Package traits updated to version 0.2.0 with previous version 0.1.2 dated 2015-09-12

Title: Species Trait Data from Around the Web
Description: Species trait data from many different sources, including sequence data from 'NCBI', plant trait data from 'BETYdb', invasive species data from the Global Invasive Species Database and 'EOL', 'Traitbank' data from 'EOL', Coral traits data from http://coraltraits.org, 'nativity' status ('Flora Europaea' or 'ITIS'), and 'Birdlife' International.
Author: Scott Chamberlain [aut, cre], Zachary Foster [aut], Ignasi Bartomeus [aut], David LeBauer [aut], David Harris [aut]
Maintainer: Scott Chamberlain <myrmecocystus@gmail.com>

Diff between traits versions 0.1.2 dated 2015-09-12 and 0.2.0 dated 2016-03-18

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More information about traits at CRAN
Permanent link

New package selection with initial version 1.0
Package: selection
Title: Correcting Biased Estimates Under Selection
Description: A collection of functions for correcting biased estimates under selection (range restriction).
Version: 1.0
Date: 2016-03-16
Author: Dustin Fife
Maintainer: Dustin Fife <fife.dustin@gmail.com>
License: GPL-2
Depends: norm, fifer
RoxygenNote: 5.0.1
Packaged: 2016-03-18 14:43:56 UTC; fifed
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2016-03-18 16:11:08

More information about selection at CRAN
Permanent link

Package QRM updated to version 0.4-13 with previous version 0.4-10 dated 2014-05-16

Title: Provides R-Language Code to Examine Quantitative Risk Management Concepts
Description: Accompanying package to the book Quantitative Risk Management: Concepts, Techniques and Tools by Alexander J. McNeil, Rüdiger Frey, and Paul Embrechts.
Author: Bernhard Pfaff [aut, cre], Marius Hofert [ctb], Alexander McNeil [aut] (S-Plus original (QRMlib)), Scott Ulmann [trl] (First R port as package QRMlib)
Maintainer: Bernhard Pfaff <bernhard@pfaffikus.de>

Diff between QRM versions 0.4-10 dated 2014-05-16 and 0.4-13 dated 2016-03-18

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More information about QRM at CRAN
Permanent link

Package Pasha updated to version 0.99.21 with previous version 0.99.18 dated 2015-10-16

Title: Preprocessing of Aligned Sequences from HTS Analyses
Description: Pipeline and additional tools designed to handle aligned data from chromatin NGS experiments (less adapted for typical RNAseq applications). Specifically, starting from aligned reads after sequencing, the pipeline function aims at removing artefacts from datasets, estimate in-silico the fragments size, and generate WIG files with corrected values. The package also provides several tools for WIG files manipulations, scaling, merging and subtract (e.g. input).
Author: Romain Fenouil, Nicolas Descostes, Lionel Spinelli, Frederic Koch, Muhammad Ahmad Maqbool, Touati Benoukraf, Pierre Cauchy, Charl<c3><a8>ne Innocenti, Pierre Ferrier, Jean-Christophe Andrau
Maintainer: Romain Fenouil <romain.fenouil@mssm.edu>

Diff between Pasha versions 0.99.18 dated 2015-10-16 and 0.99.21 dated 2016-03-18

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More information about Pasha at CRAN
Permanent link

Package ggtern updated to version 2.1.0 with previous version 2.0.1 dated 2016-01-16

Title: An Extension to 'ggplot2', for the Creation of Ternary Diagrams
Description: Extends the functionality of 'ggplot2', providing the capability to plot ternary diagrams for (subset of) the 'ggplot2' geometries. Additionally, 'ggtern' has implemented several NEW geometries which are unavailable to the standard 'ggplot2' release. For further examples and documentation, please proceed to the 'ggtern' website.
Author: Nicholas Hamilton [aut, cre]
Maintainer: Nicholas Hamilton <nick@ggtern.com>

Diff between ggtern versions 2.0.1 dated 2016-01-16 and 2.1.0 dated 2016-03-18

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More information about ggtern at CRAN
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Package ecb updated to version 0.2 with previous version 0.1 dated 2015-12-11

Title: Programmatic Access to the European Central Bank's Statistical Data Warehouse (SDW)
Description: Provides an interface to the European Central Bank's Statistical Data Warehouse API, allowing for programmatic retrieval of a vast quantity of statistical data.
Author: Eric Persson [aut, cre]
Maintainer: Eric Persson <expersso5@gmail.com>

Diff between ecb versions 0.1 dated 2015-12-11 and 0.2 dated 2016-03-18

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Package backports updated to version 1.0.2 with previous version 1.0.1 dated 2016-03-10

Title: Reimplementations of Functions Introduced Since R-3.0.0
Description: Provides implementations of functions which have been introduced in R since version 3.0.0. The backports are conditionally exported which results in R resolving the function names to the version shipped with R (if available) and uses the implemented backports as fallback. This way package developers can make use of the new functions without worrying about the minimum required R version.
Author: Michel Lang <michellang@gmail.com>
Maintainer: Michel Lang <michellang@gmail.com>

Diff between backports versions 1.0.1 dated 2016-03-10 and 1.0.2 dated 2016-03-18

 DESCRIPTION |    6 +++---
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More information about backports at CRAN
Permanent link

Package WrightMap updated to version 1.2 with previous version 1.1 dated 2014-03-31

Title: IRT Item-Person Map with 'ConQuest' Integration
Description: A powerful yet simple graphical tool available in the field of psychometrics is the Wright Map (also known as item maps or item-person maps), which presents the location of both respondents and items on the same scale. Wright Maps are commonly used to present the results of dichotomous or polytomous item response models. The 'WrightMap' package provides functions to create these plots from item parameters and person estimates stored as R objects. Although the package can be used in conjunction with any software used to estimate the IRT model (e.g. 'eRm' or 'IRToys' in 'R', or 'Stata', 'Mplus', etc.), 'WrightMap' features special integration with 'ConQuest' to facilitate reading and plotting its output directly.The 'wrightMap' function creates Wright Maps based on person estimates and item parameters produced by an item response analysis. The 'CQmodel' function reads output files created using 'ConQuest' software and creates a set of data frames for easy data manipulation, bundled in a 'CQmodel' object. The 'wrightMap' function can take a 'CQmodel' object as input or it can be used to create Wright Maps directly from data frames of person and item parameters.
Author: David Torres Irribarra & Rebecca Freund
Maintainer: David Torres Irribarra <dti@berkeley.edu>

Diff between WrightMap versions 1.1 dated 2014-03-31 and 1.2 dated 2016-03-18

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More information about WrightMap at CRAN
Permanent link

Package whoapi updated to version 0.1.1 with previous version 0.1.0 dated 2015-06-25

Title: A 'Whoapi' API Client
Description: Retrieve data from the 'Whoapi' (https://whoapi.com) store of domain information, including a domain's geographic location, registration status and search prominence.
Author: Oliver Keyes
Maintainer: Oliver Keyes <ironholds@gmail.com>

Diff between whoapi versions 0.1.0 dated 2015-06-25 and 0.1.1 dated 2016-03-18

 DESCRIPTION                    |   14 ++++++++------
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More information about whoapi at CRAN
Permanent link

Package plantecophys updated to version 1.0-2 with previous version 1.0 dated 2015-11-19

Title: Modelling and Analysis of Leaf Gas Exchange Data
Description: Coupled leaf gas exchange model, A-Ci curve simulation and fitting, leaf energy balance using Penman-Monteith, Cowan-Farquhar optimization, unit conversions.
Author: Remko Duursma [aut, cre]
Maintainer: Remko Duursma <remkoduursma@gmail.com>

Diff between plantecophys versions 1.0 dated 2015-11-19 and 1.0-2 dated 2016-03-18

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Permanent link

New package hyphenatr with initial version 0.3.0
Package: hyphenatr
Encoding: UTF-8
Title: Tools to Hyphenate Strings Using the 'Hunspell' Hyphenation Library
Version: 0.3.0
Authors@R: c( person("Bob", "Rudis", email = "bob@rudis.net", role = c("aut", "cre")), person("Raph", "Levien", comment="original libhnj", role = c("aut", "cph")), person("Rene", "Engelhard", comment="libhnj maintainer", role = c("aut", "cph")), person("Chris", "Halls", comment="libhnj maintainer", role = c("aut", "cph")), person("Peter", "Novodvorsky", comment="libhnj OOo integration", role = c("aut", "cph")), person("László", "Németh", role = c("aut", "cph"), comment="libhnj non-standard and compound hyphenation with Unicode support"), person("Nanning", "Buitenhuis", comment="libhnj substrings.c", role = c("aut", "cph")), person("Edwin", "de Jonge", role="ctb", comment="Language testing"), person("Gergely", "Daróczi", role="ctb", comment="Language testing") )
Description: Identifying hyphenation points in strings can be useful for both text processing and display functions. The 'Hunspell' hyphenation library <https://github.com/hunspell/hyphen> provides tools to perform hyphenation using custom language rule dictionaries. Many hyphenation rules dictionaries are included. Words can be hyphenated directly or split into hyphenated component strings for further processing.
Depends: R (>= 3.1.0)
NeedsCompilation: yes
Copyright: file inst/COPYRIGHTS
License: GPL-3 + file LICENSE
LazyData: true
Suggests: testthat
Imports: Rcpp, stringi
RoxygenNote: 5.0.1
LinkingTo: Rcpp
Packaged: 2016-03-18 00:37:30 UTC; bob
Author: Bob Rudis [aut, cre], Raph Levien [aut, cph] (original libhnj), Rene Engelhard [aut, cph] (libhnj maintainer), Chris Halls [aut, cph] (libhnj maintainer), Peter Novodvorsky [aut, cph] (libhnj OOo integration), László Németh [aut, cph] (libhnj non-standard and compound hyphenation with Unicode support), Nanning Buitenhuis [aut, cph] (libhnj substrings.c), Edwin de Jonge [ctb] (Language testing), Gergely Daróczi [ctb] (Language testing)
Maintainer: Bob Rudis <bob@rudis.net>
Repository: CRAN
Date/Publication: 2016-03-18 07:21:39

More information about hyphenatr at CRAN
Permanent link

Package googlesheets updated to version 0.2.0 with previous version 0.1.0 dated 2015-07-05

Title: Manage Google Spreadsheets from R
Description: Interact with Google Sheets from R.
Author: Jennifer Bryan [aut, cre], Joanna Zhao [aut]
Maintainer: Jennifer Bryan <jenny@stat.ubc.ca>

Diff between googlesheets versions 0.1.0 dated 2015-07-05 and 0.2.0 dated 2016-03-18

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More information about googlesheets at CRAN
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Package AlignStat updated to version 1.1.3 with previous version 1.1.1 dated 2016-03-16

Title: Comparison of Alternative Multiple Sequence Alignments
Description: Methods for comparing two alternative multiple sequence alignments (MSAs) to determine whether they align homologous residues in the same columns as one another. It then classifies similarities and differences into conserved gaps, conserved sequence, merges, splits or shifts of one MSA relative to the other. Summarising these categories for each MSA column yields information on which sequence regions are agreed upon my both MSAs, and which differ. Several plotting functions enable easily visualisation of the comparison data for analysis.
Author: Thomas Shafee, Ira Cooke
Maintainer: Thomas Shafee <thomas.shafee@gmail.com>

Diff between AlignStat versions 1.1.1 dated 2016-03-16 and 1.1.3 dated 2016-03-18

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More information about AlignStat at CRAN
Permanent link

Thu, 17 Mar 2016

New package vottrans with initial version 1.0
Package: vottrans
Type: Package
Title: Voter Transition Analysis
Version: 1.0
Date: 2016-03-17
Author: Michael Gampmayer
Maintainer: Michael Gampmayer <michael.gampmayer@gmail.com>
Description: Calculates voter transitions comparing two elections, using the function solve.QP() in package 'quadprog'.
License: GPL-3
Depends: quadprog
NeedsCompilation: no
Packaged: 2016-03-17 18:29:56 UTC; michael
Repository: CRAN
Date/Publication: 2016-03-18 00:32:12

More information about vottrans at CRAN
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New package Rfmtool with initial version 1.1
Package: Rfmtool
Type: Package
Version: 1.1
Date: 2016-03-01
Title: Fuzzy Measure Tools for R
Authors@R: c(person("Gleb", "Beliakov", role = c("aut", "cre"), email = "gleb@deakin.edu.au"), person("Quan", "Vu", role = "ctb"), person("Andrei", "Kelarev", role = "ctb"), person("Michel", "Berkelaar", role = "ctb"), person("Kjell", "Eikland", role = "ctb"), person("Samuel E.", "Buttrey and others", role = "ctb"))
Author: Gleb Beliakov [aut, cre], Quan Vu [ctb], Andrei Kelarev [ctb], Michel Berkelaar [ctb], Kjell Eikland [ctb], Samuel E. Buttrey and others [ctb]
Maintainer: Gleb Beliakov <gleb@deakin.edu.au>
Depends: R (>= 2.9.2)
Suggests:
Description: Various tools for handling fuzzy measures, calculating Shapley value and Interaction index, Choquet and Sugeno integrals, as well as fitting fuzzy measures to empirical data are provided. Construction of fuzzy measures from empirical data is done by solving a linear programming problem by using 'lpsolve' package, whose source in C adapted to the R environment is included. The description of the basic theory of fuzzy measures is in the manual in the Doc folder in this package.
License: LGPL-3
NeedsCompilation: yes
Copyright: Gleb Beliakov. The 'lpsolve' library and its parts are copyright to various holders, including Kjell Eikland, Michel Berkelaar, University of Florida, National Institute of Standards and Technology.
BugReports: to gleb.beliakov@deakin.edu.au
Packaged: 2016-03-19 03:56:19 UTC; gleb
Repository: CRAN
Date/Publication: 2016-03-18 00:16:47

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New package geneNetBP with initial version 1.0.0
Package: geneNetBP
Type: Package
Title: Belief Propagation in Genotype-Phenotype Networks
Version: 1.0.0
Date: 2016-02-29
Author: Janhavi Moharil <janhavim@buffalo.edu>
Maintainer: Janhavi Moharil <janhavim@buffalo.edu>
Depends: R (>= 3.1.0),scales (>= 0.2.4),Rgraphviz (>= 2.8.1), graph (>= 1.42.0)
Suggests: RHugin
Additional_repositories: http://rhugin.r-forge.r-project.org/
Description: Belief propagation methods in genotype-phenotype networks (Conditional Gaussian Bayesian Networks) to propagate phenotypic evidence through the network.
License: GPL-2
Repository: CRAN
Repository/R-Forge/Project: genenetbp
Repository/R-Forge/Revision: 73
Repository/R-Forge/DateTimeStamp: 2016-03-17 19:34:52
Date/Publication: 2016-03-18 00:30:00
NeedsCompilation: no
Packaged: 2016-03-17 19:45:26 UTC; rforge

More information about geneNetBP at CRAN
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Package acs updated to version 2.0 with previous version 1.2 dated 2014-01-22

Title: Download, Manipulate, and Present American Community Survey and Decennial Data from the US Census
Description: Provides a general toolkit for downloading, managing, analyzing, and presenting data from the U.S. Census, including SF1 (Decennial short-form), SF3 (Decennial long-form), and the American Community Survey (ACS). Confidence intervals provided with ACS data are converted to standard errors to be bundled with estimates in complex acs objects. Package provides new methods to conduct standard operations on acs objects and present/plot data in statistically appropriate ways. Current version is 2.0 +/- .033.
Author: Ezra Haber Glenn [aut, cre]
Maintainer: Ezra Haber Glenn <eglenn@mit.edu>

Diff between acs versions 1.2 dated 2014-01-22 and 2.0 dated 2016-03-17

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More information about acs at CRAN
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Package WaterML updated to version 1.7.1 with previous version 1.7.0 dated 2016-02-17

Title: Fetch and Analyze Data from 'WaterML' and 'WaterOneFlow' Web Services
Description: Lets you connect to any of the Consortium of Universities for the Advancement of Hydrologic Sciences, Inc. ('CUAHSI') Water Data Center 'WaterOneFlow' web services and read any 'WaterML' hydrological time series data file. To see list of available web services, see <http://hiscentral.cuahsi.org>. All versions of 'WaterML' (1.0, 1.1 and 2.0) and both types of the web service protocol ('SOAP' and 'REST') are supported. The package has six data download functions: GetServices(): show all public web services from the HIS Central Catalog. HISCentral_GetSites() and HISCentral_GetSeriesCatalog(): search for sites or time series from the HIS Central catalog based on geographic bounding box, server, or keyword. GetVariables(): Show a data.frame with all variables on the server. GetSites(): Show a data.frame with all sites on the server. GetSiteInfo(): Show what variables, methods and quality control levels are available at the specific site. GetValues(): Given a site code, variable code, start time and end time, fetch a data.frame of all the observation time series data values. The GetValues() function can also parse 'WaterML' data from a custom URL or from a local file. The package also has five data upload functions: AddSites(), AddVariables(), AddMethods(), AddSources(), and AddValues(). These functions can be used for uploading data to a 'HydroServer Lite' Observations Data Model ('ODM') database via the 'JSON' data upload web service interface.
Author: Jiri Kadlec [aut, cre]
Maintainer: Jiri Kadlec <jirikadlec2@gmail.com>

Diff between WaterML versions 1.7.0 dated 2016-02-17 and 1.7.1 dated 2016-03-17

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More information about WaterML at CRAN
Permanent link

Package TwoPhaseInd updated to version 1.1.1 with previous version 1.1.0 dated 2016-01-29

Title: Estimate Gene-Treatment Interaction Exploiting Randomization
Description: Estimation of gene-treatment interactions in randomized clinical trials exploiting gene-treatment independence.
Author: James Dai [aut, cre], Xiaoyu Wang [aut]
Maintainer: James Dai <jdai@fredhutch.org>

Diff between TwoPhaseInd versions 1.1.0 dated 2016-01-29 and 1.1.1 dated 2016-03-17

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Permanent link

New package RPresto with initial version 1.2.0
Package: RPresto
Title: DBI Connector to Presto
Version: 1.2.0
Authors@R: c( person('Onur Ismail', 'Filiz', , 'onur@fb.com', role=c('aut', 'cre')), person('Sergey', 'Goder', , 'sgoder@fb.com', role='aut'), person('John Myles', 'White', , 'johnmyleswhite@fb.com', role='ctb') )
Copyright: Facebook, Inc. 2015-present.
Description: Implements a DBI compliant interface to Presto. Presto is an open source distributed SQL query engine for running interactive analytic queries against data sources of all sizes ranging from gigabytes to petabytes: <https://prestodb.io/>.
Depends: R (>= 3.1.0), methods
Imports: DBI (>= 0.3.0), httr (>= 0.6), RCurl, jsonlite, stringi, stats
Suggests: testthat, dplyr (>= 0.4.3)
License: BSD_3_clause + file LICENSE
URL: https://github.com/prestodb/RPresto
BugReports: https://github.com/prestodb/RPresto/issues
Encoding: UTF-8
LazyData: true
Collate: 'PrestoDriver.R' 'Presto.R' 'PrestoConnection.R' 'utility_functions.R' 'PrestoCursor.R' 'PrestoResult.R' 'copy.to.src.presto.R' 'db.data.type.PrestoConnection.R' 'db.explain.PrestoConnection.R' 'db.query.rows.PrestoConnection.R' 'dbHasCompleted.R' 'dbClearResult.R' 'dbConnect.R' 'dbDataType.R' 'dbDisconnect.R' 'dbSendQuery.R' 'json.tabular.to.data.frame.R' 'extract.data.R' 'dbFetch.R' 'dbGetQuery.R' 'dbListTables.R' 'dbExistsTable.R' 'dbGetInfo.R' 'dbGetRowCount.R' 'dbGetStatement.R' 'dbIsValid.R' 'dbListFields.R' 'dbUnloadDriver.R' 'fetch.R' 'help.R' 'src.desc.src.presto.R' 'src.presto.R' 'src.translate.env.src.presto.R' 'tbl.src.presto.R'
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-03-17 20:31:17 UTC; onur
Author: Onur Ismail Filiz [aut, cre], Sergey Goder [aut], John Myles White [ctb]
Maintainer: Onur Ismail Filiz <onur@fb.com>
Repository: CRAN
Date/Publication: 2016-03-18 00:00:39

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New package rechonest with initial version 1.2
Package: rechonest
Type: Package
Title: R Interface to Echo Nest API
Version: 1.2
Date: 2016-03-16
Author: Mukul Chaware[aut,cre]
Maintainer: Mukul Chaware <mukul.chaware13@gmail.com>
Description: The 'Echo nest' <http://the.echonest.com> is the industry's leading music intelligence company, providing developer with deepest understanding of music content and music fans. This package can be used to access artist's data including songs, blogs, news, reviews etc. Song's data including audio summary, style, danceability, tempo etc can also be accessed.
URL: https://github.com/mukul13/rechonest
License: MIT + file LICENSE
LazyData: TRUE
Imports: httr,RCurl,jsonlite
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-03-17 18:08:46 UTC; mukul
Repository: CRAN
Date/Publication: 2016-03-18 00:00:16

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Package packrat updated to version 0.4.7 with previous version 0.4.6-1 dated 2015-11-05

Title: A Dependency Management System for Projects and their R Package Dependencies
Description: Manage the R packages your project depends on in an isolated, portable, and reproducible way.
Author: Kevin Ushey, Jonathan McPherson, Joe Cheng, Aron Atkins, JJ Allaire
Maintainer: Kevin Ushey <kevin@rstudio.com>

Diff between packrat versions 0.4.6-1 dated 2015-11-05 and 0.4.7 dated 2016-03-17

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Package mma updated to version 2.0-4 with previous version 2.0-3 dated 2016-02-24

Title: Multiple Mediation Analysis
Description: Used for general multiple mediation analysis. The analysis method is described in Yu et al. 2014, "General Multiple Mediation Analysis With an Application to Explore Racial Disparity in Breast Cancer Survival", published on Journal of Biometrics & Biostatistics, 5(2):189.
Author: Qingzhao Yu
Maintainer: Qingzhao Yu <qyu@lsuhsc.edu>

Diff between mma versions 2.0-3 dated 2016-02-24 and 2.0-4 dated 2016-03-17

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New package MiSPU with initial version 1.0
Package: MiSPU
Type: Package
Title: Microbiome Based Sum of Powered Score (MiSPU) Tests
Version: 1.0
Date: 2016-02-29
Author: Chong Wu, Wei Pan
Maintainer: Chong Wu <wuxx0845@umn.edu>
Description: There is an increasing interest in investigating how the compositions of microbial communities are associated with human health and disease. In this package, we present a novel global testing method called aMiSPU, that is highly adaptive and thus high powered across various scenarios, alleviating the issue with the choice of a phylogenetic distance. Our simulations and real data analysis demonstrated that aMiSPU test was often more powerful than several competing methods while correctly controlling type I error rates.
License: GPL-2
Imports: Rcpp (>= 0.12.1)
Depends: R (>= 3.2.3), vegan, ape, aSPU,cluster
Suggests: ade4
LinkingTo: Rcpp, RcppArmadillo
NeedsCompilation: yes
Packaged: 2016-03-17 18:15:15 UTC; chong
Repository: CRAN
Date/Publication: 2016-03-18 00:08:39

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Package interplot updated to version 0.1.2.0 with previous version 0.1.1.1 dated 2016-02-15

Title: Plot the Effects of Variables in Interaction Terms
Description: Plots the conditional coefficients ("marginal effects") of variables included in multiplicative interaction terms.
Author: Frederick Solt <frederick-solt@uiowa.edu>, Yue Hu <yue-hu-1@uiowa.edu>
Maintainer: Yue Hu <yue-hu-1@uiowa.edu>

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Package bssn updated to version 0.7 with previous version 0.6 dated 2015-09-08

Title: Birnbaum-Saunders Model Based on Skew-Normal Distribution
Description: It provides the density, distribution function, quantile function, random number generator, reliability function, failure rate, likelihood function, moments and EM algorithm for Maximum Likelihood estimators, also empirical quantile and generated envelope for a given sample, all this for the three parameter Birnbaum-Saunders model based on Skew-Normal Distribution. Additionally, it provides the random number generator for the mixture of Birnbaum-Saunders model based on Skew-Normal distribution.
Author: Rocio Paola Maehara <rmaeharaa@gmail.com> and Luis Benites Sanchez <lbenitesanchez@gmail.com>
Maintainer: Rocio Paola Maehara <rmaeharaa@gmail.com>

Diff between bssn versions 0.6 dated 2015-09-08 and 0.7 dated 2016-03-17

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Package randomForestSRC updated to version 2.1.0 with previous version 2.0.7 dated 2016-01-15

Title: Random Forests for Survival, Regression and Classification (RF-SRC)
Description: A unified treatment of Breiman's random forests for survival, regression and classification problems based on Ishwaran and Kogalur's random survival forests (RSF) package. The package runs in both serial and parallel (OpenMP) modes. Now extended to include multivariate and unsupervised forests.
Author: Hemant Ishwaran <hemant.ishwaran@gmail.com>, Udaya B. Kogalur <ubk@kogalur.com>
Maintainer: Udaya B. Kogalur <ubk@kogalur.com>

Diff between randomForestSRC versions 2.0.7 dated 2016-01-15 and 2.1.0 dated 2016-03-17

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New package OTUtable with initial version 1.0.0
Package: OTUtable
Type: Package
Title: North Temperate Lakes - Microbial Observatory 16S Time Series Data and Functions
Version: 1.0.0
Date: 2016-03-16
Author: Alexandra Linz
Maintainer: Alexandra Linz <amlinz16@gmail.com>
Description: Analyses of OTU tables produced by 16S sequencing, as well as example data. It contains the data and scripts used in the paper Linz, et al. (2016) "Seasonal mixing as a barrier to the development of stable bacterial communities in bog lakes" (Manuscript in prep).
License: GPL-3
LazyLoad: yes
Depends: R (>= 2.10)
Packaged: 2016-03-17 16:06:32 UTC; amlinz16
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2016-03-17 18:59:27

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New package mdhglm with initial version 1.2
Package: mdhglm
Type: Package
Title: Multivariate Double Hierarchical Generalized Linear Models
Version: 1.2
Date: 2016-02-26
Author: Youngjo Lee, Maengseok Noh
Maintainer: Maengseok Noh <msnoh@pknu.ac.kr>
Description: Allows different models for multivariate response variables where each response is assumed to follow double hierarchical generalized linear models. In double hierarchical generalized linear models, the mean, dispersion parameters for variance of random effects, and residual variance (overdispersion) can be further modeled as random-effect models.
Depends: R (>= 3.2.0), methods, Matrix, numDeriv, boot, mvtnorm
License: Unlimited
NeedsCompilation: no
Packaged: 2016-03-17 13:12:07 UTC; Noh
Repository: CRAN
Date/Publication: 2016-03-17 18:59:41

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Package eyetrackingR updated to version 0.1.6 with previous version 0.1.5 dated 2016-03-06

Title: Eye-Tracking Data Analysis
Description: A set of tools that address tasks along the pipeline from raw data to analysis and visualization for eye-tracking data. Offers several popular types of analyses, including linear and growth curve time analyses, onset-contingent reaction time analyses, as well as several non-parametric bootstrapping approaches.
Author: Jacob Dink [aut, cre], Brock Ferguson [aut]
Maintainer: Jacob Dink <jacobwdink@gmail.com>

Diff between eyetrackingR versions 0.1.5 dated 2016-03-06 and 0.1.6 dated 2016-03-17

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Package cffdrs updated to version 1.7.3 with previous version 1.7.1 dated 2016-02-22

Title: Canadian Forest Fire Danger Rating System
Description: This project provides a group of new functions to calculate the outputs of the two main components of the Canadian Forest Fire Danger Rating System (CFFDRS) at various time scales: the Fire Weather Index (FWI) System and the Fire Behaviour Prediction (FBP) System. Some functions have two versions, table and raster based.
Author: Xianli Wang, Alan Cantin, Marc-Andre Parisien, Mike Wotton, Kerry Anderson, Brett Moore, and Mike Flannigan
Maintainer: Alan Cantin <Alan.Cantin@Canada.ca>

Diff between cffdrs versions 1.7.1 dated 2016-02-22 and 1.7.3 dated 2016-03-17

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Package bWGR updated to version 1.3.1 with previous version 1.3 dated 2015-11-19

Title: Bagging Whole-Genome Regression
Description: Designed for whole-genome regressions using Bayesian models fitted via Gibbs sampling with optional resampling techniques and polygenic term with reduced dimensionality.
Author: Alencar Xavier, William Muir, Katy Rainey.
Maintainer: Alencar Xavier <xaviera@purdue.edu>

Diff between bWGR versions 1.3 dated 2015-11-19 and 1.3.1 dated 2016-03-17

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New package boostmtree with initial version 1.0.0
Package: boostmtree
Version: 1.0.0
Date: 2016-03-17
Title: Boosted Multivariate Trees for Longitudinal Data
Author: Hemant Ishwaran <hemant.ishwaran@gmail.com>, Amol Pande <amoljpande@gmail.com>
Maintainer: Udaya B. Kogalur <ubk@kogalur.com>
Depends: R (>= 3.1.0)
Imports: randomForestSRC (>= 2.1.0), parallel, splines, nlme
Description: Implements Friedman's gradient descent boosting algorithm for longitudinal data using multivariate tree base learners. A time-covariate interaction effect is modeled using penalized B-splines (P-splines) with estimated adaptive smoothing parameter.
License: GPL (>= 3)
URL: http://web.ccs.miami.edu/~hishwaran http://www.kogalur.com
NeedsCompilation: no
Packaged: 2016-03-17 14:01:58 UTC; kogalur
Repository: CRAN
Date/Publication: 2016-03-17 18:59:33

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Package bigsplines updated to version 1.0-8 with previous version 1.0-7 dated 2015-08-09

Title: Smoothing Splines for Large Samples
Description: Fits smoothing spline regression models using scalable algorithms designed for large samples. Six marginal spline types are supported: cubic, different cubic, cubic periodic, cubic thin-plate, ordinal, and nominal. Random effects and parametric effects are also supported. Response can be Gaussian or non-Gaussian: Binomial, Poisson, Gamma, Inverse Gaussian, or Negative Binomial.
Author: Nathaniel E. Helwig <helwig@umn.edu>
Maintainer: Nathaniel E. Helwig <helwig@umn.edu>

Diff between bigsplines versions 1.0-7 dated 2015-08-09 and 1.0-8 dated 2016-03-17

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Package userfriendlyscience updated to version 0.4-1 with previous version 0.4-0 dated 2016-01-21

Title: Quantitative Analysis Made Accessible
Description: Contains a number of functions that serve two goals: first, make R more accessible to people migrating from SPSS by adding a number of functions that behave roughly like their SPSS equivalents; and second, make a number of slightly more advanced functions more user friendly to relatively novice users.
Author: Gjalt-Jorn Peters
Maintainer: Gjalt-Jorn Peters <gjalt-jorn@userfriendlyscience.com>

Diff between userfriendlyscience versions 0.4-0 dated 2016-01-21 and 0.4-1 dated 2016-03-17

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Package tsPI updated to version 1.0.1 with previous version 1.0.0 dated 2015-11-09

Title: Improved Prediction Intervals for ARIMA Processes and Structural Time Series
Description: Prediction intervals for ARIMA and structural time series models using importance sampling approach with uninformative priors for model parameters, leading to more accurate coverage probabilities in frequentist sense. Instead of sampling the future observations and hidden states of the state space representation of the model, only model parameters are sampled, and the method is based solving the equations corresponding to the conditional coverage probability of the prediction intervals. This makes method relatively fast compared to for example MCMC methods, and standard errors of prediction limits can also be computed straightforwardly.
Author: Jouni Helske
Maintainer: Jouni Helske <jouni.helske@jyu.fi>

Diff between tsPI versions 1.0.0 dated 2015-11-09 and 1.0.1 dated 2016-03-17

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Package svmadmm updated to version 0.2 with previous version 0.1 dated 2016-03-07

Title: Linear/Nonlinear SVM Classification Solver Based on ADMM and IADMM Algorithms
Description: Solve large-scale regularised linear/kernel classification by using ADMM and IADMM algorithms. This package provides linear L2-regularised primal classification (both ADMM and IADMM are available), kernel L2-regularised dual classification (IADMM) as well as L1-regularised primal classification (both ADMM and IADMM are available).
Author: Ben DAI <bendai2-c@my.cityu.edu.hk>; Junhui Wang <j.h.wang@cityu.edu.hk>
Maintainer: Ben DAI <bendai2-c@my.cityu.edu.hk>

Diff between svmadmm versions 0.1 dated 2016-03-07 and 0.2 dated 2016-03-17

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Package SSN updated to version 1.1.7 with previous version 1.1.6 dated 2015-08-23

Title: Spatial Modeling on Stream Networks
Description: Geostatistical modeling for data on stream networks, including models based on in-stream distance. Models are created using moving average constructions. Spatial linear models, including covariates, can be fit with ML or REML. Mapping and other graphical functions are included.
Author: Jay Ver Hoef and Erin Peterson
Maintainer: Jay Ver Hoef <ver.hoef@SpatialStreamNetworks.com>

Diff between SSN versions 1.1.6 dated 2015-08-23 and 1.1.7 dated 2016-03-17

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New package RSMET with initial version 1.2.9
Package: RSMET
Maintainer: Emanuele Cordano <emanuele.cordano@gmail.com>
License: GPL (>= 2)
Title: Get Real-Time Meteorological Data in SMET Format
Type: Package
Author: Emanuele Cordano
Description: It manages snow and weather local time series as provided by MeteoIO (<http://models.slf.ch/docserver/meteoio/html/index.html>, <http://www.slf.ch/ueber/organisation/schnee_permafrost/projekte/MeteoIO/index_EN>, <https://www.openhub.net/p/MeteoIO>). MeteoIO is a C/C++ Open Source library which "has been designed to accomodate both the needs of carefully crafted simulations for a specific purpose/study and for the needs of operational simulations that run automatically and unattended". It is integrated in physical spatially-distributed models and tackles several issues with weather input/output data. Here a SMET S4 class object is defined and can be imported from/ exported to a SMET ini files of MeteoIO , allowing interoperability from R to MeteoIO and other SMET-compliant software.
Version: 1.2.9
Date: 2016-03-17
Repository: CRAN
Depends: R (>= 2.10), stringr
Imports: methods
Suggests: ggmap
URL: https://github.com/ecor/RSMET
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-03-17 12:45:42 UTC; ecor
Date/Publication: 2016-03-17 13:57:31

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New package rscimark with initial version 1.0
Package: rscimark
Title: SciMark 2.0 Benchmark for Scientific and Numerical Computing
Description: The SciMark 2.0 benchmark was originally developed in Java as a benchmark for numerical and scientific computational performance. It measures the performance of several computational kernels which are frequently occurring in scientific applications. This package is a simple wrapper around the ANSI C implementation of the benchmark.
Authors@R: c(person("Bernd", "Bischl", email = "bernd_bischl@gmx.net", role = c("aut")), person("Jakob", "Bossek", email = "j.bossek@gmail.com", role = c("aut", "cre")))
Maintainer: Jakob Bossek <j.bossek@gmail.com>
URL: https://github.com/berndbischl/rscimark
BugReports: https://github.com/berndbischl/rscimark/issues
License: BSD_2_clause + file LICENSE
Encoding: UTF-8
Imports: checkmate
Suggests: testthat
LazyData: yes
ByteCompile: yes
Version: 1.0
RoxygenNote: 5.0.1
NeedsCompilation: yes
Packaged: 2016-03-17 09:34:48 UTC; jboss
Author: Bernd Bischl [aut], Jakob Bossek [aut, cre]
Repository: CRAN
Date/Publication: 2016-03-17 13:18:56

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Package Rlibeemd updated to version 1.3.7 with previous version 1.3.6 dated 2015-11-10

Title: Ensemble Empirical Mode Decomposition (EEMD) and Its Complete Variant (CEEMDAN)
Description: An R interface for C library libeemd for performing the ensemble empirical mode decomposition (EEMD), its complete variant (CEEMDAN) or the regular empirical mode decomposition (EMD).
Author: Jouni Helske [aut, cre] (R interface), Perttu Luukko [aut] (Original libeemd C library)
Maintainer: Jouni Helske <jouni.helske@jyu.fi>

Diff between Rlibeemd versions 1.3.6 dated 2015-11-10 and 1.3.7 dated 2016-03-17

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Package RFgroove updated to version 1.1 with previous version 1.0 dated 2015-05-18

Title: Importance Measure and Selection for Groups of Variables with Random Forests
Description: Variable selection tools for groups of variables and functional data based on a new grouped variable importance with random forests.
Author: Baptiste Gregorutti
Maintainer: Baptiste Gregorutti <baptiste.gregorutti@safety-line.fr>

Diff between RFgroove versions 1.0 dated 2015-05-18 and 1.1 dated 2016-03-17

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Package phylocurve updated to version 2.0.2 with previous version 1.3.0 dated 2015-06-17

Title: Phylogenetic Comparative Methods for High-Dimensional Traits
Description: Tools for studying the evolution of high-dimensional traits (morphometric, function-valued, etc.) including ancestral state reconstruction, estimating phylogenetic signal, and assessing correlated trait evolution. Visit http://www.phylocurve.org for more information.
Author: Eric W. Goolsby
Maintainer: Eric W. Goolsby <eric.goolsby.evolution@gmail.com>

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Package KFAS updated to version 1.2.2 with previous version 1.2.1 dated 2016-02-05

Title: Kalman Filter and Smoother for Exponential Family State Space Models
Description: Functions for Kalman filtering, smoothing, forecasting and simulation of multivariate exponential family state space models with exact diffuse initialization and sequential processing.
Author: Jouni Helske <jouni.helske@jyu.fi>
Maintainer: Jouni Helske <jouni.helske@jyu.fi>

Diff between KFAS versions 1.2.1 dated 2016-02-05 and 1.2.2 dated 2016-03-17

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New package housingData with initial version 0.3.0
Package: housingData
Type: Package
Title: U.S. Housing Data from 2008 to 2016
Version: 0.3.0
Date: 2016-03-14
Author: Ryan Hafen <rhafen@gmail.com>
Maintainer: Ryan Hafen <rhafen@gmail.com>
License: CC0
Description: Monthly median home listing, sale price per square foot, and number of units sold for 2984 counties in the contiguous United States From 2008 to January 2016. Additional data sets containing geographical information and links to Wikipedia are also included.
Depends: R (>= 2.15)
LazyData: true
URL: http://github.com/hafen/housingData
BugReports: https://github.com/hafen/housingData/issues
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-03-16 23:25:17 UTC; hafen
Repository: CRAN
Date/Publication: 2016-03-17 14:12:11

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Package glmnet updated to version 2.0-5 with previous version 2.0-4 dated 2016-03-13

Title: Lasso and Elastic-Net Regularized Generalized Linear Models
Description: Extremely efficient procedures for fitting the entire lasso or elastic-net regularization path for linear regression, logistic and multinomial regression models, Poisson regression and the Cox model. Two recent additions are the multiple-response Gaussian, and the grouped multinomial. The algorithm uses cyclical coordinate descent in a path-wise fashion, as described in the paper linked to via the URL below.
Author: Jerome Friedman, Trevor Hastie, Noah Simon, Rob Tibshirani
Maintainer: Trevor Hastie <hastie@stanford.edu>

Diff between glmnet versions 2.0-4 dated 2016-03-13 and 2.0-5 dated 2016-03-17

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Package GAabbreviate updated to version 1.2 with previous version 1.1 dated 2016-02-26

Title: Abbreviating Items Measures using Genetic Algorithms
Description: The GAabbreviate package uses Genetic Algorithms as an optimization tool for scale abbreviation or subset selection that maximally captures the variance in the original data.
Author: Luca Scrucca [aut], Baljinder K. Sahdra [aut, cre]
Maintainer: Baljinder K. Sahdra <baljinder.sahdra@acu.edu.au>

Diff between GAabbreviate versions 1.1 dated 2016-02-26 and 1.2 dated 2016-03-17

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Package ddpcr updated to version 1.1.2 with previous version 1.0.1 dated 2016-02-19

Title: Analysis and Visualization of Droplet Digital PCR in R and on the Web
Description: An interface to explore, analyze, and visualize droplet digital PCR (ddPCR) data in R. This is the first non-proprietary software for analyzing two-channel ddPCR data. An interactive tool was also created and is available online to facilitate this analysis for anyone who is not comfortable with using R.
Author: Dean Attali [aut, cre]
Maintainer: Dean Attali <daattali@gmail.com>

Diff between ddpcr versions 1.0.1 dated 2016-02-19 and 1.1.2 dated 2016-03-17

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Package BrailleR updated to version 0.24.0 with previous version 0.22.0 dated 2015-06-26

Title: Improved Access for Blind Users
Description: Blind users do not have access to the graphical output from R without printing the content of graphics windows to an embosser of some kind. This is not as immediate as is required for efficient access to statistical output. The functions here are created so that blind people can make even better use of R. This includes the text descriptions of graphs, convenience functions to replace the functionality offered in many GUI front ends, and experimental functionality for optimising graphical content to prepare it for embossing as tactile images.
Author: A. Jonathan R. Godfrey [aut, cre], Duncan Murdoch [ctb], Greg Snow [ctb], Henrik Bengtsson [ctb], James Curtis [ctb], Paul Murrell [ctb], Timothy Bilton [ctb], Yihui Xie [ctb]
Maintainer: A. Jonathan R. Godfrey <a.j.godfrey@massey.ac.nz>

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Package Bolstad updated to version 0.2-30 with previous version 0.2-25 dated 2013-06-17

Title: Functions for Elementary Bayesian Inference
Description: A set of R functions and data sets for the book Introduction to Bayesian Statistics, Bolstad, W.M. (2007), John Wiley & Sons ISBN 0-471-27020-2.
Author: James Curran <j.curran@auckland.ac.nz>
Maintainer: James Curran <j.curran@auckland.ac.nz>

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Package bdscale updated to version 2.0.0 with previous version 1.2 dated 2014-11-12

Title: Remove Weekends and Holidays from ggplot2 Axes
Description: Provides a continuous date scale, omitting weekends and holidays.
Author: Dave Mills [aut, cre]
Maintainer: Dave Mills <dave.a.mills@gmail.com>

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Package bcRep updated to version 1.3.2 with previous version 1.3.1 dated 2016-02-25

Title: Advanced Analysis of B Cell Receptor Repertoire Data
Description: Methods for advanced analysis of B cell receptor repertoire data, like gene usage, mutations, clones, diversity, distance measures and multidimensional scaling and their visualisation.
Author: Julia Bischof
Maintainer: Julia Bischof <Julia.Bischof@uksh.de>

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Wed, 16 Mar 2016

Package SCGLR updated to version 2.0.3 with previous version 2.0.2 dated 2015-02-16

Title: Supervised Component Generalized Linear Regression
Description: The Fisher Scoring Algorithm is extended so as to combine Partial Least Squares regression with Generalized Linear Model estimation in the multivariate context.
Author: Guillaume Cornu [cre, aut], Frederic Mortier [aut], Catherine Trottier [aut], Xavier Bry [aut]
Maintainer: Guillaume Cornu <gcornu@cirad.fr>

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Package rsdmx updated to version 0.5-3 with previous version 0.5-2 dated 2016-03-15

Title: Tools for Reading SDMX Data and Metadata
Description: Set of classes and methods to read data and metadata documents exchanged through the Statistical Data and Metadata Exchange (SDMX) framework, currently focusing on the SDMX XML standard format (SDMX-ML).
Author: Emmanuel Blondel [aut, cre], Matthieu Stigler [ctb]
Maintainer: Emmanuel Blondel <emmanuel.blondel1@gmail.com>

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Package qrjoint updated to version 1.0-0 with previous version 0.1-1 dated 2015-07-14

Title: Joint Estimation in Linear Quantile Regression
Description: Joint estimation of quantile specific intercept and slope parameters in a linear regression setting.
Author: Surya Tokdar <tokdar@stat.duke.edu>
Maintainer: Surya Tokdar <tokdar@stat.duke.edu>

Diff between qrjoint versions 0.1-1 dated 2015-07-14 and 1.0-0 dated 2016-03-16

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Package lcmm updated to version 1.7.5 with previous version 1.7.4 dated 2015-12-26

Title: Extended Mixed Models Using Latent Classes and Latent Processes
Description: Estimation of various extensions of the mixed models including latent class mixed models, joint latent latent class mixed models and mixed models for curvilinear univariate or multivariate longitudinal outcomes using a maximum likelihood estimation method.
Author: Cecile Proust-Lima, Viviane Philipps, Amadou Diakite and Benoit Liquet
Maintainer: Cecile Proust-Lima <cecile.proust-lima@inserm.fr>

Diff between lcmm versions 1.7.4 dated 2015-12-26 and 1.7.5 dated 2016-03-16

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New package edgeCorr with initial version 1.0
Package: edgeCorr
Type: Package
Title: Spatial Edge Correction
Version: 1.0
Date: 2016-03-12
Author: Glenna Nightingale
Maintainer: Glenna Nightingale <glenna.evans@gmail.com>
Description: Facilitates basic spatial edge correction to point pattern data.
License: GPL-2
Depends: graphics
Packaged: 2016-03-14 09:37:50 UTC; Glenna
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2016-03-16 18:16:12

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Package bayesGDS updated to version 0.6.2 with previous version 0.6.1 dated 2015-03-31

Title: Scalable Rejection Sampling for Bayesian Hierarchical Models
Description: Functions for implementing the Braun and Damien (2015) rejection sampling algorithm for Bayesian hierarchical models. The algorithm generates posterior samples in parallel, and is scalable when the individual units are conditionally independent.
Author: Michael Braun [aut, cre, cph]
Maintainer: Michael Braun <braunm@smu.edu>

Diff between bayesGDS versions 0.6.1 dated 2015-03-31 and 0.6.2 dated 2016-03-16

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New package MatrixCorrelation with initial version 0.8.0
Encoding: latin1
Package: MatrixCorrelation
Type: Package
Title: Matrix Correlation Coefficients
Version: 0.8.0
Date: 2016-03-16
Authors@R: c(person("Kristian Hovde", "Liland", role = c("aut","cre"), email="kristian.liland@nofima.no"), person("Tormod", "Ns", role=c("ctb")), person("Ulf Geir", "Indahl", role="ctb"))
Author: Kristian Hovde Liland [aut, cre], Tormod Ns [ctb], Ulf Geir Indahl [ctb]
Maintainer: Kristian Hovde Liland <kristian.liland@nofima.no>
Description: Computation and visualization of matrix correlation coefficients. The main method is the Similarity of Matrices Index, while various related measures like r1, r2, r3, r4, Yanai's GCD, RV, RV2 and adjusted RV are included for comparison.
Depends: R (>= 3.0.1)
Imports: Rcpp, plotrix, pracma, progress, rARPACK
License: GPL-2
LazyData: TRUE
RoxygenNote: 5.0.1
LinkingTo: progress, Rcpp, RcppArmadillo
NeedsCompilation: yes
Packaged: 2016-03-16 14:04:18 UTC; kristian.liland
Repository: CRAN
Date/Publication: 2016-03-16 16:43:39

More information about MatrixCorrelation at CRAN
Permanent link

Package gpuR updated to version 1.1.0 with previous version 1.0.1 dated 2015-11-21

Title: GPU Functions for R Objects
Description: Provides GPU enabled functions for R objects in a simple and approachable manner. New 'gpu*' and 'vcl*' classes have been provided to wrap typical R objects (e.g. vector, matrix), in both host and device spaces, to mirror typical R syntax without the need to know OpenCL.
Author: Charles Determan Jr.
Maintainer: Charles Determan Jr. <cdetermanjr@gmail.com>

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 gpuR-1.1.0/gpuR/tests/testthat/test_gpuVector_algebra.R               |  382 
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 gpuR-1.1.0/gpuR/vignettes/gpuR-concordance.tex                        |    2 
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More information about gpuR at CRAN
Permanent link

Package DiversityOccupancy updated to version 1.0.2 with previous version 1.0.1 dated 2016-03-11

Title: Building Diversity Models from Multiple Species Occupancy Models
Description: Predictions of alpha diversity are fitted from presence data, first abundance is modeled from occupancy models and then, several diversity indices are calculated and finally GLM models are used to predict diversity in different environments and select priority areas.
Author: Derek Corcoran [aut, cre], Dylan Kesler [aut], Elisabeth Webb [aut], Nicole Michel [ctb]
Maintainer: Derek Corcoran <derek.corcoran.barrios@gmail.com>

Diff between DiversityOccupancy versions 1.0.1 dated 2016-03-11 and 1.0.2 dated 2016-03-16

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 8 files changed, 115 insertions(+), 29 deletions(-)

More information about DiversityOccupancy at CRAN
Permanent link

Package Directional updated to version 1.8 with previous version 1.7.5 dated 2016-02-12

Title: Directional Statistics
Description: A collection of R functions for directional data analysis.
Author: Michail Tsagris, Giorgos Athineou
Maintainer: Michail Tsagris <mtsagris@yahoo.gr>

Diff between Directional versions 1.7.5 dated 2016-02-12 and 1.8 dated 2016-03-16

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 79 files changed, 741 insertions(+), 628 deletions(-)

More information about Directional at CRAN
Permanent link

New package dendrometeR with initial version 1.0.0
Package: dendrometeR
Type: Package
Title: Analyzing Dendrometer Data
Version: 1.0.0
Date: 2016-03-16
Author: Olivier Bouriaud, Ernst van der Maaten, Marieke van der Maaten-Theunissen and Marko Smiljanic
Maintainer: Ernst van der Maaten <ernst.vandermaaten@gmail.com>
Description: Various functions to import, verify, process and plot high-resolution dendrometer using daily and stem-cycle approaches.
License: GPL (>= 2)
Depends: R (>= 3.2.0), forecast, graphics, grDevices, pspline, stats, zoo
Imports: methods
Encoding: UTF-8
Repository: CRAN
RoxygenNote: 5.0.1
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2016-03-16 11:14:31 UTC; Ernst
Date/Publication: 2016-03-16 16:43:42

More information about dendrometeR at CRAN
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Package blsAPI updated to version 0.1.3 with previous version 0.1.2 dated 2015-09-10

Title: Request Data from the U.S. Bureau of Labor Statistics API
Description: Allows users to request data for one or multiple series through the U.S. Bureau of Labor Statistics API. Users provide parameters as specified in http://www.bls.gov/developers/api_signature.htm and the function returns a JSON string.
Author: Michael Silva <mike.a.silva@gmail.com>
Maintainer: Michael Silva <mike.a.silva@gmail.com>

Diff between blsAPI versions 0.1.2 dated 2015-09-10 and 0.1.3 dated 2016-03-16

 DESCRIPTION    |   11 ++++++++---
 MD5            |   10 ++++++----
 NAMESPACE      |    4 +++-
 R/blsAPI.R     |   43 ++++++++++++++++++++++++++-----------------
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More information about blsAPI at CRAN
Permanent link

Package AdaptGauss updated to version 1.2.0 with previous version 1.1.0 dated 2015-10-14

Title: Gaussian Mixture Models (GMM)
Description: Multimodal distributions can be modelled as a mixture of components. The model is derived using the Pareto Density Estimation (PDE) for an estimation of the pdf. PDE has been designed in particular to identify groups/classes in a dataset. Precise limits for the classes can be calculated using the theorem of Bayes. Verification of the model is possible by QQ plot, Chi-squared test and Kolmogorov-Smirnov test.
Author: Michael Thrun, Onno Hansen-Goos, Rabea Griese, Catharina Lippmann, Jorn Lotsch, Alfred Ultsch
Maintainer: Michael Thrun <mthrun@mathematik.uni-marburg.de>

Diff between AdaptGauss versions 1.1.0 dated 2015-10-14 and 1.2.0 dated 2016-03-16

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 49 files changed, 166 insertions(+), 150 deletions(-)

More information about AdaptGauss at CRAN
Permanent link

Package RcppArmadillo updated to version 0.6.600.4.0 with previous version 0.6.500.4.0 dated 2016-01-27

Title: 'Rcpp' Integration for the 'Armadillo' Templated Linear Algebra Library
Description: 'Armadillo' is a templated C++ linear algebra library (by Conrad Sanderson) that aims towards a good balance between speed and ease of use. Integer, floating point and complex numbers are supported, as well as a subset of trigonometric and statistics functions. Various matrix decompositions are provided through optional integration with LAPACK and ATLAS libraries. The 'RcppArmadillo' package includes the header files from the templated 'Armadillo' library. Thus users do not need to install 'Armadillo' itself in order to use 'RcppArmadillo'. 'Armadillo' is licensed under the MPL 2.0, while 'RcppArmadillo' (the 'Rcpp' bindings/bridge to Armadillo) is licensed under the GNU GPL version 2 or later, as is the rest of 'Rcpp'.
Author: Dirk Eddelbuettel, Romain Francois and Doug Bates
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between RcppArmadillo versions 0.6.500.4.0 dated 2016-01-27 and 0.6.600.4.0 dated 2016-03-16

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More information about RcppArmadillo at CRAN
Permanent link

Package dplR updated to version 1.6.4 with previous version 1.6.3 dated 2015-05-30

Title: Dendrochronology Program Library in R
Description: Perform tree-ring analyses such as detrending, chronology building, and cross dating. Read and write standard file formats used in dendrochronology.
Author: Andy Bunn [aut, cph, cre, trl], Mikko Korpela [aut, trl], Franco Biondi [aut, cph], Filipe Campelo [aut, cph], Pierre Mérian [aut, cph], Fares Qeadan [aut, cph], Christian Zang [aut, cph], Allan Buras [ctb], Jacob Cecile [ctb], Manfred Mudelsee [ctb], Michael Schulz [ctb]
Maintainer: Andy Bunn <andy.bunn@wwu.edu>

Diff between dplR versions 1.6.3 dated 2015-05-30 and 1.6.4 dated 2016-03-16

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Package AlignStat updated to version 1.1.1 with previous version 1.1 dated 2016-03-14

Title: Comparison of Alternative Multiple Sequence Alignments
Description: Methods for comparing two alternative multiple sequence alignments (MSAs) to determine whether they align homologous residues in the same columns as one another. It then classifies similarities and differences into conserved gaps, conserved sequence, merges, splits or shifts of one MSA relative to the other. Summarising these categories for each MSA column yields information on which sequence regions are agreed upon my both MSAs, and which differ. Several plotting functions enable easily visualisation of the comparison data for analysis.
Author: Thomas Shafee, Ira Cooke
Maintainer: Thomas Shafee <thomas.shafee@gmail.com>

Diff between AlignStat versions 1.1 dated 2016-03-14 and 1.1.1 dated 2016-03-16

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Package AbsFilterGSEA updated to version 1.0 with previous version 0.1 dated 2016-01-04

Title: Improved False Positive Control of Gene-Permuting GSEA with Absolute Filtering
Description: Gene-set enrichment analysis (GSEA) is popularly used to assess the enrichment of differential signal in a pre-defined gene-set without using a cutoff threshold for differential expression. The significance of enrichment is evaluated through sample- or gene-permutation method. Although the sample-permutation approach is highly recommended due to its good false positive control, we must use gene-permuting method if the number of samples is small. However, such gene-permuting GSEA (or preranked GSEA) generates a lot of false positive gene-sets as the inter-gene correlation in each gene set increases. These false positives can be successfully reduced by filtering with the one-tailed absolute GSEA results. This package provides a function that performs gene-permuting GSEA calculation with or without the absolute filtering. Without filtering, users can perform (original) two-tailed or one-tailed absolute GSEA.
Author: Sora Yoon <yoonsora@unist.ac.kr>
Maintainer: Sora Yoon <yoonsora@unist.ac.kr>

Diff between AbsFilterGSEA versions 0.1 dated 2016-01-04 and 1.0 dated 2016-03-16

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Package siplab updated to version 1.2 with previous version 1.1 dated 2014-05-11

Title: Spatial Individual-Plant Modelling
Description: A platform for experimenting with spatially explicit individual-based vegetation models.
Author: Oscar Garcia
Maintainer: Oscar Garcia <garcia@dasometrics.net>

Diff between siplab versions 1.1 dated 2014-05-11 and 1.2 dated 2016-03-16

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New package ROpenWeatherMap with initial version 1.1
Package: ROpenWeatherMap
Type: Package
Title: R Interface to OpenWeatherMap API
Version: 1.1
Date: 2016-03-15
Author: Mukul Chaware[aut,cre]
Maintainer: Mukul Chaware <mukul.chaware13@gmail.com>
Description: OpenWeatherMap (OWM) <http://openweathermap.org/api> is a service providing weather related data. This package can be used to access current weather data for one location or several locations. It can also be used to forecast weather for 5 days with data for every 3 hours.
License: MIT + file LICENSE
LazyData: TRUE
Imports: httr,RCurl,jsonlite
RoxygenNote: 5.0.1.9000
NeedsCompilation: no
Packaged: 2016-03-16 02:07:18 UTC; mukul
Repository: CRAN
Date/Publication: 2016-03-16 10:01:42

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Package lamW updated to version 1.1.0 with previous version 1.0.0 dated 2015-12-28

Title: Lambert-W Function
Description: Implements both real-valued branches of the Lambert-W function, also known as the product logarithm, without the need for installing the entire GSL.
Author: Avraham Adler [aut, cph, cre]
Maintainer: Avraham Adler <Avraham.Adler@gmail.com>

Diff between lamW versions 1.0.0 dated 2015-12-28 and 1.1.0 dated 2016-03-16

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Package Fragman updated to version 1.0.3 with previous version 1.0.2 dated 2015-11-12

Title: Fragment Analysis in R
Description: Performs fragment analysis using genetic data coming from capillary electrophoresis machines. These are files with FSA extension which stands for FASTA-type file and contains DNA fragment intensities read by machinery. In addition to visualization, it performs automatic scoring of SSRs (Sample Sequence Repeats; a type of genetic marker very common across the genome) and other type of PCR markers (standing for Polymerase Chain Reaction) in biparental populations such as F1, F2, BC (backcross), and diversity panels (collection of genetic diversity).
Author: Giovanny Covarrubias-Pazaran, Luis Diaz-Garcia, Brandon Schlautman, Walter Salazar, Juan Zalapa.
Maintainer: Giovanny Covarrubias-Pazaran <covarrubiasp@wisc.edu>

Diff between Fragman versions 1.0.2 dated 2015-11-12 and 1.0.3 dated 2016-03-16

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Package datadr updated to version 0.8.5 with previous version 0.8.4 dated 2016-03-14

Title: Divide and Recombine for Large, Complex Data
Description: Methods for dividing data into subsets, applying analytical methods to the subsets, and recombining the results. Comes with a generic MapReduce interface as well. Works with key-value pairs stored in memory, on local disk, or on HDFS, in the latter case using the R and Hadoop Integrated Programming Environment (RHIPE).
Author: Ryan Hafen [aut, cre], Landon Sego [ctb]
Maintainer: Ryan Hafen <rhafen@gmail.com>

Diff between datadr versions 0.8.4 dated 2016-03-14 and 0.8.5 dated 2016-03-16

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Tue, 15 Mar 2016

Package Unicode updated to version 8.0.0-1 with previous version 0.1-5 dated 2014-11-28

Title: Unicode Data and Utilities
Description: Data from Unicode 8.0.0 and related utilities.
Author: Kurt Hornik [aut, cre]
Maintainer: Kurt Hornik <Kurt.Hornik@R-project.org>

Diff between Unicode versions 0.1-5 dated 2014-11-28 and 8.0.0-1 dated 2016-03-15

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Package RWekajars updated to version 3.7.13-1 with previous version 3.7.12-1 dated 2015-01-25

Title: R/Weka Interface Jars
Description: External jars required for package 'RWeka'.
Author: Kurt Hornik [aut, cre], University of Waikato [ctb, cph] (Weka Java library)
Maintainer: Kurt Hornik <Kurt.Hornik@R-project.org>

Diff between RWekajars versions 3.7.12-1 dated 2015-01-25 and 3.7.13-1 dated 2016-03-15

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Package RWeka updated to version 0.4-25 with previous version 0.4-24 dated 2015-01-25

Title: R/Weka Interface
Description: An R interface to Weka (Version 3.7.13). Weka is a collection of machine learning algorithms for data mining tasks written in Java, containing tools for data pre-processing, classification, regression, clustering, association rules, and visualization. Package 'RWeka' contains the interface code, the Weka jar is in a separate package 'RWekajars'. For more information on Weka see <http://www.cs.waikato.ac.nz/ml/weka/>.
Author: Kurt Hornik [aut, cre], Christian Buchta [ctb], Torsten Hothorn [ctb], Alexandros Karatzoglou [ctb], David Meyer [ctb], Achim Zeileis [ctb]
Maintainer: Kurt Hornik <Kurt.Hornik@R-project.org>

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Package RViennaCL updated to version 1.7.1-1 with previous version 1.7.1-0 dated 2016-01-22

Title: ViennaCL C++ Header Files
Description: ViennaCL is a free open-source linear algebra library for computations on many-core architectures (GPUs, MIC) and multi-core CPUs. The library is written in C++ and supports CUDA, OpenCL, and OpenMP (including switches at runtime). I have placed these libraries in this package as a more efficient distribution system for CRAN. The idea is that you can write a package that depends on the ViennaCL library and yet you do not need to distribute a copy of this code with your package.
Author: Charles Determan Jr.
Maintainer: Charles Determan Jr <cdetermanjr@gmail.com>

Diff between RViennaCL versions 1.7.1-0 dated 2016-01-22 and 1.7.1-1 dated 2016-03-15

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Package poppr updated to version 2.1.1 with previous version 2.1.0 dated 2015-12-01

Title: Genetic Analysis of Populations with Mixed Reproduction
Description: Population genetic analyses for hierarchical analysis of partially clonal populations built upon the architecture of the 'adegenet' package.
Author: Zhian N. Kamvar [cre, aut], Javier F. Tabima [aut], Sydney E. Everhart [ctb, dtc], Jonah C. Brooks [aut], Stacy A. Krueger-Hadfield [ctb], Erik Sotka [ctb], Niklaus J. Grunwald [ths]
Maintainer: Zhian N. Kamvar <kamvarz@science.oregonstate.edu>

Diff between poppr versions 2.1.0 dated 2015-12-01 and 2.1.1 dated 2016-03-15

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Package NlcOptim updated to version 0.4 with previous version 0.3 dated 2015-12-21

Title: Solve Nonlinear Optimization with Nonlinear Constraints
Description: Optimization for nonlinear objective and constraint functions. Linear or nonlinear equality and inequality constraints are allowed. It accepts the input parameters as a constrained matrix.
Author: Xianyan Chen <xychen@uga.edu>, Xiangrong Yin <yinxiangrong@uky.edu>
Maintainer: Xianyan Chen <xychen@uga.edu>

Diff between NlcOptim versions 0.3 dated 2015-12-21 and 0.4 dated 2016-03-15

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Package mev updated to version 1.6.1 with previous version 1.6 dated 2016-03-08

Title: Multivariate Extreme Value Distributions
Description: Exact simulation from max-stable processes and multivariate extreme value distributions for various parametric models. Threshold selection methods.
Author: Leo Belzile [aut, cre], Jennifer L. Wadsworth [aut], Paul J. Northrop [aut], Claire L. Coleman [aut], Jin. Zhang [ctb], Michael A. Newton [ctb], Art Owen [ctb]
Maintainer: Leo Belzile <leo.belzile@epfl.ch>

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Package ISOcodes updated to version 2016.03.15 with previous version 2015.04.04 dated 2015-04-04

Title: Selected ISO Codes
Description: ISO language, territory, currency, script and character codes. Provides ISO 639 language codes, ISO 3166 territory codes, ISO 4217 currency codes, ISO 15924 script codes, and the ISO 8859 character codes as well as the UN M.49 area codes.
Author: Christian Buchta [aut], Kurt Hornik [aut, cre]
Maintainer: Kurt Hornik <Kurt.Hornik@R-project.org>

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Package mitml updated to version 0.3-0 with previous version 0.2-4 dated 2015-10-19

Title: Tools for Multiple Imputation in Multilevel Modeling
Description: Provides tools for multiple imputation of missing data in multilevel modeling. Includes a user-friendly interface to the packages 'pan' and 'jomo', and several functions for visualization, data management and the analysis of multiply imputed data sets.
Author: Simon Grund [aut,cre], Alexander Robitzsch [aut], Oliver Luedtke [aut]
Maintainer: Simon Grund <grund@ipn.uni-kiel.de>

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Package jmuOutlier updated to version 1.1 with previous version 1.0 dated 2016-02-25

Title: Permutation Tests for Nonparametric Statistics
Description: Performs a permutation test on the difference between two location parameters, a permutation correlation test, a permutation F-test, the Siegel-Tukey test, a ratio mean deviance test. Also performs some graphing techniques, such as for confidence intervals, vector addition, and Fourier analysis; and includes functions related to the Laplace (double exponential) and triangular distributions. Performs power calculations for the binomial test.
Author: Steven T. Garren [aut, cre]
Maintainer: Steven T. Garren <GARRENST@JMU.EDU>

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Package dlnm updated to version 2.2.3 with previous version 2.1.3 dated 2014-08-05

Title: Distributed Lag Non-Linear Models
Description: Collection of functions for distributed lag linear and non-linear models.
Author: Antonio Gasparrini and Ben Armstrong
Maintainer: Antonio Gasparrini <antonio.gasparrini@lshtm.ac.uk>

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New package DEMOVA with initial version 1.0
Package: DEMOVA
Type: Package
Title: DEvelopment (of Multi-Linear QSPR/QSAR) MOdels VAlidated using Test Set
Version: 1.0
Date: 2016-03-15
Author: Vinca Prana
Maintainer: Vinca Prana <vinca.prana@free.fr>
Description: Tool for the development of multi-linear QSPR/QSAR models (Quantitative structure-property/activity relationship). Theses models are used in chemistry, biology and pharmacy to find a relationship between the structure of a molecule and its property (such as activity, toxicology but also physical properties). The various functions of this package allows: selection of descriptors based of variances, intercorrelation and user expertise; selection of the best multi-linear regression in terms of correlation and robustness; methods of internal validation (Leave-One-Out, Leave-Many-Out, Y-scrambling) and external using test sets.
License: GPL (>= 2)
Depends: leaps
Suggests: testthat
NeedsCompilation: no
Packaged: 2016-03-15 16:07:15 UTC
Repository: CRAN
Date/Publication: 2016-03-15 19:54:06

More information about DEMOVA at CRAN
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Package Rblpapi updated to version 0.3.3 with previous version 0.3.2 dated 2015-12-07

Title: R Interface to Bloomberg
Description: An R Interface to Bloomberg is provided via the Blp API.
Author: Whit Armstrong, Dirk Eddelbuettel and John Laing
Maintainer: Dirk Eddelbuettel <edd@debian.org>

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Package TLdating updated to version 0.1.1 with previous version 0.1.0 dated 2016-03-08

Title: Tools for Thermoluminescences Dating
Description: A series of function to make thermoluminescence dating using the MAAD or the SAR protocol. This package completes the R package "Luminescence."
Author: David Strebler [aut, cre], Dominik Brill [ths], Helmut Brückner [ths]
Maintainer: David Strebler <david.strebler@uni-koeln.de>

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Package synthpop updated to version 1.2-1 with previous version 1.2-0 dated 2016-02-03

Title: Generating Synthetic Versions of Sensitive Microdata for Statistical Disclosure Control
Description: A tool for producing synthetic versions of microdata containing confidential information so that they are safe to be released to users for exploratory analysis. The key objective of generating synthetic data is to replace sensitive original values with synthetic ones causing minimal distortion of the statistical information contained in the data set. Variables, which can be categorical or continuous, are synthesised one-by-one using sequential modelling. Replacements are generated by drawing from conditional distributions fitted to the original data using parametric or classification and regression trees models. Data are synthesised via the function syn() which can be largely automated, if default settings are used, or with methods defined by the user. Optional parameters can be used to influence the disclosure risk and the analytical quality of the synthesised data.
Author: Beata Nowok, Gillian M Raab, Joshua Snoke and Chris Dibben
Maintainer: Beata Nowok <beata.nowok@gmail.com>

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Package questionr updated to version 0.5 with previous version 0.4.3 dated 2015-03-31

Title: Functions to Make Surveys Processing Easier
Description: Set of functions to make the processing and analysis of surveys easier : interactive shiny apps and addins for data recoding, contingency tables, dataset metadata handling, and several convenience functions.
Author: Julien Barnier [aut, cre], François Briatte [aut], Joseph Larmarange [aut]
Maintainer: Julien Barnier <julien.barnier@ens-lyon.fr>

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New package RADanalysis with initial version 0.5.5
Package: RADanalysis
Type: Package
Title: Normalization and Study of Rank Abundance Distributions
Version: 0.5.5
Date: 2016-03-14
Description: It has tools for normalization of rank abundance distributions (RAD) to a desired number of ranks using MaxRank Normalization method. RADs are commonly used in biology/ecology and mathematically equivalent to complementary cumulative distributions (CCDFs) which are used in physics, linguistics and sociology and more generally in data science.
License: GPL-3
LazyData: TRUE
RoxygenNote: 5.0.1
Depends: R (>= 2.10)
Imports: sfsmisc, scales, stats, graphics
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
Authors@R: c( person("Mohmmadkarim", "Saeedghalati", email = "m.saeedghalati@uni-due.de", role = c("aut", "cre")), person("Farnoush", "Farahpour", email = "farnoush.farahpour@uni-due.de", role = c("aut")), person("Daniel", "Hoffmann", email = "daniel.hoffmann@uni-due.de", role = c("aut")))
NeedsCompilation: no
Packaged: 2016-03-15 12:42:51 UTC; arvin
Author: Mohmmadkarim Saeedghalati [aut, cre], Farnoush Farahpour [aut], Daniel Hoffmann [aut]
Maintainer: Mohmmadkarim Saeedghalati <m.saeedghalati@uni-due.de>
Repository: CRAN
Date/Publication: 2016-03-15 15:10:40

More information about RADanalysis at CRAN
Permanent link

Package cati updated to version 0.99.1 with previous version 0.99 dated 2015-05-29

Title: Community Assembly by Traits: Individuals and Beyond
Description: Detect and quantify community assembly processes using trait values of individuals or populations, the T-statistics and other metrics, and dedicated null models.
Author: Adrien Taudiere, Cyrille Violle with contribution by Francois Munoz
Maintainer: Adrien Taudiere <adrien.taudiere@cefe.cnrs.fr>

Diff between cati versions 0.99 dated 2015-05-29 and 0.99.1 dated 2016-03-15

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More information about cati at CRAN
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Package bsts updated to version 0.6.3 with previous version 0.6.2 dated 2015-07-20

Title: Bayesian Structural Time Series
Description: Time series regression using dynamic linear models fit using MCMC.
Author: Steven L. Scott <stevescott@google.com>
Maintainer: Steven L. Scott <stevescott@google.com>

Diff between bsts versions 0.6.2 dated 2015-07-20 and 0.6.3 dated 2016-03-15

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More information about bsts at CRAN
Permanent link

Package BoomSpikeSlab updated to version 0.5.3 with previous version 0.5.2 dated 2014-12-04

Title: MCMC for Spike and Slab Regression
Description: Spike and slab regression a la McCulloch and George (1997).
Author: Steven L. Scott <stevescott@google.com>
Maintainer: Steven L. Scott <stevescott@google.com>

Diff between BoomSpikeSlab versions 0.5.2 dated 2014-12-04 and 0.5.3 dated 2016-03-15

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 MD5                                         |   39 +-
 NAMESPACE                                   |   27 +
 R/lm.spike.R                                |  121 +++-----
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More information about BoomSpikeSlab at CRAN
Permanent link

Package Boom updated to version 0.3 with previous version 0.2 dated 2014-12-03

Title: Bayesian Object Oriented Modeling
Description: A C++ library for Bayesian modeling, with an emphasis on Markov chain Monte Carlo. Although boom contains a few R utilities (mainly plotting functions), its primary purpose is to install the BOOM C++ library on your system so that other packages can link against it.
Author: Steven L. Scott is the sole author and creator of the BOOM project. Some code in the BOOM libraries has been modified from other open source projects. These include Cephes (obtained from Netlib, written by Stephen L. Moshier), NEWUOA (M.J.D Powell, obtained from Powell's web site), and a modified version of the R math libraries (R core development team). Original copyright notices have been maintained in all source files. In these cases, copyright claimed by Steven L. Scott is limited to modifications made to the original code.
Maintainer: Steve Scott <stevescott@google.com>

Diff between Boom versions 0.2 dated 2014-12-03 and 0.3 dated 2016-03-15

 Boom-0.2/Boom/inst/include/Models/CompositeEmMixtureComponent.hpp                                                  |only
 Boom-0.2/Boom/inst/include/Models/Policies/ConjugatePriorPolicy.hpp                                                |only
 Boom-0.2/Boom/inst/include/Models/StateSpace/Filters/ScalarHomogeneousKalmanFilter.hpp                             |only
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 Boom-0.2/Boom/inst/include/TargetFun/FpTargetFun.hpp                                                               |only
 Boom-0.2/Boom/src/Models/CompositeEmMixtureComponent.cpp                                                           |only
 Boom-0.2/Boom/src/Models/EmMixtureComponent.cpp                                                                    |only
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 Boom-0.3/Boom/DESCRIPTION                                                                                          |    9 
 Boom-0.3/Boom/MD5                                                                                                  | 1273 +++++-----
 Boom-0.3/Boom/NAMESPACE                                                                                            |    7 
 Boom-0.3/Boom/R/check.data.R                                                                                       |    7 
 Boom-0.3/Boom/R/compare.many.densities.R                                                                           |   14 
 Boom-0.3/Boom/R/histabunch.R                                                                                       |only
 Boom-0.3/Boom/R/plot.dynamic.distribution.R                                                                        |   98 
 Boom-0.3/Boom/R/prior_specification.R                                                                              |   54 
 Boom-0.3/Boom/R/suggest_burn_log_likelihood.R                                                                      |only
 Boom-0.3/Boom/inst/include/LinAlg/Array.hpp                                                                        |   51 
 Boom-0.3/Boom/inst/include/LinAlg/CorrelationMatrix.hpp                                                            |    6 
 Boom-0.3/Boom/inst/include/LinAlg/DiagonalMatrix.hpp                                                               |  253 +
 Boom-0.3/Boom/inst/include/LinAlg/LinAlgExceptions.hpp                                                             |    8 
 Boom-0.3/Boom/inst/include/LinAlg/Matrix.hpp                                                                       |  541 ++--
 Boom-0.3/Boom/inst/include/LinAlg/Selector.hpp                                                                     |  210 +
 Boom-0.3/Boom/inst/include/LinAlg/SpdMatrix.hpp                                                                    |   55 
 Boom-0.3/Boom/inst/include/LinAlg/Types.hpp                                                                        |    3 
 Boom-0.3/Boom/inst/include/LinAlg/Vector.hpp                                                                       |   50 
 Boom-0.3/Boom/inst/include/LinAlg/VectorView.hpp                                                                   |   23 
 Boom-0.3/Boom/inst/include/LinAlg/blas.hpp                                                                         |    5 
 Boom-0.3/Boom/inst/include/Models/Bart/Bart.hpp                                                                    |   22 
 Boom-0.3/Boom/inst/include/Models/Bart/GaussianBartModel.hpp                                                       |    8 
 Boom-0.3/Boom/inst/include/Models/Bart/GaussianLinearBartModel.hpp                                                 |    6 
 Boom-0.3/Boom/inst/include/Models/Bart/LogitBartModel.hpp                                                          |    8 
 Boom-0.3/Boom/inst/include/Models/Bart/PoissonBartModel.hpp                                                        |    8 
 Boom-0.3/Boom/inst/include/Models/Bart/PosteriorSamplers/BartPosteriorSampler.hpp                                  |    9 
 Boom-0.3/Boom/inst/include/Models/Bart/PosteriorSamplers/GaussianBartPosteriorSampler.hpp                          |   39 
 Boom-0.3/Boom/inst/include/Models/Bart/PosteriorSamplers/GaussianLinearBartPosteriorSampler.hpp                    |    7 
 Boom-0.3/Boom/inst/include/Models/Bart/PosteriorSamplers/LogitBartPosteriorSampler.hpp                             |   39 
 Boom-0.3/Boom/inst/include/Models/Bart/PosteriorSamplers/PoissonBartPosteriorSampler.hpp                           |   35 
 Boom-0.3/Boom/inst/include/Models/Bart/PosteriorSamplers/ProbitBartPosteriorSampler.hpp                            |   39 
 Boom-0.3/Boom/inst/include/Models/Bart/ProbitBartModel.hpp                                                         |    8 
 Boom-0.3/Boom/inst/include/Models/BetaBinomialModel.hpp                                                            |   54 
 Boom-0.3/Boom/inst/include/Models/BetaModel.hpp                                                                    |   28 
 Boom-0.3/Boom/inst/include/Models/BinomialModel.hpp                                                                |   45 
 Boom-0.3/Boom/inst/include/Models/CategoricalData.hpp                                                              |   66 
 Boom-0.3/Boom/inst/include/Models/ChisqModel.hpp                                                                   |   18 
 Boom-0.3/Boom/inst/include/Models/CompositeData.hpp                                                                |    4 
 Boom-0.3/Boom/inst/include/Models/CompositeModel.hpp                                                               |   10 
 Boom-0.3/Boom/inst/include/Models/ConstrainedVectorParams.hpp                                                      |   48 
 Boom-0.3/Boom/inst/include/Models/DataPair.hpp                                                                     |    4 
 Boom-0.3/Boom/inst/include/Models/DataTypes.hpp                                                                    |   81 
 Boom-0.3/Boom/inst/include/Models/DirichletModel.hpp                                                               |   69 
 Boom-0.3/Boom/inst/include/Models/DiscreteUniformModel.hpp                                                         |only
 Boom-0.3/Boom/inst/include/Models/DoubleModel.hpp                                                                  |   16 
 Boom-0.3/Boom/inst/include/Models/EmMixtureComponent.hpp                                                           |   12 
 Boom-0.3/Boom/inst/include/Models/ExponentialModel.hpp                                                             |   40 
 Boom-0.3/Boom/inst/include/Models/FiniteMixtureModel.hpp                                                           |   28 
 Boom-0.3/Boom/inst/include/Models/GammaModel.hpp                                                                   |   44 
 Boom-0.3/Boom/inst/include/Models/GaussianModel.hpp                                                                |   34 
 Boom-0.3/Boom/inst/include/Models/GaussianModelBase.hpp                                                            |   51 
 Boom-0.3/Boom/inst/include/Models/GaussianModelGivenSigma.hpp                                                      |   12 
 Boom-0.3/Boom/inst/include/Models/Glm/AggregatedRegressionModel.hpp                                                |   48 
 Boom-0.3/Boom/inst/include/Models/Glm/BinomialLogitModel.hpp                                                       |   54 
 Boom-0.3/Boom/inst/include/Models/Glm/BinomialRegressionData.hpp                                                   |   38 
 Boom-0.3/Boom/inst/include/Models/Glm/ChoiceData.hpp                                                               |   20 
 Boom-0.3/Boom/inst/include/Models/Glm/CumulativeLogitModel.hpp                                                     |   12 
 Boom-0.3/Boom/inst/include/Models/Glm/CumulativeProbitModel.hpp                                                    |   12 
 Boom-0.3/Boom/inst/include/Models/Glm/Glm.hpp                                                                      |  224 -
 Boom-0.3/Boom/inst/include/Models/Glm/GlmCoefs.hpp                                                                 |   12 
 Boom-0.3/Boom/inst/include/Models/Glm/GlmMvnPriorBase.hpp                                                          |   28 
 Boom-0.3/Boom/inst/include/Models/Glm/HierarchicalPoissonRegression.hpp                                            |    8 
 Boom-0.3/Boom/inst/include/Models/Glm/LogisticRegressionModel.hpp                                                  |   69 
 Boom-0.3/Boom/inst/include/Models/Glm/ModelSelectionConcepts.hpp                                                   |   32 
 Boom-0.3/Boom/inst/include/Models/Glm/MultinomialLogitModel.hpp                                                    |   82 
 Boom-0.3/Boom/inst/include/Models/Glm/MultinomialProbitModel.hpp                                                   |   72 
 Boom-0.3/Boom/inst/include/Models/Glm/MvReg2.hpp                                                                   |  154 -
 Boom-0.3/Boom/inst/include/Models/Glm/MvnGivenX.hpp                                                                |   48 
 Boom-0.3/Boom/inst/include/Models/Glm/MvnGivenXandSigma.hpp                                                        |   16 
 Boom-0.3/Boom/inst/include/Models/Glm/MvtRegModel.hpp                                                              |   32 
 Boom-0.3/Boom/inst/include/Models/Glm/OrdinalCutpointModel.hpp                                                     |   48 
 Boom-0.3/Boom/inst/include/Models/Glm/PoissonRegressionData.hpp                                                    |   31 
 Boom-0.3/Boom/inst/include/Models/Glm/PoissonRegressionModel.hpp                                                   |   26 
 Boom-0.3/Boom/inst/include/Models/Glm/PosteriorSamplers/AggregatedRegressionSampler.hpp                            |    7 
 Boom-0.3/Boom/inst/include/Models/Glm/PosteriorSamplers/BinomialLogitAuxmixSampler.hpp                             |   43 
 Boom-0.3/Boom/inst/include/Models/Glm/PosteriorSamplers/BinomialLogitCompositeSpikeSlabSampler.hpp                 |   38 
 Boom-0.3/Boom/inst/include/Models/Glm/PosteriorSamplers/BinomialLogitDataImputer.hpp                               |   32 
 Boom-0.3/Boom/inst/include/Models/Glm/PosteriorSamplers/BinomialLogitSamplerRwm.hpp                                |    7 
 Boom-0.3/Boom/inst/include/Models/Glm/PosteriorSamplers/BinomialLogitSamplerTim.hpp                                |   38 
 Boom-0.3/Boom/inst/include/Models/Glm/PosteriorSamplers/BinomialLogitSpikeSlabSampler.hpp                          |   30 
 Boom-0.3/Boom/inst/include/Models/Glm/PosteriorSamplers/BregVsSampler.hpp                                          |   62 
 Boom-0.3/Boom/inst/include/Models/Glm/PosteriorSamplers/CumulativeLogitSampler.hpp                                 |   15 
 Boom-0.3/Boom/inst/include/Models/Glm/PosteriorSamplers/CumulativeProbitSampler.hpp                                |   15 
 Boom-0.3/Boom/inst/include/Models/Glm/PosteriorSamplers/DAFE_MLM.hpp                                               |   45 
 Boom-0.3/Boom/inst/include/Models/Glm/PosteriorSamplers/HierarchicalPoissonRegressionSampler.hpp                   |   21 
 Boom-0.3/Boom/inst/include/Models/Glm/PosteriorSamplers/LogitSampler.hpp                                           |   22 
 Boom-0.3/Boom/inst/include/Models/Glm/PosteriorSamplers/LogitSamplerBma.hpp                                        |   11 
 Boom-0.3/Boom/inst/include/Models/Glm/PosteriorSamplers/MLAuxMixSampler.hpp                                        |    7 
 Boom-0.3/Boom/inst/include/Models/Glm/PosteriorSamplers/MLVS.hpp                                                   |   17 
 Boom-0.3/Boom/inst/include/Models/Glm/PosteriorSamplers/MLVS_data_imputer.hpp                                      |   18 
 Boom-0.3/Boom/inst/include/Models/Glm/PosteriorSamplers/MlogitRwm.hpp                                              |   16 
 Boom-0.3/Boom/inst/include/Models/Glm/PosteriorSamplers/MnpBetaGivenSigmaSampler.hpp                               |   14 
 Boom-0.3/Boom/inst/include/Models/Glm/PosteriorSamplers/MnpBetaSampler.hpp                                         |    7 
 Boom-0.3/Boom/inst/include/Models/Glm/PosteriorSamplers/MultinomialLogitCompleteDataSuf.hpp                        |    4 
 Boom-0.3/Boom/inst/include/Models/Glm/PosteriorSamplers/MultinomialLogitCompositeSpikeSlabSampler.hpp              |    5 
 Boom-0.3/Boom/inst/include/Models/Glm/PosteriorSamplers/MvRegSampler.hpp                                           |   13 
 Boom-0.3/Boom/inst/include/Models/Glm/PosteriorSamplers/MvtRegSampler.hpp                                          |   12 
 Boom-0.3/Boom/inst/include/Models/Glm/PosteriorSamplers/NormalMixtureApproximation.hpp                             |    4 
 Boom-0.3/Boom/inst/include/Models/Glm/PosteriorSamplers/PartRegSampler.hpp                                         |   40 
 Boom-0.3/Boom/inst/include/Models/Glm/PosteriorSamplers/PoissonRegressionAuxMixSampler.hpp                         |   34 
 Boom-0.3/Boom/inst/include/Models/Glm/PosteriorSamplers/PoissonRegressionRwmSampler.hpp                            |    7 
 Boom-0.3/Boom/inst/include/Models/Glm/PosteriorSamplers/PoissonRegressionSpikeSlabSampler.hpp                      |   20 
 Boom-0.3/Boom/inst/include/Models/Glm/PosteriorSamplers/ProbitRegressionSampler.hpp                                |   17 
 Boom-0.3/Boom/inst/include/Models/Glm/PosteriorSamplers/ProbitSpikeSlabSampler.hpp                                 |   17 
 Boom-0.3/Boom/inst/include/Models/Glm/PosteriorSamplers/RegressionConjSampler.hpp                                  |   20 
 Boom-0.3/Boom/inst/include/Models/Glm/PosteriorSamplers/SpikeSlabDaRegressionSampler.hpp                           |    7 
 Boom-0.3/Boom/inst/include/Models/Glm/PosteriorSamplers/SpikeSlabSampler.hpp                                       |   48 
 Boom-0.3/Boom/inst/include/Models/Glm/PosteriorSamplers/TDataImputer.hpp                                           |only
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 Boom-0.3/Boom/inst/include/Models/Glm/PosteriorSamplers/VsPriorSampler.hpp                                         |   15 
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 Boom-0.3/Boom/inst/include/Models/Glm/ProbitRegression.hpp                                                         |   28 
 Boom-0.3/Boom/inst/include/Models/Glm/RegressionModel.hpp                                                          |  258 +-
 Boom-0.3/Boom/inst/include/Models/Glm/TRegression.hpp                                                              |   82 
 Boom-0.3/Boom/inst/include/Models/Glm/VariableSelectionPrior.hpp                                                   |   38 
 Boom-0.3/Boom/inst/include/Models/Glm/WeightedRegressionModel.hpp                                                  |   68 
 Boom-0.3/Boom/inst/include/Models/Glm/ZeroInflatedLognormalRegression.hpp                                          |only
 Boom-0.3/Boom/inst/include/Models/Glm/ZeroInflatedPoissonRegression.hpp                                            |only
 Boom-0.3/Boom/inst/include/Models/HMM/Clickstream/NestedHmm.hpp                                                    |   38 
 Boom-0.3/Boom/inst/include/Models/HMM/Clickstream/PosteriorSamplers/NestedHmmPosteriorSampler.hpp                  |    7 
 Boom-0.3/Boom/inst/include/Models/HMM/Clickstream/Session.hpp                                                      |    2 
 Boom-0.3/Boom/inst/include/Models/HMM/Clickstream/Stream.hpp                                                       |    4 
 Boom-0.3/Boom/inst/include/Models/HMM/HMM2.hpp                                                                     |   20 
 Boom-0.3/Boom/inst/include/Models/HMM/HealthStateModel.hpp                                                         |   20 
 Boom-0.3/Boom/inst/include/Models/HMM/HmmFilter.hpp                                                                |   16 
 Boom-0.3/Boom/inst/include/Models/HMM/PosteriorSamplers/HmmPosteriorSampler.hpp                                    |    9 
 Boom-0.3/Boom/inst/include/Models/HMM/hmm_tools.hpp                                                                |    6 
 Boom-0.3/Boom/inst/include/Models/Hierarchical/HierarchicalDirichletModel.hpp                                      |only
 Boom-0.3/Boom/inst/include/Models/Hierarchical/HierarchicalGammaModel.hpp                                          |   14 
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 Boom-0.3/Boom/inst/include/Models/Hierarchical/HierarchicalPoissonModel.hpp                                        |   50 
 Boom-0.3/Boom/inst/include/Models/Hierarchical/HierarchicalZeroInflatedGammaModel.hpp                              |   25 
 Boom-0.3/Boom/inst/include/Models/Hierarchical/HierarchicalZeroInflatedPoissonModel.hpp                            |   20 
 Boom-0.3/Boom/inst/include/Models/Hierarchical/PosteriorSamplers/HierarchicalDirichletPosteriorSampler.hpp         |only
 Boom-0.3/Boom/inst/include/Models/Hierarchical/PosteriorSamplers/HierarchicalGammaSampler.hpp                      |    7 
 Boom-0.3/Boom/inst/include/Models/Hierarchical/PosteriorSamplers/HierarchicalPoissonSampler.hpp                    |   27 
 Boom-0.3/Boom/inst/include/Models/Hierarchical/PosteriorSamplers/HierarchicalZeroInflatedGammaSampler.hpp          |    7 
 Boom-0.3/Boom/inst/include/Models/Hierarchical/PosteriorSamplers/HierarchicalZeroInflatedPoissonSampler.hpp        |    7 
 Boom-0.3/Boom/inst/include/Models/IRT/DafePcr.hpp                                                                  |   42 
 Boom-0.3/Boom/inst/include/Models/IRT/DafePcrRwm.hpp                                                               |   26 
 Boom-0.3/Boom/inst/include/Models/IRT/IrtModel.hpp                                                                 |   14 
 Boom-0.3/Boom/inst/include/Models/IRT/Item.hpp                                                                     |   84 
 Boom-0.3/Boom/inst/include/Models/IRT/ItemDataPolicy.hpp                                                           |    2 
 Boom-0.3/Boom/inst/include/Models/IRT/ItemSliceSampler.hpp                                                         |    6 
 Boom-0.3/Boom/inst/include/Models/IRT/PartialCreditModel.hpp                                                       |   56 
 Boom-0.3/Boom/inst/include/Models/IRT/PcrNid.hpp                                                                   |   12 
 Boom-0.3/Boom/inst/include/Models/IRT/Subject.hpp                                                                  |   16 
 Boom-0.3/Boom/inst/include/Models/IRT/SubjectPrior.hpp                                                             |   38 
 Boom-0.3/Boom/inst/include/Models/IRT/SubjectSliceSampler.hpp                                                      |   13 
 Boom-0.3/Boom/inst/include/Models/IRT/Subject_prior.hpp                                                            |   12 
 Boom-0.3/Boom/inst/include/Models/IRT/multisubscale_logit_cutpoint_model.hpp                                       |    8 
 Boom-0.3/Boom/inst/include/Models/IndependentMvnModel.hpp                                                          |   88 
 Boom-0.3/Boom/inst/include/Models/IndependentMvnModelGivenScalarSigma.hpp                                          |   16 
 Boom-0.3/Boom/inst/include/Models/LognormalModel.hpp                                                               |only
 Boom-0.3/Boom/inst/include/Models/MarginallyUniformCorrelationModel.hpp                                            |    6 
 Boom-0.3/Boom/inst/include/Models/MarkovModel.hpp                                                                  |   94 
 Boom-0.3/Boom/inst/include/Models/Mixtures/ConditionalFiniteMixtureModel.hpp                                       |   16 
 Boom-0.3/Boom/inst/include/Models/Mixtures/DirichletProcessMvnModel.hpp                                            |only
 Boom-0.3/Boom/inst/include/Models/Mixtures/PosteriorSamplers/ConditionalFiniteMixtureSampler.hpp                   |    7 
 Boom-0.3/Boom/inst/include/Models/Mixtures/PosteriorSamplers/DirichletProcessMvnCollapsedGibbsSampler.hpp          |only
 Boom-0.3/Boom/inst/include/Models/ModelTypes.hpp                                                                   |  150 -
 Boom-0.3/Boom/inst/include/Models/MultinomialModel.hpp                                                             |   66 
 Boom-0.3/Boom/inst/include/Models/MvnBase.hpp                                                                      |   95 
 Boom-0.3/Boom/inst/include/Models/MvnGivenScalarSigma.hpp                                                          |   35 
 Boom-0.3/Boom/inst/include/Models/MvnGivenSigma.hpp                                                                |   36 
 Boom-0.3/Boom/inst/include/Models/MvnModel.hpp                                                                     |   47 
 Boom-0.3/Boom/inst/include/Models/MvtModel.hpp                                                                     |   43 
 Boom-0.3/Boom/inst/include/Models/Nonparametric                                                                    |only
 Boom-0.3/Boom/inst/include/Models/ParamTypes.hpp                                                                   |   80 
 Boom-0.3/Boom/inst/include/Models/PointProcess/CosinePoissonProcess.hpp                                            |   16 
 Boom-0.3/Boom/inst/include/Models/PointProcess/HomogeneousPoissonProcess.hpp                                       |   44 
 Boom-0.3/Boom/inst/include/Models/PointProcess/MarkovModulatedPoissonProcess.hpp                                   |   16 
 Boom-0.3/Boom/inst/include/Models/PointProcess/PointProcess.hpp                                                    |    8 
 Boom-0.3/Boom/inst/include/Models/PointProcess/PoissonClusterProcess.hpp                                           |   26 
 Boom-0.3/Boom/inst/include/Models/PointProcess/PoissonProcess.hpp                                                  |    2 
 Boom-0.3/Boom/inst/include/Models/PointProcess/PosteriorSamplers/HomogeneousPoissonProcessPosteriorSampler.hpp     |    7 
 Boom-0.3/Boom/inst/include/Models/PointProcess/PosteriorSamplers/MarkovModulatedPoissonProcessPosteriorSampler.hpp |    7 
 Boom-0.3/Boom/inst/include/Models/PointProcess/PosteriorSamplers/PoissonClusterPosteriorSampler.hpp                |    6 
 Boom-0.3/Boom/inst/include/Models/PointProcess/PosteriorSamplers/WeeklyCyclePoissonProcessSampler.hpp              |    7 
 Boom-0.3/Boom/inst/include/Models/PointProcess/WeeklyCyclePoissonProcess.hpp                                       |   74 
 Boom-0.3/Boom/inst/include/Models/PoissonGammaModel.hpp                                                            |   10 
 Boom-0.3/Boom/inst/include/Models/PoissonModel.hpp                                                                 |   54 
 Boom-0.3/Boom/inst/include/Models/Policies/CompositeParamPolicy.hpp                                                |   10 
 Boom-0.3/Boom/inst/include/Models/Policies/IID_DataPolicy.hpp                                                      |   15 
 Boom-0.3/Boom/inst/include/Models/Policies/ManyParamPolicy.hpp                                                     |    7 
 Boom-0.3/Boom/inst/include/Models/Policies/MixtureDataPolicy.hpp                                                   |   12 
 Boom-0.3/Boom/inst/include/Models/Policies/NonparametricParamPolicy.hpp                                            |    4 
 Boom-0.3/Boom/inst/include/Models/Policies/NullDataPolicy.hpp                                                      |    6 
 Boom-0.3/Boom/inst/include/Models/Policies/NullParamPolicy.hpp                                                     |    6 
 Boom-0.3/Boom/inst/include/Models/Policies/ParamPolicy_1.hpp                                                       |   17 
 Boom-0.3/Boom/inst/include/Models/Policies/ParamPolicy_2.hpp                                                       |   13 
 Boom-0.3/Boom/inst/include/Models/Policies/ParamPolicy_3.hpp                                                       |   13 
 Boom-0.3/Boom/inst/include/Models/Policies/ParamPolicy_4.hpp                                                       |   13 
 Boom-0.3/Boom/inst/include/Models/Policies/PriorPolicy.hpp                                                         |   30 
 Boom-0.3/Boom/inst/include/Models/Policies/SufstatDataPolicy.hpp                                                   |    5 
 Boom-0.3/Boom/inst/include/Models/Policies/SufstatOnlyDataPolicy.hpp                                               |    2 
 Boom-0.3/Boom/inst/include/Models/PosteriorSamplers/AbsorbingMarkovConjSampler.hpp                                 |   34 
 Boom-0.3/Boom/inst/include/Models/PosteriorSamplers/BetaBinomialPosteriorSampler.hpp                               |  210 +
 Boom-0.3/Boom/inst/include/Models/PosteriorSamplers/BetaBinomialSampler.hpp                                        |    9 
 Boom-0.3/Boom/inst/include/Models/PosteriorSamplers/BetaPosteriorSampler.hpp                                       |    7 
 Boom-0.3/Boom/inst/include/Models/PosteriorSamplers/CompositeModelSampler.hpp                                      |    7 
 Boom-0.3/Boom/inst/include/Models/PosteriorSamplers/CompositeSampler.hpp                                           |   21 
 Boom-0.3/Boom/inst/include/Models/PosteriorSamplers/CorrelationSampler.hpp                                         |   29 
 Boom-0.3/Boom/inst/include/Models/PosteriorSamplers/DirichletPosteriorSampler.hpp                                  |  398 ++-
 Boom-0.3/Boom/inst/include/Models/PosteriorSamplers/ExchangeableDirichletSampler.hpp                               |    7 
 Boom-0.3/Boom/inst/include/Models/PosteriorSamplers/ExponentialGammaSampler.hpp                                    |    9 
 Boom-0.3/Boom/inst/include/Models/PosteriorSamplers/FiniteMixturePosteriorSampler.hpp                              |    9 
 Boom-0.3/Boom/inst/include/Models/PosteriorSamplers/FixedProbBinomialSampler.hpp                                   |    7 
 Boom-0.3/Boom/inst/include/Models/PosteriorSamplers/FixedSpdSampler.hpp                                            |   18 
 Boom-0.3/Boom/inst/include/Models/PosteriorSamplers/FixedUnivariateSampler.hpp                                     |   10 
 Boom-0.3/Boom/inst/include/Models/PosteriorSamplers/GammaPosteriorSampler.hpp                                      |   14 
 Boom-0.3/Boom/inst/include/Models/PosteriorSamplers/GaussianConjSampler.hpp                                        |   16 
 Boom-0.3/Boom/inst/include/Models/PosteriorSamplers/GaussianMeanSampler.hpp                                        |   10 
 Boom-0.3/Boom/inst/include/Models/PosteriorSamplers/GaussianVarSampler.hpp                                         |   26 
 Boom-0.3/Boom/inst/include/Models/PosteriorSamplers/GenericGaussianVarianceSampler.hpp                             |    7 
 Boom-0.3/Boom/inst/include/Models/PosteriorSamplers/Imputer.hpp                                                    |    9 
 Boom-0.3/Boom/inst/include/Models/PosteriorSamplers/IndependentMvnConjSampler.hpp                                  |   28 
 Boom-0.3/Boom/inst/include/Models/PosteriorSamplers/IndependentMvnVarSampler.hpp                                   |only
 Boom-0.3/Boom/inst/include/Models/PosteriorSamplers/MarkovConjSampler.hpp                                          |   40 
 Boom-0.3/Boom/inst/include/Models/PosteriorSamplers/MarkovConjShrinkageSampler.hpp                                 |   18 
 Boom-0.3/Boom/inst/include/Models/PosteriorSamplers/MultinomialDirichletSampler.hpp                                |   17 
 Boom-0.3/Boom/inst/include/Models/PosteriorSamplers/MvnConjSampler.hpp                                             |   27 
 Boom-0.3/Boom/inst/include/Models/PosteriorSamplers/MvnIndependentVarianceSampler.hpp                              |    7 
 Boom-0.3/Boom/inst/include/Models/PosteriorSamplers/MvnMeanSampler.hpp                                             |   32 
 Boom-0.3/Boom/inst/include/Models/PosteriorSamplers/MvnVarSampler.hpp                                              |   22 
 Boom-0.3/Boom/inst/include/Models/PosteriorSamplers/PoissonGammaPosteriorSampler.hpp                               |    7 
 Boom-0.3/Boom/inst/include/Models/PosteriorSamplers/PoissonGammaSampler.hpp                                        |   14 
 Boom-0.3/Boom/inst/include/Models/PosteriorSamplers/PosteriorSampler.hpp                                           |   41 
 Boom-0.3/Boom/inst/include/Models/PosteriorSamplers/ProductDirichletPosteriorSampler.hpp                           |   10 
 Boom-0.3/Boom/inst/include/Models/PosteriorSamplers/SepStratSampler.hpp                                            |   32 
 Boom-0.3/Boom/inst/include/Models/PosteriorSamplers/SharedSigsqSampler.hpp                                         |    9 
 Boom-0.3/Boom/inst/include/Models/PosteriorSamplers/ZeroInflatedGammaPosteriorSampler.hpp                          |    7 
 Boom-0.3/Boom/inst/include/Models/PosteriorSamplers/ZeroInflatedLognormalPosteriorSampler.hpp                      |    9 
 Boom-0.3/Boom/inst/include/Models/PosteriorSamplers/ZeroInflatedPoissonSampler.hpp                                 |    7 
 Boom-0.3/Boom/inst/include/Models/PosteriorSamplers/ZeroMeanGaussianConjSampler.hpp                                |   14 
 Boom-0.3/Boom/inst/include/Models/PosteriorSamplers/ZeroMeanMvnConjSampler.hpp                                     |   12 
 Boom-0.3/Boom/inst/include/Models/PosteriorSamplers/ZeroMeanMvnIndependenceSampler.hpp                             |   17 
 Boom-0.3/Boom/inst/include/Models/ProductDirichletModel.hpp                                                        |   44 
 Boom-0.3/Boom/inst/include/Models/ProductModel.hpp                                                                 |    4 
 Boom-0.3/Boom/inst/include/Models/ScaledChisqModel.hpp                                                             |   11 
 Boom-0.3/Boom/inst/include/Models/SpdData.hpp                                                                      |   54 
 Boom-0.3/Boom/inst/include/Models/SpdModel.hpp                                                                     |    6 
 Boom-0.3/Boom/inst/include/Models/SpdParams.hpp                                                                    |   16 
 Boom-0.3/Boom/inst/include/Models/StateSpace/AggregatedStateSpaceRegression.hpp                                    |  114 
 Boom-0.3/Boom/inst/include/Models/StateSpace/Filters/KalmanTools.hpp                                               |   62 
 Boom-0.3/Boom/inst/include/Models/StateSpace/Filters/ScalarKalmanStorage.hpp                                       |   21 
 Boom-0.3/Boom/inst/include/Models/StateSpace/Filters/SparseKalmanTools.hpp                                         |  128 -
 Boom-0.3/Boom/inst/include/Models/StateSpace/Filters/SparseMatrix.hpp                                              |  449 ++-
 Boom-0.3/Boom/inst/include/Models/StateSpace/Filters/SparseVector.hpp                                              |   31 
 Boom-0.3/Boom/inst/include/Models/StateSpace/PosteriorSamplers/AggregatedStateSpacePosteriorSampler.hpp            |    7 
 Boom-0.3/Boom/inst/include/Models/StateSpace/PosteriorSamplers/DynamicRegressionPosteriorSampler.hpp               |    7 
 Boom-0.3/Boom/inst/include/Models/StateSpace/PosteriorSamplers/StateSpaceLogitPosteriorSampler.hpp                 |only
 Boom-0.3/Boom/inst/include/Models/StateSpace/PosteriorSamplers/StateSpacePoissonPosteriorSampler.hpp               |only
 Boom-0.3/Boom/inst/include/Models/StateSpace/PosteriorSamplers/StateSpacePosteriorSampler.hpp                      |   15 
 Boom-0.3/Boom/inst/include/Models/StateSpace/PosteriorSamplers/StateSpaceStudentPosteriorSampler.hpp               |only
 Boom-0.3/Boom/inst/include/Models/StateSpace/PosteriorSamplers/StudentLocalLinearTrendPosteriorSampler.hpp         |    7 
 Boom-0.3/Boom/inst/include/Models/StateSpace/PosteriorSamplers/SufstatManager.hpp                                  |only
 Boom-0.3/Boom/inst/include/Models/StateSpace/StateModels/ArStateModel.hpp                                          |   28 
 Boom-0.3/Boom/inst/include/Models/StateSpace/StateModels/DynamicRegressionStateModel.hpp                           |   32 
 Boom-0.3/Boom/inst/include/Models/StateSpace/StateModels/Holiday.hpp                                               |   24 
 Boom-0.3/Boom/inst/include/Models/StateSpace/StateModels/LocalLevelStateModel.hpp                                  |   32 
 Boom-0.3/Boom/inst/include/Models/StateSpace/StateModels/LocalLinearTrend.hpp                                      |   30 
 Boom-0.3/Boom/inst/include/Models/StateSpace/StateModels/LocalLinearTrendMeanRevertingSlope.hpp                    |   44 
 Boom-0.3/Boom/inst/include/Models/StateSpace/StateModels/RandomWalkHolidayStateModel.hpp                           |   30 
 Boom-0.3/Boom/inst/include/Models/StateSpace/StateModels/RegressionStateModel.hpp                                  |   24 
 Boom-0.3/Boom/inst/include/Models/StateSpace/StateModels/SeasonalStateModel.hpp                                    |   32 
 Boom-0.3/Boom/inst/include/Models/StateSpace/StateModels/StateModel.hpp                                            |    9 
 Boom-0.3/Boom/inst/include/Models/StateSpace/StateModels/StudentLocalLinearTrend.hpp                               |   38 
 Boom-0.3/Boom/inst/include/Models/StateSpace/StateModels/TrigStateModel.hpp                                        |only
 Boom-0.3/Boom/inst/include/Models/StateSpace/StateSpaceLogitModel.hpp                                              |only
 Boom-0.3/Boom/inst/include/Models/StateSpace/StateSpaceModel.hpp                                                   |   32 
 Boom-0.3/Boom/inst/include/Models/StateSpace/StateSpaceModelBase.hpp                                               |  171 -
 Boom-0.3/Boom/inst/include/Models/StateSpace/StateSpaceNormalMixture.hpp                                           |only
 Boom-0.3/Boom/inst/include/Models/StateSpace/StateSpacePoissonModel.hpp                                            |only
 Boom-0.3/Boom/inst/include/Models/StateSpace/StateSpaceRegressionModel.hpp                                         |   50 
 Boom-0.3/Boom/inst/include/Models/StateSpace/StateSpaceStudentRegressionModel.hpp                                  |only
 Boom-0.3/Boom/inst/include/Models/Sufstat.hpp                                                                      |   12 
 Boom-0.3/Boom/inst/include/Models/TimeSeries/ArModel.hpp                                                           |   42 
 Boom-0.3/Boom/inst/include/Models/TimeSeries/NonzeroMeanAr1Model.hpp                                               |   26 
 Boom-0.3/Boom/inst/include/Models/TimeSeries/PosteriorSamplers/ArPosteriorSampler.hpp                              |    7 
 Boom-0.3/Boom/inst/include/Models/TimeSeries/PosteriorSamplers/NonzeroMeanAr1Sampler.hpp                           |    7 
 Boom-0.3/Boom/inst/include/Models/TimeSeries/TimeSeries.hpp                                                        |    6 
 Boom-0.3/Boom/inst/include/Models/TimeSeries/TimeSeriesDataPolicy.hpp                                              |    2 
 Boom-0.3/Boom/inst/include/Models/TimeSeries/TimeSeriesSufstatDataPolicy.hpp                                       |    6 
 Boom-0.3/Boom/inst/include/Models/TruncatedGammaModel.hpp                                                          |    2 
 Boom-0.3/Boom/inst/include/Models/UniformCorrelationModel.hpp                                                      |    6 
 Boom-0.3/Boom/inst/include/Models/UniformModel.hpp                                                                 |   30 
 Boom-0.3/Boom/inst/include/Models/VectorModel.hpp                                                                  |   40 
 Boom-0.3/Boom/inst/include/Models/WeightedData.hpp                                                                 |    4 
 Boom-0.3/Boom/inst/include/Models/WeightedGaussianSuf.hpp                                                          |   20 
 Boom-0.3/Boom/inst/include/Models/WeightedMvnModel.hpp                                                             |   56 
 Boom-0.3/Boom/inst/include/Models/WishartModel.hpp                                                                 |  100 
 Boom-0.3/Boom/inst/include/Models/ZeroInflatedGammaModel.hpp                                                       |   18 
 Boom-0.3/Boom/inst/include/Models/ZeroInflatedLognormalModel.hpp                                                   |   29 
 Boom-0.3/Boom/inst/include/Models/ZeroInflatedPoissonModel.hpp                                                     |   24 
 Boom-0.3/Boom/inst/include/Models/ZeroMeanGaussianModel.hpp                                                        |   29 
 Boom-0.3/Boom/inst/include/Models/ZeroMeanMvnModel.hpp                                                             |   27 
 Boom-0.3/Boom/inst/include/Samplers/ARMS.hpp                                                                       |   18 
 Boom-0.3/Boom/inst/include/Samplers/DirectProposal.hpp                                                             |only
 Boom-0.3/Boom/inst/include/Samplers/ImportanceResampler.hpp                                                        |only
 Boom-0.3/Boom/inst/include/Samplers/MH_Proposals.hpp                                                               |   89 
 Boom-0.3/Boom/inst/include/Samplers/MetropolisHastings.hpp                                                         |   16 
 Boom-0.3/Boom/inst/include/Samplers/RejectionSampler.hpp                                                           |only
 Boom-0.3/Boom/inst/include/Samplers/Sampler.hpp                                                                    |   13 
 Boom-0.3/Boom/inst/include/Samplers/ScalarAdaptiveRejectionSampler.hpp                                             |only
 Boom-0.3/Boom/inst/include/Samplers/ScalarLangevinSampler.hpp                                                      |only
 Boom-0.3/Boom/inst/include/Samplers/ScalarSliceSampler.hpp                                                         |   13 
 Boom-0.3/Boom/inst/include/Samplers/SliceSampler.hpp                                                               |   10 
 Boom-0.3/Boom/inst/include/Samplers/TIM.hpp                                                                        |    7 
 Boom-0.3/Boom/inst/include/Samplers/UnivariateLangevinSampler.hpp                                                  |only
 Boom-0.3/Boom/inst/include/Samplers/UnivariateSliceSampler.hpp                                                     |   58 
 Boom-0.3/Boom/inst/include/TargetFun/JacobianChecker.hpp                                                           |only
 Boom-0.3/Boom/inst/include/TargetFun/LogPost.hpp                                                                   |   14 
 Boom-0.3/Boom/inst/include/TargetFun/Loglike.hpp                                                                   |   14 
 Boom-0.3/Boom/inst/include/TargetFun/ScalarLogpostTF.hpp                                                           |    2 
 Boom-0.3/Boom/inst/include/TargetFun/TargetFun.hpp                                                                 |  119 
 Boom-0.3/Boom/inst/include/TargetFun/Transformation.hpp                                                            |only
 Boom-0.3/Boom/inst/include/cpputil/Date.hpp                                                                        |   61 
 Boom-0.3/Boom/inst/include/cpputil/ParamHolder.hpp                                                                 |   20 
 Boom-0.3/Boom/inst/include/cpputil/ProgressTracker.hpp                                                             |    2 
 Boom-0.3/Boom/inst/include/cpputil/file_utils.hpp                                                                  |    3 
 Boom-0.3/Boom/inst/include/cpputil/lse.hpp                                                                         |   16 
 Boom-0.3/Boom/inst/include/cpputil/permute.hpp                                                                     |    2 
 Boom-0.3/Boom/inst/include/cpputil/rep.hpp                                                                         |    4 
 Boom-0.3/Boom/inst/include/cpputil/stream.hpp                                                                      |only
 Boom-0.3/Boom/inst/include/cpputil/string_utils.hpp                                                                |   31 
 Boom-0.3/Boom/inst/include/distributions.hpp                                                                       |  274 +-
 Boom-0.3/Boom/inst/include/distributions/Markov.hpp                                                                |    8 
 Boom-0.3/Boom/inst/include/numopt/NumericalDerivatives.hpp                                                         |only
 Boom-0.3/Boom/inst/include/r_interface/boom_r_tools.hpp                                                            |   12 
 Boom-0.3/Boom/inst/include/r_interface/create_state_model.hpp                                                      |    3 
 Boom-0.3/Boom/inst/include/r_interface/list_io.hpp                                                                 |  116 
 Boom-0.3/Boom/inst/include/r_interface/prior_specification.hpp                                                     |  134 -
 Boom-0.3/Boom/inst/include/stats/Bspline.hpp                                                                       |only
 Boom-0.3/Boom/inst/include/stats/ChiSquareTest.hpp                                                                 |    8 
 Boom-0.3/Boom/inst/include/stats/DataTable.hpp                                                                     |  157 -
 Boom-0.3/Boom/inst/include/stats/Design.hpp                                                                        |   87 
 Boom-0.3/Boom/inst/include/stats/FreqDist.hpp                                                                      |   70 
 Boom-0.3/Boom/inst/include/stats/NaturalSpline.hpp                                                                 |   44 
 Boom-0.3/Boom/inst/include/stats/Resampler.hpp                                                                     |   98 
 Boom-0.3/Boom/inst/include/stats/Spline.hpp                                                                        |   18 
 Boom-0.3/Boom/inst/include/stats/diff.hpp                                                                          |    6 
 Boom-0.3/Boom/inst/include/stats/moments.hpp                                                                       |   12 
 Boom-0.3/Boom/inst/include/stats/ols.hpp                                                                           |    2 
 Boom-0.3/Boom/inst/include/stats/regression.hpp                                                                    |    2 
 Boom-0.3/Boom/inst/include/uint.hpp                                                                                |    4 
 Boom-0.3/Boom/man/check.data.Rd                                                                                    |    2 
 Boom-0.3/Boom/man/compare.many.densities.Rd                                                                        |    4 
 Boom-0.3/Boom/man/histabunch.Rd                                                                                    |only
 Boom-0.3/Boom/man/normal.prior.Rd                                                                                  |    6 
 Boom-0.3/Boom/man/plot.dynamic.distribution.Rd                                                                     |   18 
 Boom-0.3/Boom/man/suggest.burn.log.likelihood.Rd                                                                   |only
 Boom-0.3/Boom/src/Bmath/Bmath.hpp                                                                                  |   26 
 Boom-0.3/Boom/src/LinAlg/Array.cpp                                                                                 | 1165 ++++-----
 Boom-0.3/Boom/src/LinAlg/CorrelationMatrix.cpp                                                                     |   51 
 Boom-0.3/Boom/src/LinAlg/DiagonalMatrix.cpp                                                                        |  529 ++--
 Boom-0.3/Boom/src/LinAlg/LU.cpp                                                                                    |   23 
 Boom-0.3/Boom/src/LinAlg/LinAlgExceptions.cpp                                                                      |    4 
 Boom-0.3/Boom/src/LinAlg/Matrix.cpp                                                                                |  608 ++--
 Boom-0.3/Boom/src/LinAlg/SVD.cpp                                                                                   |    4 
 Boom-0.3/Boom/src/LinAlg/SWEEP.cpp                                                                                 |   16 
 Boom-0.3/Boom/src/LinAlg/Selector.cpp                                                                              |  589 ++--
 Boom-0.3/Boom/src/LinAlg/SpdMatrix.cpp                                                                             |   34 
 Boom-0.3/Boom/src/LinAlg/SubMatrix.cpp                                                                             |    3 
 Boom-0.3/Boom/src/LinAlg/Vector.cpp                                                                                |   95 
 Boom-0.3/Boom/src/LinAlg/VectorView.cpp                                                                            |    8 
 Boom-0.3/Boom/src/LinAlg/blas.cpp                                                                                  |   80 
 Boom-0.3/Boom/src/Makevars                                                                                         |   13 
 Boom-0.3/Boom/src/Models/Bart/PosteriorSamplers/BartPosteriorSampler.cpp                                           |    6 
 Boom-0.3/Boom/src/Models/Bart/PosteriorSamplers/GaussianBartPosteriorSampler.cpp                                   |    6 
 Boom-0.3/Boom/src/Models/Bart/PosteriorSamplers/GaussianLinearBartPosteriorSampler.cpp                             |    9 
 Boom-0.3/Boom/src/Models/Bart/PosteriorSamplers/LogitBartPosteriorSampler.cpp                                      |    6 
 Boom-0.3/Boom/src/Models/Bart/PosteriorSamplers/PoissonBartPosteriorSampler.cpp                                    |    6 
 Boom-0.3/Boom/src/Models/Bart/PosteriorSamplers/ProbitBartPosteriorSampler.cpp                                     |    6 
 Boom-0.3/Boom/src/Models/BetaBinomialModel.cpp                                                                     |   90 
 Boom-0.3/Boom/src/Models/BetaModel.cpp                                                                             |   12 
 Boom-0.3/Boom/src/Models/BinomialModel.cpp                                                                         |   26 
 Boom-0.3/Boom/src/Models/CategoricalData.cpp                                                                       |  292 +-
 Boom-0.3/Boom/src/Models/ChisqModel.cpp                                                                            |   11 
 Boom-0.3/Boom/src/Models/ConstrainedVectorParams.cpp                                                               |   46 
 Boom-0.3/Boom/src/Models/DataTypes.cpp                                                                             |  119 
 Boom-0.3/Boom/src/Models/DirichletModel.cpp                                                                        |  122 
 Boom-0.3/Boom/src/Models/DiscreteUniformModel.cpp                                                                  |only
 Boom-0.3/Boom/src/Models/ExponentialModel.cpp                                                                      |   21 
 Boom-0.3/Boom/src/Models/FiniteMixtureModel.cpp                                                                    |   28 
 Boom-0.3/Boom/src/Models/GammaModel.cpp                                                                            |   18 
 Boom-0.3/Boom/src/Models/GaussianModel.cpp                                                                         |   86 
 Boom-0.3/Boom/src/Models/GaussianModelBase.cpp                                                                     |   28 
 Boom-0.3/Boom/src/Models/GaussianModelGivenSigma.cpp                                                               |    4 
 Boom-0.3/Boom/src/Models/Glm/AggregatedRegressionModel.cpp                                                         |   16 
 Boom-0.3/Boom/src/Models/Glm/BinomialLogitModel.cpp                                                                |   68 
 Boom-0.3/Boom/src/Models/Glm/BinomialRegressionData.cpp                                                            |   31 
 Boom-0.3/Boom/src/Models/Glm/ChoiceData.cpp                                                                        |   16 
 Boom-0.3/Boom/src/Models/Glm/CumulativeLogitModel.cpp                                                              |    4 
 Boom-0.3/Boom/src/Models/Glm/CumulativeProbitModel.cpp                                                             |    4 
 Boom-0.3/Boom/src/Models/Glm/Glm.cpp                                                                               |   44 
 Boom-0.3/Boom/src/Models/Glm/GlmCoefs.cpp                                                                          |   27 
 Boom-0.3/Boom/src/Models/Glm/LogisticRegressionModel.cpp                                                           |  109 
 Boom-0.3/Boom/src/Models/Glm/MultinomialLogitModel.cpp                                                             |  302 --
 Boom-0.3/Boom/src/Models/Glm/MultinomialProbitModel.cpp                                                            |   58 
 Boom-0.3/Boom/src/Models/Glm/MvReg2.cpp                                                                            |  136 -
 Boom-0.3/Boom/src/Models/Glm/MvnGivenX.cpp                                                                         |   28 
 Boom-0.3/Boom/src/Models/Glm/MvnGivenXandSigma.cpp                                                                 |   16 
 Boom-0.3/Boom/src/Models/Glm/MvtRegModel.cpp                                                                       |   44 
 Boom-0.3/Boom/src/Models/Glm/OrdinalCutpointModel.cpp                                                              |  313 +-
 Boom-0.3/Boom/src/Models/Glm/PoissonRegressionData.cpp                                                             |   41 
 Boom-0.3/Boom/src/Models/Glm/PoissonRegressionModel.cpp                                                            |   14 
 Boom-0.3/Boom/src/Models/Glm/PosteriorSamplers/AggregatedRegressionSampler.cpp                                     |    6 
 Boom-0.3/Boom/src/Models/Glm/PosteriorSamplers/BinomialLogitAuxmixSampler.cpp                                      |   33 
 Boom-0.3/Boom/src/Models/Glm/PosteriorSamplers/BinomialLogitCompositeSpikeSlabSampler.cpp                          |  187 -
 Boom-0.3/Boom/src/Models/Glm/PosteriorSamplers/BinomialLogitDataImputer.cpp                                        |   22 
 Boom-0.3/Boom/src/Models/Glm/PosteriorSamplers/BinomialLogitSamplerRwm.cpp                                         |   14 
 Boom-0.3/Boom/src/Models/Glm/PosteriorSamplers/BinomialLogitSamplerTim.cpp                                         |   26 
 Boom-0.3/Boom/src/Models/Glm/PosteriorSamplers/BinomialLogitSpikeSlabSampler.cpp                                   |  111 
 Boom-0.3/Boom/src/Models/Glm/PosteriorSamplers/BregVsSampler.cpp                                                   |   75 
 Boom-0.3/Boom/src/Models/Glm/PosteriorSamplers/CumulativeLogitSampler.cpp                                          |   13 
 Boom-0.3/Boom/src/Models/Glm/PosteriorSamplers/CumulativeProbitSampler.cpp                                         |   14 
 Boom-0.3/Boom/src/Models/Glm/PosteriorSamplers/DAFE_MLM.cpp                                                        |  134 -
 Boom-0.3/Boom/src/Models/Glm/PosteriorSamplers/HierarchicalPoissonRegressionSampler.cpp                            |   12 
 Boom-0.3/Boom/src/Models/Glm/PosteriorSamplers/LogitSampler.cpp                                                    |   22 
 Boom-0.3/Boom/src/Models/Glm/PosteriorSamplers/LogitSamplerBma.cpp                                                 |   33 
 Boom-0.3/Boom/src/Models/Glm/PosteriorSamplers/MLAuxMixSampler.cpp                                                 |    8 
 Boom-0.3/Boom/src/Models/Glm/PosteriorSamplers/MLVS.cpp                                                            |   28 
 Boom-0.3/Boom/src/Models/Glm/PosteriorSamplers/MLVS_data_imputer.cpp                                               |    6 
 Boom-0.3/Boom/src/Models/Glm/PosteriorSamplers/MlogitRwm.cpp                                                       |   15 
 Boom-0.3/Boom/src/Models/Glm/PosteriorSamplers/MnpBetaGivenSigmaSampler.cpp                                        |   32 
 Boom-0.3/Boom/src/Models/Glm/PosteriorSamplers/MnpBetaSampler.cpp                                                  |   15 
 Boom-0.3/Boom/src/Models/Glm/PosteriorSamplers/MultinomialLogitCompleteDataSuf.cpp                                 |    8 
 Boom-0.3/Boom/src/Models/Glm/PosteriorSamplers/MultinomialLogitCompositeSpikeSlabSampler.cpp                       |    6 
 Boom-0.3/Boom/src/Models/Glm/PosteriorSamplers/MvRegSampler.cpp                                                    |   21 
 Boom-0.3/Boom/src/Models/Glm/PosteriorSamplers/MvtRegSampler.cpp                                                   |   17 
 Boom-0.3/Boom/src/Models/Glm/PosteriorSamplers/PartRegSampler.cpp                                                  |   50 
 Boom-0.3/Boom/src/Models/Glm/PosteriorSamplers/PoissonRegressionAuxMixSampler.cpp                                  |   61 
 Boom-0.3/Boom/src/Models/Glm/PosteriorSamplers/PoissonRegressionRwmSampler.cpp                                     |   11 
 Boom-0.3/Boom/src/Models/Glm/PosteriorSamplers/PoissonRegressionSpikeSlabSampler.cpp                               |   24 
 Boom-0.3/Boom/src/Models/Glm/PosteriorSamplers/ProbitRegressionSampler.cpp                                         |   18 
 Boom-0.3/Boom/src/Models/Glm/PosteriorSamplers/ProbitSpikeSlabSampler.cpp                                          |   33 
 Boom-0.3/Boom/src/Models/Glm/PosteriorSamplers/RegressionConjSampler.cpp                                           |   16 
 Boom-0.3/Boom/src/Models/Glm/PosteriorSamplers/SpikeSlabDaRegressionSampler.cpp                                    |   10 
 Boom-0.3/Boom/src/Models/Glm/PosteriorSamplers/SpikeSlabSampler.cpp                                                |   32 
 Boom-0.3/Boom/src/Models/Glm/PosteriorSamplers/TDataImputer.cpp                                                    |only
 Boom-0.3/Boom/src/Models/Glm/PosteriorSamplers/TRegressionSampler.cpp                                              |only
 Boom-0.3/Boom/src/Models/Glm/PosteriorSamplers/TRegressionSpikeSlabSampler.cpp                                     |only
 Boom-0.3/Boom/src/Models/Glm/PosteriorSamplers/VsPriorSampler.cpp                                                  |   46 
 Boom-0.3/Boom/src/Models/Glm/PosteriorSamplers/ZeroInflatedLognormalRegressionPosteriorSampler.cpp                 |only
 Boom-0.3/Boom/src/Models/Glm/PosteriorSamplers/ZeroInflatedPoissonRegressionSampler.cpp                            |only
 Boom-0.3/Boom/src/Models/Glm/PosteriorSamplers/draw_logit_lambda.cpp                                               |    5 
 Boom-0.3/Boom/src/Models/Glm/ProbitRegression.cpp                                                                  |   38 
 Boom-0.3/Boom/src/Models/Glm/RegressionModel.cpp                                                                   |   72 
 Boom-0.3/Boom/src/Models/Glm/TRegression.cpp                                                                       |  284 --
 Boom-0.3/Boom/src/Models/Glm/VariableSelectionPrior.cpp                                                            |   50 
 Boom-0.3/Boom/src/Models/Glm/WeightedRegressionModel.cpp                                                           |  247 -
 Boom-0.3/Boom/src/Models/Glm/ZeroInflatedLognormalRegression.cpp                                                   |only
 Boom-0.3/Boom/src/Models/Glm/ZeroInflatedPoissonRegression.cpp                                                     |only
 Boom-0.3/Boom/src/Models/HMM/Clickstream/NestedHmm.cpp                                                             |   58 
 Boom-0.3/Boom/src/Models/HMM/Clickstream/PosteriorSamplers/NestedHmmPosteriorSampler.cpp                           |    6 
 Boom-0.3/Boom/src/Models/HMM/HMM2.cpp                                                                              |   22 
 Boom-0.3/Boom/src/Models/HMM/HealthStateModel.cpp                                                                  |    6 
 Boom-0.3/Boom/src/Models/HMM/HmmDataImputer.cpp                                                                    |    2 
 Boom-0.3/Boom/src/Models/HMM/HmmFilter.cpp                                                                         |   27 
 Boom-0.3/Boom/src/Models/HMM/PosteriorSamplers/HmmPosteriorSampler.cpp                                             |    9 
 Boom-0.3/Boom/src/Models/HMM/hmm_tools.cpp                                                                         |    6 
 Boom-0.3/Boom/src/Models/Hierarchical/HierarchicalDirichletModel.cpp                                               |only
 Boom-0.3/Boom/src/Models/Hierarchical/HierarchicalPoissonModel.cpp                                                 |   93 
 Boom-0.3/Boom/src/Models/Hierarchical/HierarchicalZeroInflatedGammaModel.cpp                                       |   12 
 Boom-0.3/Boom/src/Models/Hierarchical/HierarchicalZeroInflatedPoissonModel.cpp                                     |    6 
 Boom-0.3/Boom/src/Models/Hierarchical/PosteriorSamplers/HierarchicalDirichletPosteriorSampler.cpp                  |only
 Boom-0.3/Boom/src/Models/Hierarchical/PosteriorSamplers/HierarchicalGammaSampler.cpp                               |    6 
 Boom-0.3/Boom/src/Models/Hierarchical/PosteriorSamplers/HierarchicalPoissonSampler.cpp                             |   10 
 Boom-0.3/Boom/src/Models/Hierarchical/PosteriorSamplers/HierarchicalZeroInflatedGammaSampler.cpp                   |   18 
 Boom-0.3/Boom/src/Models/Hierarchical/PosteriorSamplers/HierarchicalZeroInflatedPoissonSampler.cpp                 |   28 
 Boom-0.3/Boom/src/Models/IRT/DafePcrDataImputer.cpp                                                                |   52 
 Boom-0.3/Boom/src/Models/IRT/DafePcrItemSampler.cpp                                                                |   53 
 Boom-0.3/Boom/src/Models/IRT/DafePcrRwmItemSampler.cpp                                                             |   32 
 Boom-0.3/Boom/src/Models/IRT/DafePcrRwmSubject.cpp                                                                 |   36 
 Boom-0.3/Boom/src/Models/IRT/DafePcrSubject.cpp                                                                    |   69 
 Boom-0.3/Boom/src/Models/IRT/IrtModel.cpp                                                                          |   36 
 Boom-0.3/Boom/src/Models/IRT/Item.cpp                                                                              |   20 
 Boom-0.3/Boom/src/Models/IRT/PartialCreditModel.cpp                                                                |  155 -
 Boom-0.3/Boom/src/Models/IRT/Subject.cpp                                                                           |   17 
 Boom-0.3/Boom/src/Models/IRT/SubjectPrior.cpp                                                                      |    4 
 Boom-0.3/Boom/src/Models/IRT/SubjectSliceSampler.cpp                                                               |   20 
 Boom-0.3/Boom/src/Models/IndependentMvnModel.cpp                                                                   |   56 
 Boom-0.3/Boom/src/Models/LognormalModel.cpp                                                                        |only
 Boom-0.3/Boom/src/Models/MarginallyUniformCorrelationModel.cpp                                                     |    6 
 Boom-0.3/Boom/src/Models/MarkovModel.cpp                                                                           |   97 
 Boom-0.3/Boom/src/Models/Mixtures/DirichletProcessMvnModel.cpp                                                     |only
 Boom-0.3/Boom/src/Models/Mixtures/PosteriorSamplers/ConditionalFiniteMixtureSampler.cpp                            |    5 
 Boom-0.3/Boom/src/Models/Mixtures/PosteriorSamplers/DirichletProcessMvnCollapsedGibbsSampler.cpp                   |only
 Boom-0.3/Boom/src/Models/ModelTypes.cpp                                                                            |   58 
 Boom-0.3/Boom/src/Models/MultinomialModel.cpp                                                                      |  126 
 Boom-0.3/Boom/src/Models/MvnBase.cpp                                                                               |  144 -
 Boom-0.3/Boom/src/Models/MvnGivenScalarSigma.cpp                                                                   |   24 
 Boom-0.3/Boom/src/Models/MvnGivenSigma.cpp                                                                         |   26 
 Boom-0.3/Boom/src/Models/MvnModel.cpp                                                                              |   26 
 Boom-0.3/Boom/src/Models/MvtModel.cpp                                                                              |   53 
 Boom-0.3/Boom/src/Models/ParamTypes.cpp                                                                            |  109 
 Boom-0.3/Boom/src/Models/PointProcess/BoundedPoissonProcessSimulator.cpp                                           |    2 
 Boom-0.3/Boom/src/Models/PointProcess/HomogeneousPoissonProcess.cpp                                                |   14 
 Boom-0.3/Boom/src/Models/PointProcess/PoissonClusterProcess.cpp                                                    |   22 
 Boom-0.3/Boom/src/Models/PointProcess/PosteriorSamplers/HomogeneousPoissonProcessPosteriorSampler.cpp              |    9 
 Boom-0.3/Boom/src/Models/PointProcess/PosteriorSamplers/MarkovModulatedPoissonProcessPosteriorSampler.cpp          |    6 
 Boom-0.3/Boom/src/Models/PointProcess/PosteriorSamplers/WeeklyCyclePoissonProcessSampler.cpp                       |   34 
 Boom-0.3/Boom/src/Models/PointProcess/WeeklyCyclePoissonProcess.cpp                                                |   76 
 Boom-0.3/Boom/src/Models/PoissonGammaModel.cpp                                                                     |    4 
 Boom-0.3/Boom/src/Models/PoissonModel.cpp                                                                          |   40 
 Boom-0.3/Boom/src/Models/Policies/CompositeParamPolicy.cpp                                                         |   13 
 Boom-0.3/Boom/src/Models/Policies/ManyParamPolicy.cpp                                                              |    4 
 Boom-0.3/Boom/src/Models/Policies/NullParamPolicy.cpp                                                              |    4 
 Boom-0.3/Boom/src/Models/PosteriorSamplers/AbsorbingMarkovConjSampler.cpp                                          |  199 -
 Boom-0.3/Boom/src/Models/PosteriorSamplers/BetaBinomialPosteriorSampler.cpp                                        |  325 ++
 Boom-0.3/Boom/src/Models/PosteriorSamplers/BetaBinomialSampler.cpp                                                 |    7 
 Boom-0.3/Boom/src/Models/PosteriorSamplers/BetaPosteriorSampler.cpp                                                |   11 
 Boom-0.3/Boom/src/Models/PosteriorSamplers/CompositeModelSampler.cpp                                               |    5 
 Boom-0.3/Boom/src/Models/PosteriorSamplers/CompositeSampler.cpp                                                    |   18 
 Boom-0.3/Boom/src/Models/PosteriorSamplers/CorrelationSampler.cpp                                                  |   14 
 Boom-0.3/Boom/src/Models/PosteriorSamplers/DirichletPosteriorSampler.cpp                                           |  669 ++++-
 Boom-0.3/Boom/src/Models/PosteriorSamplers/ExchangeableDirichletSampler.cpp                                        |   20 
 Boom-0.3/Boom/src/Models/PosteriorSamplers/ExponentialGammaSampler.cpp                                             |    9 
 Boom-0.3/Boom/src/Models/PosteriorSamplers/FixedProbBinomialSampler.cpp                                            |    6 
 Boom-0.3/Boom/src/Models/PosteriorSamplers/GammaPosteriorSampler.cpp                                               |   20 
 Boom-0.3/Boom/src/Models/PosteriorSamplers/GaussianConjSampler.cpp                                                 |   10 
 Boom-0.3/Boom/src/Models/PosteriorSamplers/GaussianMeanSampler.cpp                                                 |   12 
 Boom-0.3/Boom/src/Models/PosteriorSamplers/GaussianVarSampler.cpp                                                  |   45 
 Boom-0.3/Boom/src/Models/PosteriorSamplers/GenericGaussianVarianceSampler.cpp                                      |   11 
 Boom-0.3/Boom/src/Models/PosteriorSamplers/IndependentMvnConjSampler.cpp                                           |   32 
 Boom-0.3/Boom/src/Models/PosteriorSamplers/IndependentMvnVarSampler.cpp                                            |only
 Boom-0.3/Boom/src/Models/PosteriorSamplers/MarkovConjSampler.cpp                                                   |   71 
 Boom-0.3/Boom/src/Models/PosteriorSamplers/MarkovConjShrinkageSampler.cpp                                          |   42 
 Boom-0.3/Boom/src/Models/PosteriorSamplers/MultinomialDirichletSampler.cpp                                         |   23 
 Boom-0.3/Boom/src/Models/PosteriorSamplers/MvnConjSampler.cpp                                                      |   31 
 Boom-0.3/Boom/src/Models/PosteriorSamplers/MvnIndependentVarianceSampler.cpp                                       |   10 
 Boom-0.3/Boom/src/Models/PosteriorSamplers/MvnMeanSampler.cpp                                                      |   52 
 Boom-0.3/Boom/src/Models/PosteriorSamplers/MvnVarSampler.cpp                                                       |   38 
 Boom-0.3/Boom/src/Models/PosteriorSamplers/PoissonGammaPosteriorSampler.cpp                                        |    6 
 Boom-0.3/Boom/src/Models/PosteriorSamplers/PoissonGammaSampler.cpp                                                 |   12 
 Boom-0.3/Boom/src/Models/PosteriorSamplers/PosteriorSampler.cpp                                                    |   24 
 Boom-0.3/Boom/src/Models/PosteriorSamplers/ProductDirichletPosteriorSampler.cpp                                    |   23 
 Boom-0.3/Boom/src/Models/PosteriorSamplers/SepStratSampler.cpp                                                     |   30 
 Boom-0.3/Boom/src/Models/PosteriorSamplers/SharedSigsqSampler.cpp                                                  |    6 
 Boom-0.3/Boom/src/Models/PosteriorSamplers/ZeroInflatedGammaPosteriorSampler.cpp                                   |   12 
 Boom-0.3/Boom/src/Models/PosteriorSamplers/ZeroInflatedPoissonSampler.cpp                                          |   30 
 Boom-0.3/Boom/src/Models/PosteriorSamplers/ZeroMeanGaussianConjSampler.cpp                                         |   17 
 Boom-0.3/Boom/src/Models/PosteriorSamplers/ZeroMeanMvnConjSampler.cpp                                              |   18 
 Boom-0.3/Boom/src/Models/PosteriorSamplers/ZeroMeanMvnIndependenceSampler.cpp                                      |   28 
 Boom-0.3/Boom/src/Models/ProductDirichletModel.cpp                                                                 |   40 
 Boom-0.3/Boom/src/Models/ScaledChisqModel.cpp                                                                      |   22 
 Boom-0.3/Boom/src/Models/SpdData.cpp                                                                               |   48 
 Boom-0.3/Boom/src/Models/SpdParams.cpp                                                                             |   16 
 Boom-0.3/Boom/src/Models/StateSpace/AggregatedStateSpaceRegression.cpp                                             |   71 
 Boom-0.3/Boom/src/Models/StateSpace/Filters/KalmanTools.cpp                                                        |   40 
 Boom-0.3/Boom/src/Models/StateSpace/Filters/SparseKalmanTools.cpp                                                  |   65 
 Boom-0.3/Boom/src/Models/StateSpace/Filters/SparseMatrix.cpp                                                       |  284 +-
 Boom-0.3/Boom/src/Models/StateSpace/Filters/SparseVector.cpp                                                       |   86 
 Boom-0.3/Boom/src/Models/StateSpace/PosteriorSamplers/AggregatedStateSpacePosteriorSampler.cpp                     |    6 
 Boom-0.3/Boom/src/Models/StateSpace/PosteriorSamplers/DynamicRegressionPosteriorSampler.cpp                        |    6 
 Boom-0.3/Boom/src/Models/StateSpace/PosteriorSamplers/StateSpaceLogitPosteriorSampler.cpp                          |only
 Boom-0.3/Boom/src/Models/StateSpace/PosteriorSamplers/StateSpacePoissonPosteriorSampler.cpp                        |only
 Boom-0.3/Boom/src/Models/StateSpace/PosteriorSamplers/StateSpacePosteriorSampler.cpp                               |    9 
 Boom-0.3/Boom/src/Models/StateSpace/PosteriorSamplers/StateSpaceStudentPosteriorSampler.cpp                        |only
 Boom-0.3/Boom/src/Models/StateSpace/PosteriorSamplers/StudentLocalLinearTrendPosteriorSampler.cpp                  |    6 
 Boom-0.3/Boom/src/Models/StateSpace/StateModels/ArStateModel.cpp                                                   |   12 
 Boom-0.3/Boom/src/Models/StateSpace/StateModels/DynamicRegressionStateModel.cpp                                    |   18 
 Boom-0.3/Boom/src/Models/StateSpace/StateModels/Holiday.cpp                                                        |    6 
 Boom-0.3/Boom/src/Models/StateSpace/StateModels/LocalLevelStateModel.cpp                                           |    8 
 Boom-0.3/Boom/src/Models/StateSpace/StateModels/LocalLinearTrend.cpp                                               |   14 
 Boom-0.3/Boom/src/Models/StateSpace/StateModels/LocalLinearTrendMeanRevertingSlope.cpp                             |   10 
 Boom-0.3/Boom/src/Models/StateSpace/StateModels/RandomWalkHolidayStateModel.cpp                                    |    8 
 Boom-0.3/Boom/src/Models/StateSpace/StateModels/RegressionStateModel.cpp                                           |    8 
 Boom-0.3/Boom/src/Models/StateSpace/StateModels/SeasonalStateModel.cpp                                             |   24 
 Boom-0.3/Boom/src/Models/StateSpace/StateModels/StudentLocalLinearTrend.cpp                                        |   12 
 Boom-0.3/Boom/src/Models/StateSpace/StateModels/TrigStateModel.cpp                                                 |only
 Boom-0.3/Boom/src/Models/StateSpace/StateSpaceLogitModel.cpp                                                       |only
 Boom-0.3/Boom/src/Models/StateSpace/StateSpaceModel.cpp                                                            |   30 
 Boom-0.3/Boom/src/Models/StateSpace/StateSpaceModelBase.cpp                                                        |  390 +--
 Boom-0.3/Boom/src/Models/StateSpace/StateSpaceNormalMixture.cpp                                                    |only
 Boom-0.3/Boom/src/Models/StateSpace/StateSpacePoissonModel.cpp                                                     |only
 Boom-0.3/Boom/src/Models/StateSpace/StateSpaceRegressionModel.cpp                                                  |  129 -
 Boom-0.3/Boom/src/Models/StateSpace/StateSpaceStudentRegressionModel.cpp                                           |only
 Boom-0.3/Boom/src/Models/Sufstat.cpp                                                                               |   10 
 Boom-0.3/Boom/src/Models/TimeSeries/ArModel.cpp                                                                    |   34 
 Boom-0.3/Boom/src/Models/TimeSeries/NonzeroMeanAr1Model.cpp                                                        |   18 
 Boom-0.3/Boom/src/Models/TimeSeries/PosteriorSamplers/ArPosteriorSampler.cpp                                       |   25 
 Boom-0.3/Boom/src/Models/TimeSeries/PosteriorSamplers/NonzeroMeanAr1Sampler.cpp                                    |    6 
 Boom-0.3/Boom/src/Models/UniformCorrelationModel.cpp                                                               |    6 
 Boom-0.3/Boom/src/Models/UniformModel.cpp                                                                          |   10 
 Boom-0.3/Boom/src/Models/WeightedGaussianSuf.cpp                                                                   |   14 
 Boom-0.3/Boom/src/Models/WeightedMvnModel.cpp                                                                      |   46 
 Boom-0.3/Boom/src/Models/WishartModel.cpp                                                                          |   64 
 Boom-0.3/Boom/src/Models/ZeroInflatedLognormalModel.cpp                                                            |   23 
 Boom-0.3/Boom/src/Models/ZeroInflatedPoissonModel.cpp                                                              |   12 
 Boom-0.3/Boom/src/Models/ZeroMeanGaussianModel.cpp                                                                 |   18 
 Boom-0.3/Boom/src/Models/ZeroMeanMvnModel.cpp                                                                      |   16 
 Boom-0.3/Boom/src/Samplers/ARMS.cpp                                                                                |   15 
 Boom-0.3/Boom/src/Samplers/DirectProposal.cpp                                                                      |only
 Boom-0.3/Boom/src/Samplers/ImportanceResampler.cpp                                                                 |only
 Boom-0.3/Boom/src/Samplers/MH_Proposals.cpp                                                                        |   38 
 Boom-0.3/Boom/src/Samplers/MetropolisHastings.cpp                                                                  |   83 
 Boom-0.3/Boom/src/Samplers/RejectionSampler.cpp                                                                    |only
 Boom-0.3/Boom/src/Samplers/Sampler.cpp                                                                             |   10 
 Boom-0.3/Boom/src/Samplers/ScalarAdaptiveRejectionSampler.cpp                                                      |only
 Boom-0.3/Boom/src/Samplers/ScalarLangevinSampler.cpp                                                               |only
 Boom-0.3/Boom/src/Samplers/ScalarSliceSampler.cpp                                                                  |  125 
 Boom-0.3/Boom/src/Samplers/SliceSampler.cpp                                                                        |    9 
 Boom-0.3/Boom/src/Samplers/TIM.cpp                                                                                 |   26 
 Boom-0.3/Boom/src/Samplers/UnivariateLangevinSampler.cpp                                                           |only
 Boom-0.3/Boom/src/Samplers/UnivariateSliceSampler.cpp                                                              |  115 
 Boom-0.3/Boom/src/TargetFun/JacobianChecker.cpp                                                                    |only
 Boom-0.3/Boom/src/TargetFun/LogPost.cpp                                                                            |   12 
 Boom-0.3/Boom/src/TargetFun/ScalarLogpostTF.cpp                                                                    |    4 
 Boom-0.3/Boom/src/TargetFun/TargetFun.cpp                                                                          |   83 
 Boom-0.3/Boom/src/TargetFun/Transformation.cpp                                                                     |only
 Boom-0.3/Boom/src/boom_r_tools.cpp                                                                                 |   43 
 Boom-0.3/Boom/src/cpputil/Date.cpp                                                                                 |   39 
 Boom-0.3/Boom/src/cpputil/ParamHolder.cpp                                                                          |   12 
 Boom-0.3/Boom/src/cpputil/lse.cpp                                                                                  |   17 
 Boom-0.3/Boom/src/cpputil/parse_range.cpp                                                                          |    4 
 Boom-0.3/Boom/src/cpputil/print_columns.cpp                                                                        |   68 
 Boom-0.3/Boom/src/cpputil/rep.cpp                                                                                  |   10 
 Boom-0.3/Boom/src/cpputil/split.cpp                                                                                |    5 
 Boom-0.3/Boom/src/create_mixture_component.cpp                                                                     |   88 
 Boom-0.3/Boom/src/create_state_model.cpp                                                                           |   70 
 Boom-0.3/Boom/src/distributions/BoundedAdaptiveRejectionSampler.cpp                                                |    3 
 Boom-0.3/Boom/src/distributions/DoublyBoundedAdaptiveRejectionSampler.cpp                                          |    5 
 Boom-0.3/Boom/src/distributions/Markov.cpp                                                                         |   34 
 Boom-0.3/Boom/src/distributions/Rmath_dist.cpp                                                                     |   47 
 Boom-0.3/Boom/src/distributions/Wishart.cpp                                                                        |   39 
 Boom-0.3/Boom/src/distributions/dirichlet.cpp                                                                      |   36 
 Boom-0.3/Boom/src/distributions/inverse_gaussian.cpp                                                               |   23 
 Boom-0.3/Boom/src/distributions/matrix_normal.cpp                                                                  |   32 
 Boom-0.3/Boom/src/distributions/mvn.cpp                                                                            |   52 
 Boom-0.3/Boom/src/distributions/mvt.cpp                                                                            |   14 
 Boom-0.3/Boom/src/distributions/random_cor.cpp                                                                     |    2 
 Boom-0.3/Boom/src/distributions/rmulti.cpp                                                                         |    4 
 Boom-0.3/Boom/src/distributions/rtriangle.cpp                                                                      |   15 
 Boom-0.3/Boom/src/distributions/trun_exp.cpp                                                                       |   55 
 Boom-0.3/Boom/src/distributions/usp.cpp                                                                            |   49 
 Boom-0.3/Boom/src/error.cpp                                                                                        |    2 
 Boom-0.3/Boom/src/extract_mixture_data.cpp                                                                         |   18 
 Boom-0.3/Boom/src/list_io.cpp                                                                                      |   22 
 Boom-0.3/Boom/src/numopt/Negate.cpp                                                                                |    6 
 Boom-0.3/Boom/src/numopt/NumericalDerivatives.cpp                                                                  |only
 Boom-0.3/Boom/src/numopt/ScalarLaplaceApproximation.cpp                                                            |   26 
 Boom-0.3/Boom/src/numopt/ScalarNewtonMax.cpp                                                                       |    9 
 Boom-0.3/Boom/src/numopt/bfgs.cpp                                                                                  |   23 
 Boom-0.3/Boom/src/numopt/conj_grad.cpp                                                                             |   15 
 Boom-0.3/Boom/src/numopt/max_nd.cpp                                                                                |   78 
 Boom-0.3/Boom/src/numopt/nelder_mead.cpp                                                                           |   18 
 Boom-0.3/Boom/src/numopt/newton.cpp                                                                                |  188 -
 Boom-0.3/Boom/src/numopt/simulated_annealing.cpp                                                                   |    8 
 Boom-0.3/Boom/src/prior_specification.cpp                                                                          |  116 
 Boom-0.3/Boom/src/spike_slab_prior.cpp                                                                             |   34 
 Boom-0.3/Boom/src/stats/Bspline.cpp                                                                                |only
 Boom-0.3/Boom/src/stats/ChiSquareTest.cpp                                                                          |   10 
 Boom-0.3/Boom/src/stats/DataTable.cpp                                                                              |  479 ++-
 Boom-0.3/Boom/src/stats/Design.cpp                                                                                 |  498 +++
 Boom-0.3/Boom/src/stats/FreqDist.cpp                                                                               |  129 -
 Boom-0.3/Boom/src/stats/IQagent.cpp                                                                                |    4 
 Boom-0.3/Boom/src/stats/NaturalSpline.cpp                                                                          |   53 
 Boom-0.3/Boom/src/stats/Resampler.cpp                                                                              |   46 
 Boom-0.3/Boom/src/stats/Spline.cpp                                                                                 |   12 
 Boom-0.3/Boom/src/stats/diff.cpp                                                                                   |   10 
 Boom-0.3/Boom/src/stats/moments.cpp                                                                                |   30 
 Boom-0.3/Boom/src/stats/regression.cpp                                                                             |    7 
 674 files changed, 16222 insertions(+), 12051 deletions(-)

More information about Boom at CRAN
Permanent link

Package rsdmx updated to version 0.5-2 with previous version 0.5-1 dated 2016-02-02

Title: Tools for Reading SDMX Data and Metadata
Description: Set of classes and methods to read data and metadata documents exchanged through the Statistical Data and Metadata Exchange (SDMX) framework, currently focusing on the SDMX XML standard format (SDMX-ML).
Author: Emmanuel Blondel [aut, cre], Matthieu Stigler [ctb]
Maintainer: Emmanuel Blondel <emmanuel.blondel1@gmail.com>

Diff between rsdmx versions 0.5-1 dated 2016-02-02 and 0.5-2 dated 2016-03-15

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 rsdmx-0.5-2/rsdmx/R/Class-SDMX.R                                |    3 
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 rsdmx-0.5-2/rsdmx/R/Class-SDMXCode.R                            |    8 
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 rsdmx-0.5-2/rsdmx/R/Class-SDMXCompactData.R                     |    2 
 rsdmx-0.5-2/rsdmx/R/Class-SDMXConcept.R                         |   12 
 rsdmx-0.5-2/rsdmx/R/Class-SDMXConceptScheme.R                   |    8 
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 rsdmx-0.5-2/rsdmx/R/SDMX-methods.R                              |  110 ++-
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 rsdmx-0.5-2/rsdmx/R/profile.R                                   |    6 
 rsdmx-0.5-2/rsdmx/R/readSDMX.R                                  |  171 ++++-
 rsdmx-0.5-2/rsdmx/R/rsdmx.R                                     |    4 
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 rsdmx-0.5-2/rsdmx/tests/testthat/test_Main_Helpers.R            |  230 ++++++-
 rsdmx-0.5-2/rsdmx/tests/testthat/test_MessageGroup.R            |    8 
 rsdmx-0.5-2/rsdmx/tests/testthat/test_Namespaces.R              |    4 
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 140 files changed, 2154 insertions(+), 925 deletions(-)

More information about rsdmx at CRAN
Permanent link

Package ghit updated to version 0.2.5 with previous version 0.2.0 dated 2016-02-15

Title: Lightweight GitHub Package Installer
Description: A lightweight, vectorized drop-in replacement for 'devtools::install_github()' that uses native git and R methods to clone and install a package from GitHub.
Author: Thomas J. Leeper [aut, cre]
Maintainer: Thomas J. Leeper <thosjleeper@gmail.com>

Diff between ghit versions 0.2.0 dated 2016-02-15 and 0.2.5 dated 2016-03-15

 DESCRIPTION                    |   10 ++++---
 MD5                            |   20 +++++++-------
 NEWS                           |   13 +++++++++
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 R/checkout_pkg.R               |   32 ++++++++++++++---------
 R/install.R                    |   56 +++++++++++++++++++++++++++--------------
 README.md                      |    3 ++
 man/ghit.Rd                    |    2 -
 man/install.Rd                 |    4 +-
 tests/testthat/test_install.R  |   34 +++++++++++++-----------
 tests/testthat/test_internal.R |    3 --
 11 files changed, 113 insertions(+), 66 deletions(-)

More information about ghit at CRAN
Permanent link

Package dpcR updated to version 0.3 with previous version 0.2 dated 2015-12-11

Title: Digital PCR Analysis
Description: Analysis, visualisation and simulation of digital polymerase chain reaction (dPCR).
Author: Michal Burdukiewicz [cre, aut], Stefan Roediger [aut], Bart Jacobs [aut], Piotr Sobczyk [ctb]
Maintainer: Michal Burdukiewicz <michalburdukiewicz@gmail.com>

Diff between dpcR versions 0.2 dated 2015-12-11 and 0.3 dated 2016-03-15

 CHANGELOG                                                  |  111 
 DESCRIPTION                                                |   42 
 MD5                                                        |  335 
 NAMESPACE                                                  |  207 
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 R/calc_lambda.R                                            |   40 
 R/classes.R                                                |  546 
 R/compare_dens.R                                           |  118 
 R/count_test-class.R                                       |  292 
 R/create_dpcr.R                                            |  146 
 R/dPCRmethyl.R                                             |   32 
 R/dpcR-package.R                                           |  140 
 R/dpcReport_gui.R                                          |   22 
 R/dpcr_calculator.R                                        |   32 
 R/dpcr_density.R                                           |  200 
 R/dpcr_density_gui.R                                       |   24 
 R/dpcr_density_table.R                                     |   86 
 R/extract_dpcr.R                                           |  150 
 R/fit_adpcr.R                                              |   62 
 R/fl.R                                                     |    2 
 R/get_k_n.R                                                |   24 
 R/limit_cq.R                                               |  344 
 R/many_peaks.R                                             |   38 
 R/moments.R                                                |  194 
 R/num2int.R                                                |   40 
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 R/pds_raw.R                                                |  250 
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 R/plot_panel.R                                             |  290 
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 R/plot_vic_fam.R                                           |  260 
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 R/qdpcr.R                                                  |  190 
 R/qpcr2pp.R                                                |  238 
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 R/read_dpcr.R                                              |  426 
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 R/rtadpcr.R                                                |   62 
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 R/test_peaks.R                                             |  210 
 R/test_ratio.R                                             |  306 
 R/valid_amp.R                                              |   10 
 R/y_val_conf.R                                             |   26 
 README.md                                                  |   60 
 build/vignette.rds                                         |binary
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 inst/dpcReport/about.Rmd                                   |  106 
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More information about dpcR at CRAN
Permanent link

Package VGAM updated to version 1.0-1 with previous version 1.0-0 dated 2015-10-29

Title: Vector Generalized Linear and Additive Models
Description: An implementation of about 6 major classes of statistical regression models. At the heart of it are the vector generalized linear and additive model (VGLM/VGAM) classes, and the book "Vector Generalized Linear and Additive Models: With an Implementation in R" (Yee, 2015) gives details of the statistical framework and VGAM package. Currently only fixed-effects models are implemented, i.e., no random-effects models. Many (150+) models and distributions are estimated by maximum likelihood estimation (MLE) or penalized MLE, using Fisher scoring. VGLMs can be loosely thought of as multivariate GLMs. VGAMs are data-driven VGLMs (i.e., with smoothing). The other classes are RR-VGLMs (reduced-rank VGLMs), quadratic RR-VGLMs, reduced-rank VGAMs, RCIMs (row-column interaction models)---these classes perform constrained and unconstrained quadratic ordination (CQO/UQO) models in ecology, as well as constrained additive ordination (CAO). Note that these functions are subject to change; see the NEWS and ChangeLog files for latest changes.
Author: Thomas W. Yee <t.yee@auckland.ac.nz>
Maintainer: Thomas Yee <t.yee@auckland.ac.nz>

Diff between VGAM versions 1.0-0 dated 2015-10-29 and 1.0-1 dated 2016-03-15

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More information about VGAM at CRAN
Permanent link

Package tutorial updated to version 0.2.2 with previous version 0.2.1 dated 2016-03-14

Title: Convert R Markdown Files to DataCamp Light HTML Files
Description: DataCamp Light (<https://github.com/datacamp/datacamp-light>) is a light-weight implementation of the DataCamp UI, that allows you to embed interactive exercises inside HTML documents. The 'tutorial' package makes it easy to create these HTML files from R Markdown files. A wrapper around the 'rmarkdown' package, 'tutorial' pre-detects code chunks with the 'ex' and 'type' properties, and replaces the chunks with DataCamp Light readable chunks in the resulting HTML file.
Author: Filip Schouwenaars
Maintainer: Filip Schouwenaars <filip@datacamp.com>

Diff between tutorial versions 0.2.1 dated 2016-03-14 and 0.2.2 dated 2016-03-15

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More information about tutorial at CRAN
Permanent link

Package agrmt updated to version 1.40.1 with previous version 1.39.3 dated 2015-12-07

Title: Calculate Agreement or Consensus in Ordered Rating Scales
Description: Calculate agreement or consensus in ordered rating scales. The package implements van der Eijk's (2001) measure of agreement A, which can be used to describe agreement, consensus, or polarization among respondents. It also implements measures of consensus (dispersion) by Leik, Tatsle and Wierman, Blair and Lacy, Kvalseth, Berry and Mielke, and Garcia-Montalvo and Reynal-Querol. Furthermore, an implementation of Galtungs AJUS-system is provided to classify distributions, as well as a function to identify the position of multiple modes.
Author: Didier Ruedin
Maintainer: Didier Ruedin <didier.ruedin@wolfson.oxon.org>

Diff between agrmt versions 1.39.3 dated 2015-12-07 and 1.40.1 dated 2016-03-15

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More information about agrmt at CRAN
Permanent link

Package spsann updated to version 2.0-0 with previous version 1.0-2 dated 2015-10-25

Title: Optimization of Sample Configurations using Spatial Simulated Annealing
Description: Methods to optimize spatial sample configurations using spatial simulated annealing. Multiple objective functions are implemented for various purposes, such as variogram estimation, spatial trend estimation, and spatial interpolation. A general purpose spatial simulated annealing function enables the user to define his/her own objective function.
Author: Alessandro Samuel-Rosa [aut, cre], Lucia Helena Cunha dos Anjos [ths], Gustavo de Mattos Vasques [ths], Gerard B M Heuvelink [ths], Edzer Pebesma [ctb], Jon Skoien [ctb], Joshua French [ctb], Pierre Roudier [ctb], Dick Brus [ctb], Murray Lark [ctb]
Maintainer: Alessandro Samuel-Rosa <alessandrosamuelrosa@gmail.com>

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Package sparseHessianFD updated to version 0.3.0 with previous version 0.2.0 dated 2015-02-04

Title: Numerical Estimation of Sparse Hessians
Description: Estimates Hessian of a scalar-valued function, and returns it in a sparse Matrix format. The sparsity pattern must be known in advance. The algorithm is especially efficient for hierarchical models with a large number of heterogeneous units.
Author: Michael Braun [aut, cre, cph]
Maintainer: Michael Braun <braunm@smu.edu>

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Package mwaved updated to version 1.1.2 with previous version 1.1.1 dated 2015-01-07

Title: Multichannel Wavelet Deconvolution with Additive Long Memory Noise
Description: Computes the Wavelet deconvolution estimate of a common signal present in multiple channels that have possible different levels of blur and long memory additive error.
Author: Justin Rory Wishart
Maintainer: Justin Rory Wishart <justin.wishart@mq.edu.au>

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Package h2o updated to version 3.8.1.3 with previous version 3.6.0.8 dated 2015-11-24

Title: R Interface for H2O
Description: R scripting functionality for H2O, the open source math engine for big data that computes parallel distributed machine learning algorithms such as generalized linear models, gradient boosting machines, random forests, and neural networks (deep learning) within various cluster environments.
Author: Spencer Aiello, Tom Kraljevic and Petr Maj, with contributions from the H2O.ai team
Maintainer: Tom Kraljevic <tomk@0xdata.com>

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Package ftsa updated to version 4.7 with previous version 4.6 dated 2015-12-23

Title: Functional Time Series Analysis
Description: Functions for visualizing, modeling, forecasting and hypothesis testing of functional time series.
Author: Rob J Hyndman and Han Lin Shang
Maintainer: Han Lin Shang <hanlin.shang@anu.edu.au>

Diff between ftsa versions 4.6 dated 2015-12-23 and 4.7 dated 2016-03-15

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Package DCchoice updated to version 0.0.14 with previous version 0.0.13-3 dated 2015-09-15

Title: Analyzing Dichotomous Choice Contingent Valuation Data
Description: Functions for analyzing dichotomous choice contingent valuation (CV) data. It provides functions for estimating parametric and nonparametric models for single- and double-bounded CV data.
Author: Tomoaki Nakatani [aut, cph] (original developer), Hideo Aizaki [aut, cre] (code patches), Kazuo Sato [ctb] (theoretical part of the manual)
Maintainer: Hideo Aizaki <azk-r@spa.nifty.com>

Diff between DCchoice versions 0.0.13-3 dated 2015-09-15 and 0.0.14 dated 2016-03-15

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Mon, 14 Mar 2016

Package WGCNA updated to version 1.51 with previous version 1.49 dated 2015-12-29

Title: Weighted Correlation Network Analysis
Description: Functions necessary to perform Weighted Correlation Network Analysis on high-dimensional data. Includes functions for rudimentary data cleaning, construction of correlation networks, module identification, summarization, and relating of variables and modules to sample traits. Also includes a number of utility functions for data manipulation and visualization.
Author: Peter Langfelder <Peter.Langfelder@gmail.com> and Steve Horvath <SHorvath@mednet.ucla.edu> with contributions by Chaochao Cai, Jun Dong, Jeremy Miller, Lin Song, Andy Yip, and Bin Zhang
Maintainer: Peter Langfelder <Peter.Langfelder@gmail.com>

Diff between WGCNA versions 1.49 dated 2015-12-29 and 1.51 dated 2016-03-14

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Package vegdata updated to version 0.8.9 with previous version 0.8.7 dated 2016-02-23

Title: Access Vegetation Databases and Treat Taxonomy
Description: Handling of vegetation data from Turboveg (<http://www.synbiosys.alterra.nl/turboveg/>) and other sources (<http://www.vegetweb.de>). Taxonomic harmonization given appropriate taxonomic lists (e.g. the German taxonomical standard list "GermanSL", <http://www.botanik.uni-greifswald.de/GermanSL.html>).
Author: Florian Jansen <jansen@uni-greifswald.de>
Maintainer: Florian Jansen <jansen@uni-greifswald.de>

Diff between vegdata versions 0.8.7 dated 2016-02-23 and 0.8.9 dated 2016-03-14

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Package pse updated to version 0.4.5 with previous version 0.4.3 dated 2015-09-24

Title: Parameter Space Exploration with Latin Hypercubes
Description: Functions for creating Latin Hypercubes with prescribed correlations and performing parameter space exploration. Also implements the PLUE method. Based on the package sensitivity, by Gilles Pujol, Bertrand Iooss & Alexandre Janon.
Author: Andre Chalom, Paulo Inacio Knegt Lopez de Prado
Maintainer: Andre Chalom <andrechalom@gmail.com>

Diff between pse versions 0.4.3 dated 2015-09-24 and 0.4.5 dated 2016-03-14

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Package NBDdirichlet updated to version 1.3 with previous version 1.01 dated 2011-09-10

Title: NBD-Dirichlet Model of Consumer Buying Behavior for Marketing Research
Description: The Dirichlet (aka NBD-Dirichlet) model describes the purchase incidence and brand choice of consumer products. We estimate the model and summarize various theoretical quantities of interest to marketing researchers. Also provides functions for making tables that compare observed and theoretical statistics.
Author: Feiming Chen
Maintainer: Feiming Chen <feimingchen@yahoo.com>

Diff between NBDdirichlet versions 1.01 dated 2011-09-10 and 1.3 dated 2016-03-14

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Package eHOF updated to version 1.7 with previous version 1.6 dated 2015-11-06

Title: Extended HOF (Huisman-Olff-Fresco) Models
Description: Extended and enhanced hierarchical logistic regression models (called Huisman-Olff-Fresco in biology, see Huisman eta l. 1993 JVS) models. Response curves along one-dimensional gradients including no response, monotone, plateau, unimodal and bimodal models.
Author: Florian Jansen, Jari Oksanen
Maintainer: Florian Jansen <jansen@uni-greifswald.de>

Diff between eHOF versions 1.6 dated 2015-11-06 and 1.7 dated 2016-03-14

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New package AlignStat with initial version 1.1
Package: AlignStat
Type: Package
Title: Comparison of Alternative Multiple Aequence Alignments
Version: 1.1
Date: 2016-03-14
Author: Thomas Shafee, Ira Cooke
Maintainer: Thomas Shafee <thomas.shafee@gmail.com>
Description: Methods for comparing two alternative multiple sequence alignments (MSAs) to determine whether they align homologous residues in the same columns as one another. It then classifies similarities and differences into conserved gaps, conserved sequence, merges, splits or shifts of one MSA relative to the other. Summarising these categories for each MSA column yields information on which sequence regions are agreed upon my both MSAs, and which differ. Several plotting functions enable easily visualisation of the comparison data for analysis.
License: GPL (>= 2)
Depends: R (>= 2.10)
Imports: Rcpp (>= 0.11.6), seqinr, ggplot2, reshape2
LinkingTo: Rcpp
Suggests: testthat
RoxygenNote: 5.0.1
NeedsCompilation: yes
Packaged: 2016-03-14 00:44:23 UTC; icooke
Repository: CRAN
Date/Publication: 2016-03-15 00:17:07

More information about AlignStat at CRAN
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Package shinyAce updated to version 0.2.1 with previous version 0.1.0 dated 2013-11-05

Title: Ace Editor Bindings for Shiny
Description: Ace editor bindings to enable a rich text editing environment within Shiny.
Author: Trestle Technology, LLC [aut], Jeff Allen [cre], Institut de Radioprotection et de Surete Nucleaire [cph], Ajax.org B.V. [ctb, cph] (Ace)
Maintainer: Jeff Allen <cran@trestletechnology.net>

Diff between shinyAce versions 0.1.0 dated 2013-11-05 and 0.2.1 dated 2016-03-14

 shinyAce-0.1.0/shinyAce/inst/www/ace/ext-options.js                   |only
 shinyAce-0.1.0/shinyAce/inst/www/ace/mode-html_completions.js         |only
 shinyAce-0.1.0/shinyAce/inst/www/ace/mode-mushcode_high_rules.js      |only
 shinyAce-0.1.0/shinyAce/inst/www/ace/mode-tmsnippet.js                |only
 shinyAce-0.1.0/shinyAce/inst/www/ace/snippets/html_completions.js     |only
 shinyAce-0.1.0/shinyAce/inst/www/ace/snippets/mushcode_high_rules.js  |only
 shinyAce-0.1.0/shinyAce/inst/www/ace/theme-kr.js                      |only
 shinyAce-0.2.1/shinyAce/DESCRIPTION                                   |   27 
 shinyAce-0.2.1/shinyAce/LICENSE                                       |    4 
 shinyAce-0.2.1/shinyAce/MD5                                           |  608 +++++-----
 shinyAce-0.2.1/shinyAce/NAMESPACE                                     |    5 
 shinyAce-0.2.1/shinyAce/NEWS                                          |only
 shinyAce-0.2.1/shinyAce/R/ace-autocomplete.R                          |only
 shinyAce-0.2.1/shinyAce/R/ace-editor.R                                |  156 ++
 shinyAce-0.2.1/shinyAce/R/update-ace-editor.R                         |   27 
 shinyAce-0.2.1/shinyAce/README.md                                     |   52 
 shinyAce-0.2.1/shinyAce/inst/examples/01-basic/server.R               |    4 
 shinyAce-0.2.1/shinyAce/inst/examples/02-eval/ui.R                    |    4 
 shinyAce-0.2.1/shinyAce/inst/examples/03-knitr/ui.R                   |    6 
 shinyAce-0.2.1/shinyAce/inst/examples/04-shinyui/ui.R                 |    4 
 shinyAce-0.2.1/shinyAce/inst/examples/05-hotkeys                      |only
 shinyAce-0.2.1/shinyAce/inst/examples/06-autocomplete                 |only
 shinyAce-0.2.1/shinyAce/inst/tests/test-js-quote.R                    |    8 
 shinyAce-0.2.1/shinyAce/inst/www/ace/ace.js                           |   10 
 shinyAce-0.2.1/shinyAce/inst/www/ace/ext-beautify.js                  |only
 shinyAce-0.2.1/shinyAce/inst/www/ace/ext-chromevox.js                 |    6 
 shinyAce-0.2.1/shinyAce/inst/www/ace/ext-elastic_tabstops_lite.js     |    6 
 shinyAce-0.2.1/shinyAce/inst/www/ace/ext-emmet.js                     |    6 
 shinyAce-0.2.1/shinyAce/inst/www/ace/ext-error_marker.js              |only
 shinyAce-0.2.1/shinyAce/inst/www/ace/ext-keybinding_menu.js           |    6 
 shinyAce-0.2.1/shinyAce/inst/www/ace/ext-language_tools.js            |    6 
 shinyAce-0.2.1/shinyAce/inst/www/ace/ext-linking.js                   |only
 shinyAce-0.2.1/shinyAce/inst/www/ace/ext-modelist.js                  |    6 
 shinyAce-0.2.1/shinyAce/inst/www/ace/ext-old_ie.js                    |    6 
 shinyAce-0.2.1/shinyAce/inst/www/ace/ext-searchbox.js                 |    6 
 shinyAce-0.2.1/shinyAce/inst/www/ace/ext-settings_menu.js             |    6 
 shinyAce-0.2.1/shinyAce/inst/www/ace/ext-spellcheck.js                |    6 
 shinyAce-0.2.1/shinyAce/inst/www/ace/ext-split.js                     |    6 
 shinyAce-0.2.1/shinyAce/inst/www/ace/ext-static_highlight.js          |    6 
 shinyAce-0.2.1/shinyAce/inst/www/ace/ext-statusbar.js                 |    6 
 shinyAce-0.2.1/shinyAce/inst/www/ace/ext-textarea.js                  |    6 
 shinyAce-0.2.1/shinyAce/inst/www/ace/ext-themelist.js                 |    6 
 shinyAce-0.2.1/shinyAce/inst/www/ace/ext-whitespace.js                |    6 
 shinyAce-0.2.1/shinyAce/inst/www/ace/keybinding-emacs.js              |    2 
 shinyAce-0.2.1/shinyAce/inst/www/ace/keybinding-vim.js                |    2 
 shinyAce-0.2.1/shinyAce/inst/www/ace/mode-abap.js                     |    2 
 shinyAce-0.2.1/shinyAce/inst/www/ace/mode-actionscript.js             |    2 
 shinyAce-0.2.1/shinyAce/inst/www/ace/mode-ada.js                      |    2 
 shinyAce-0.2.1/shinyAce/inst/www/ace/mode-apache_conf.js              |only
 shinyAce-0.2.1/shinyAce/inst/www/ace/mode-applescript.js              |only
 shinyAce-0.2.1/shinyAce/inst/www/ace/mode-asciidoc.js                 |    2 
 shinyAce-0.2.1/shinyAce/inst/www/ace/mode-assembly_x86.js             |    2 
 shinyAce-0.2.1/shinyAce/inst/www/ace/mode-autohotkey.js               |    2 
 shinyAce-0.2.1/shinyAce/inst/www/ace/mode-batchfile.js                |    2 
 shinyAce-0.2.1/shinyAce/inst/www/ace/mode-c9search.js                 |    2 
 shinyAce-0.2.1/shinyAce/inst/www/ace/mode-c_cpp.js                    |    2 
 shinyAce-0.2.1/shinyAce/inst/www/ace/mode-cirru.js                    |only
 shinyAce-0.2.1/shinyAce/inst/www/ace/mode-clojure.js                  |    2 
 shinyAce-0.2.1/shinyAce/inst/www/ace/mode-cobol.js                    |    2 
 shinyAce-0.2.1/shinyAce/inst/www/ace/mode-coffee.js                   |    2 
 shinyAce-0.2.1/shinyAce/inst/www/ace/mode-coldfusion.js               |    2 
 shinyAce-0.2.1/shinyAce/inst/www/ace/mode-csharp.js                   |    2 
 shinyAce-0.2.1/shinyAce/inst/www/ace/mode-css.js                      |    2 
 shinyAce-0.2.1/shinyAce/inst/www/ace/mode-curly.js                    |    2 
 shinyAce-0.2.1/shinyAce/inst/www/ace/mode-d.js                        |    2 
 shinyAce-0.2.1/shinyAce/inst/www/ace/mode-dart.js                     |    2 
 shinyAce-0.2.1/shinyAce/inst/www/ace/mode-diff.js                     |    2 
 shinyAce-0.2.1/shinyAce/inst/www/ace/mode-django.js                   |    2 
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 shinyAce-0.2.1/shinyAce/inst/www/ace/mode-dot.js                      |    2 
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 shinyAce-0.2.1/shinyAce/inst/www/ace/mode-ejs.js                      |    2 
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 shinyAce-0.2.1/shinyAce/inst/www/ace/mode-erlang.js                   |    2 
 shinyAce-0.2.1/shinyAce/inst/www/ace/mode-forth.js                    |    2 
 shinyAce-0.2.1/shinyAce/inst/www/ace/mode-ftl.js                      |    2 
 shinyAce-0.2.1/shinyAce/inst/www/ace/mode-gcode.js                    |only
 shinyAce-0.2.1/shinyAce/inst/www/ace/mode-gherkin.js                  |only
 shinyAce-0.2.1/shinyAce/inst/www/ace/mode-gitignore.js                |only
 shinyAce-0.2.1/shinyAce/inst/www/ace/mode-glsl.js                     |    2 
 shinyAce-0.2.1/shinyAce/inst/www/ace/mode-golang.js                   |    2 
 shinyAce-0.2.1/shinyAce/inst/www/ace/mode-groovy.js                   |    2 
 shinyAce-0.2.1/shinyAce/inst/www/ace/mode-haml.js                     |    2 
 shinyAce-0.2.1/shinyAce/inst/www/ace/mode-handlebars.js               |    2 
 shinyAce-0.2.1/shinyAce/inst/www/ace/mode-haskell.js                  |    2 
 shinyAce-0.2.1/shinyAce/inst/www/ace/mode-haxe.js                     |    2 
 shinyAce-0.2.1/shinyAce/inst/www/ace/mode-html.js                     |    2 
 shinyAce-0.2.1/shinyAce/inst/www/ace/mode-html_ruby.js                |    2 
 shinyAce-0.2.1/shinyAce/inst/www/ace/mode-ini.js                      |    2 
 shinyAce-0.2.1/shinyAce/inst/www/ace/mode-io.js                       |only
 shinyAce-0.2.1/shinyAce/inst/www/ace/mode-jack.js                     |    2 
 shinyAce-0.2.1/shinyAce/inst/www/ace/mode-jade.js                     |    2 
 shinyAce-0.2.1/shinyAce/inst/www/ace/mode-java.js                     |    2 
 shinyAce-0.2.1/shinyAce/inst/www/ace/mode-javascript.js               |    2 
 shinyAce-0.2.1/shinyAce/inst/www/ace/mode-json.js                     |    2 
 shinyAce-0.2.1/shinyAce/inst/www/ace/mode-jsoniq.js                   |    2 
 shinyAce-0.2.1/shinyAce/inst/www/ace/mode-jsp.js                      |    2 
 shinyAce-0.2.1/shinyAce/inst/www/ace/mode-jsx.js                      |    2 
 shinyAce-0.2.1/shinyAce/inst/www/ace/mode-julia.js                    |    2 
 shinyAce-0.2.1/shinyAce/inst/www/ace/mode-latex.js                    |    2 
 shinyAce-0.2.1/shinyAce/inst/www/ace/mode-less.js                     |    2 
 shinyAce-0.2.1/shinyAce/inst/www/ace/mode-liquid.js                   |    2 
 shinyAce-0.2.1/shinyAce/inst/www/ace/mode-lisp.js                     |    2 
 shinyAce-0.2.1/shinyAce/inst/www/ace/mode-livescript.js               |    2 
 shinyAce-0.2.1/shinyAce/inst/www/ace/mode-logiql.js                   |    2 
 shinyAce-0.2.1/shinyAce/inst/www/ace/mode-lsl.js                      |    2 
 shinyAce-0.2.1/shinyAce/inst/www/ace/mode-lua.js                      |    2 
 shinyAce-0.2.1/shinyAce/inst/www/ace/mode-luapage.js                  |    2 
 shinyAce-0.2.1/shinyAce/inst/www/ace/mode-lucene.js                   |    2 
 shinyAce-0.2.1/shinyAce/inst/www/ace/mode-makefile.js                 |    2 
 shinyAce-0.2.1/shinyAce/inst/www/ace/mode-markdown.js                 |    2 
 shinyAce-0.2.1/shinyAce/inst/www/ace/mode-matlab.js                   |    2 
 shinyAce-0.2.1/shinyAce/inst/www/ace/mode-mel.js                      |only
 shinyAce-0.2.1/shinyAce/inst/www/ace/mode-mushcode.js                 |    2 
 shinyAce-0.2.1/shinyAce/inst/www/ace/mode-mysql.js                    |    2 
 shinyAce-0.2.1/shinyAce/inst/www/ace/mode-nix.js                      |    2 
 shinyAce-0.2.1/shinyAce/inst/www/ace/mode-objectivec.js               |    2 
 shinyAce-0.2.1/shinyAce/inst/www/ace/mode-ocaml.js                    |    2 
 shinyAce-0.2.1/shinyAce/inst/www/ace/mode-pascal.js                   |    2 
 shinyAce-0.2.1/shinyAce/inst/www/ace/mode-perl.js                     |    2 
 shinyAce-0.2.1/shinyAce/inst/www/ace/mode-pgsql.js                    |    2 
 shinyAce-0.2.1/shinyAce/inst/www/ace/mode-php.js                      |    2 
 shinyAce-0.2.1/shinyAce/inst/www/ace/mode-plain_text.js               |    2 
 shinyAce-0.2.1/shinyAce/inst/www/ace/mode-powershell.js               |    2 
 shinyAce-0.2.1/shinyAce/inst/www/ace/mode-praat.js                    |only
 shinyAce-0.2.1/shinyAce/inst/www/ace/mode-prolog.js                   |    2 
 shinyAce-0.2.1/shinyAce/inst/www/ace/mode-properties.js               |    2 
 shinyAce-0.2.1/shinyAce/inst/www/ace/mode-protobuf.js                 |    2 
 shinyAce-0.2.1/shinyAce/inst/www/ace/mode-python.js                   |    2 
 shinyAce-0.2.1/shinyAce/inst/www/ace/mode-r.js                        |    2 
 shinyAce-0.2.1/shinyAce/inst/www/ace/mode-rdoc.js                     |    2 
 shinyAce-0.2.1/shinyAce/inst/www/ace/mode-rhtml.js                    |    2 
 shinyAce-0.2.1/shinyAce/inst/www/ace/mode-ruby.js                     |    2 
 shinyAce-0.2.1/shinyAce/inst/www/ace/mode-rust.js                     |    2 
 shinyAce-0.2.1/shinyAce/inst/www/ace/mode-sass.js                     |    2 
 shinyAce-0.2.1/shinyAce/inst/www/ace/mode-scad.js                     |    2 
 shinyAce-0.2.1/shinyAce/inst/www/ace/mode-scala.js                    |    2 
 shinyAce-0.2.1/shinyAce/inst/www/ace/mode-scheme.js                   |    2 
 shinyAce-0.2.1/shinyAce/inst/www/ace/mode-scss.js                     |    2 
 shinyAce-0.2.1/shinyAce/inst/www/ace/mode-sh.js                       |    2 
 shinyAce-0.2.1/shinyAce/inst/www/ace/mode-sjs.js                      |    2 
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 shinyAce-0.2.1/shinyAce/inst/www/ace/mode-snippets.js                 |    2 
 shinyAce-0.2.1/shinyAce/inst/www/ace/mode-soy_template.js             |    2 
 shinyAce-0.2.1/shinyAce/inst/www/ace/mode-space.js                    |    2 
 shinyAce-0.2.1/shinyAce/inst/www/ace/mode-sql.js                      |    2 
 shinyAce-0.2.1/shinyAce/inst/www/ace/mode-stylus.js                   |    2 
 shinyAce-0.2.1/shinyAce/inst/www/ace/mode-svg.js                      |    2 
 shinyAce-0.2.1/shinyAce/inst/www/ace/mode-tcl.js                      |    2 
 shinyAce-0.2.1/shinyAce/inst/www/ace/mode-tex.js                      |    2 
 shinyAce-0.2.1/shinyAce/inst/www/ace/mode-textile.js                  |    2 
 shinyAce-0.2.1/shinyAce/inst/www/ace/mode-toml.js                     |    2 
 shinyAce-0.2.1/shinyAce/inst/www/ace/mode-twig.js                     |    2 
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 shinyAce-0.2.1/shinyAce/inst/www/ace/mode-xml.js                      |    2 
 shinyAce-0.2.1/shinyAce/inst/www/ace/mode-xquery.js                   |    2 
 shinyAce-0.2.1/shinyAce/inst/www/ace/mode-yaml.js                     |    2 
 shinyAce-0.2.1/shinyAce/inst/www/ace/snippets/abap.js                 |    2 
 shinyAce-0.2.1/shinyAce/inst/www/ace/snippets/actionscript.js         |    2 
 shinyAce-0.2.1/shinyAce/inst/www/ace/snippets/ada.js                  |    2 
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 shinyAce-0.2.1/shinyAce/inst/www/ace/snippets/autohotkey.js           |    2 
 shinyAce-0.2.1/shinyAce/inst/www/ace/snippets/batchfile.js            |    2 
 shinyAce-0.2.1/shinyAce/inst/www/ace/snippets/c9search.js             |    2 
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 shinyAce-0.2.1/shinyAce/inst/www/ace/snippets/cobol.js                |    2 
 shinyAce-0.2.1/shinyAce/inst/www/ace/snippets/coffee.js               |    2 
 shinyAce-0.2.1/shinyAce/inst/www/ace/snippets/coldfusion.js           |    2 
 shinyAce-0.2.1/shinyAce/inst/www/ace/snippets/csharp.js               |    2 
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 shinyAce-0.2.1/shinyAce/inst/www/ace/snippets/nix.js                  |    2 
 shinyAce-0.2.1/shinyAce/inst/www/ace/snippets/objectivec.js           |    2 
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 shinyAce-0.2.1/shinyAce/inst/www/ace/snippets/pgsql.js                |    2 
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Package rivr updated to version 1.2 with previous version 1.1 dated 2015-10-16

Title: Steady and Unsteady Open-Channel Flow Computation
Description: A tool for undergraduate and graduate courses in open-channel hydraulics. Provides functions for computing normal and critical depths, steady-state water surface profiles (e.g. backwater curves) and unsteady flow computations (e.g. flood wave routing).
Author: Michael C Koohafkan [aut, cre]
Maintainer: Michael C Koohafkan <michael.koohafkan@gmail.com>

Diff between rivr versions 1.1 dated 2015-10-16 and 1.2 dated 2016-03-14

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More information about rivr at CRAN
Permanent link

Package rdd updated to version 0.57 with previous version 0.56 dated 2013-10-11

Title: Regression Discontinuity Estimation
Description: Provides the tools to undertake estimation in Regression Discontinuity Designs. Both sharp and fuzzy designs are supported. Estimation is accomplished using local linear regression. A provided function will utilize Imbens-Kalyanaraman optimal bandwidth calculation. A function is also included to test the assumption of no-sorting effects.
Author: Drew Dimmery
Maintainer: Drew Dimmery <drewd@nyu.edu>

Diff between rdd versions 0.56 dated 2013-10-11 and 0.57 dated 2016-03-14

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New package PenCoxFrail with initial version 1.0.0
Package: PenCoxFrail
Type: Package
Title: Regularization in Cox Frailty Models
Version: 1.0.0
Date: 2016-03-14
Author: Andreas Groll
Maintainer: Andreas Groll <groll@mathematik.uni-muenchen.de>
Description: A regularization approach for Cox Frailty Models by penalization methods is provided.
License: GPL (>= 2)
Imports: Rcpp (>= 0.11.6), Matrix
Depends: survival
LinkingTo: Rcpp, RcppArmadillo
Repository: CRAN
NeedsCompilation: yes
Packaged: 2016-03-14 18:14:26 UTC; user
Date/Publication: 2016-03-15 00:06:14

More information about PenCoxFrail at CRAN
Permanent link

Package minerva updated to version 1.4.5 with previous version 1.4.1 dated 2014-08-26

Title: Maximal Information-Based Nonparametric Exploration R Package for Variable Analysis
Description: R wrapper for 'cmine' implementation of Maximal Information-based Nonparametric Exploration statistics (MIC and MINE family). Detailed information of the ANSI C implementation 'cmine' can be found at 'http://mpba.fbk.eu/cmine'.
Author: Michele Filosi [aut, cre], Roberto Visintainer [aut], Davide Albanese [aut], Samantha Riccadonna [ctb], Giuseppe Jurman [ctb], Cesare Furlanello [ctb]
Maintainer: Michele Filosi <filosi@fbk.eu>

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Package ggmcmc updated to version 0.8 with previous version 0.7.3 dated 2016-01-04

Title: Tools for Analyzing MCMC Simulations from Bayesian Inference
Description: Tools for assessing and diagnosing convergence of Markov Chain Monte Carlo simulations, as well as for graphically display results from full MCMC analysis. The package also facilitates the graphical interpretation of models by providing flexible functions to plot the results against observed variables.
Author: Xavier Fernández i Marín <xavier.fim@gmail.com>
Maintainer: Xavier Fernández i Marín <xavier.fim@gmail.com>

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Permanent link

Package fdapace updated to version 0.1.1 with previous version 0.1.0 dated 2016-03-13

Title: Functional Data Analysis and Empirical Dynamics
Description: Provides implementation of various methods of Functional Data Analysis (FDA) and Empirical Dynamics. The core of this package is Functional Principal Component Analysis (FPCA), a key technique for functional data analysis, for sparsely or densely sampled random trajectories and time courses, via the Principal Analysis by Conditional Estimation (PACE) algorithm or numerical integration. PACE is useful for the analysis of data that have been generated by a sample of underlying (but usually not fully observed) random trajectories. It does not rely on pre-smoothing of trajectories, which is problematic if functional data are sparsely sampled. PACE provides options for functional regression and correlation, for Longitudinal Data Analysis, the analysis of stochastic processes from samples of realized trajectories, and for the analysis of underlying dynamics. The core computational algorithms are implemented using the 'Eigen' C++ library for numerical linear algebra and 'RcppEigen' "glue".
Author: Xiongtao Dai, Pantelis Z. Hadjipantelis, Hao Ji, Hans-Georg Mueller, Jane-Ling Wang
Maintainer: Pantelis Z. Hadjipantelis <pantelis@ucdavis.edu>

Diff between fdapace versions 0.1.0 dated 2016-03-13 and 0.1.1 dated 2016-03-14

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Permanent link

New package datadr with initial version 0.8.4
Package: datadr
Type: Package
Title: Divide and Recombine for Large, Complex Data
Version: 0.8.4
Date: 2016-03-14
Authors@R: c(person("Ryan", "Hafen", email = "rhafen@gmail.com", role = c("aut", "cre")), person("Landon", "Sego", role = "ctb"))
Maintainer: Ryan Hafen <rhafen@gmail.com>
Description: Methods for dividing data into subsets, applying analytical methods to the subsets, and recombining the results. Comes with a generic MapReduce interface as well. Works with key-value pairs stored in memory, on local disk, or on HDFS, in the latter case using the R and Hadoop Integrated Programming Environment (RHIPE).
License: BSD_3_clause + file LICENSE
URL: http://tessera.io/docs-datadr
LazyLoad: yes
LazyData: yes
NeedsCompilation: no
Imports: data.table (>= 1.9.6), digest, codetools, hexbin, parallel, magrittr, dplyr, methods
Suggests: testthat (>= 0.11.0), roxygen2 (>= 5.0.1), Rhipe
RoxygenNote: 5.0.1
Additional_repositories: http://ml.stat.purdue.edu/packages
Packaged: 2016-03-14 18:58:23 UTC; hafen
Author: Ryan Hafen [aut, cre], Landon Sego [ctb]
Repository: CRAN
Date/Publication: 2016-03-14 23:55:14

More information about datadr at CRAN
Permanent link

Package Zelig updated to version 5.0-10 with previous version 5.0-9 dated 2015-12-01

Title: Everyone's Statistical Software
Description: A framework that brings together an abundance of common statistical models found across packages into a unified interface, and provides a common architecture for estimation and interpretation, as well as bridging functions to absorb increasingly more models into the collective library. Zelig allows each individual package, for each statistical model, to be accessed by a common uniformly structured call and set of arguments. Moreover, Zelig automates all the surrounding building blocks of a statistical work-flow --procedures and algorithms that may be essential to one user's application but which the original package developer did not use in their own research and might not themselves support. These include bootstrapping, jackknifing, and re-weighting of data. In particular, Zelig automatically generates predicted and simulated quantities of interest (such as relative risk ratios, average treatment effects, first differences and predicted and expected values) to interpret and visualize complex models.
Author: Christine Choirat, James Honaker, Kosuke Imai, Gary King, Olivia Lau
Maintainer: James Honaker <zelig-zee@iq.harvard.edu>

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Package treeclim updated to version 1.0.16 with previous version 1.0.15 dated 2016-03-11

Title: Numerical Calibration of Proxy-Climate Relationships
Description: Bootstrapped response and correlation functions, seasonal correlations and evaluation of reconstruction skills for use in dendroclimatology and dendroecology.
Author: Christian Zang [aut, cre, cph, trl], Franco Biondi [ctb, cph]
Maintainer: Christian Zang <christian.zang@wzw.tum.de>

Diff between treeclim versions 1.0.15 dated 2016-03-11 and 1.0.16 dated 2016-03-14

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Package sjmisc updated to version 1.6 with previous version 1.5 dated 2016-02-11

Title: Data Transformation and Labelled Data Utility Functions
Description: Collection of miscellaneous utility functions (especially intended for people coming from other statistical software packages like 'SPSS', and/ or who are new to R), supporting following common tasks: 1) Reading and writing data between R and other statistical software packages like 'SPSS', 'SAS' or 'Stata' and working with labelled data; this includes easy ways to get and set label attributes, to convert labelled vectors into factors (and vice versa), or to deal with multiple declared missing values etc. 2) Data transformation tasks like recoding, dichotomizing or grouping variables, setting and replacing missing values. 3) Convenient functions to perform frequently used statistical tests, or to calculate various commonly used statistical coefficients.
Author: Daniel Lüdecke <d.luedecke@uke.de>
Maintainer: Daniel Lüdecke <d.luedecke@uke.de>

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Package piecewiseSEM updated to version 1.1 with previous version 1.0.3 dated 2016-02-01

Title: Piecewise Structural Equation Modeling
Description: Implements piecewise structural equation models.
Author: Jon Lefcheck
Maintainer: Jon Lefcheck <jslefche@vims.edu>

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Package latdiag updated to version 0.2-2 with previous version 0.2-1 dated 2015-01-16

Title: Draws Diagrams Useful for Checking Latent Scales
Description: A graph proposed by Rosenbaum is useful for checking some properties of various sorts of latent scale, this program generates commands to obtain the graph using 'dot' from 'graphviz'.
Author: Michael Dewey
Maintainer: Michael Dewey <lists@dewey.myzen.co.uk>

Diff between latdiag versions 0.2-1 dated 2015-01-16 and 0.2-2 dated 2016-03-14

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New package iWISA with initial version 1.0-2
Package: iWISA
Type: Package
Title: Wavelet-Based Index of Storm Activity
Version: 1.0-2
Date: 2015-11-24
Authors@R: c(person("Inga", "Maslova", role="aut"), person("Wen", "Xiao", role=c("aut","cre"), email="wx5356a@student.american.edu"))
Depends: R (>= 2.10.0), stats
Imports: waveslim, fda, ggplot2, splines, graphics
Description: A powerful system for estimating an improved wavelet-based index of magnetic storm activity, storm activity preindex (from individual station) and SQ variations. It also serves as a flexible visualization tool.
Author: Inga Maslova [aut], Wen Xiao [aut, cre]
Maintainer: Wen Xiao <wx5356a@student.american.edu>
LazyData: true
License: GPL-2 | GPL-3
Repository: CRAN
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-03-14 15:13:16 UTC; Chelsey
Date/Publication: 2016-03-14 17:58:21

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Package enviPat updated to version 2.1 with previous version 2.0 dated 2015-06-05

Title: Isotope Pattern, Profile and Centroid Calculation for Mass Spectrometry
Description: Fast and very memory-efficient calculation of isotope patterns, subsequent convolution to theoretical envelopes (profiles) plus valley detection and centroidization or intensoid calculation. Batch processing, resolution interpolation, wrapper, adduct calculations and molecular formula parsing.
Author: Martin Loos, Christian Gerber
Maintainer: Martin Loos <martin.loos@alumni.ethz.ch>

Diff between enviPat versions 2.0 dated 2015-06-05 and 2.1 dated 2016-03-14

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New package tutorial with initial version 0.2.1
Package: tutorial
Type: Package
Title: Convert R Markdown Files to DataCamp Light HTML Files
Version: 0.2.1
Author: Filip Schouwenaars
Maintainer: Filip Schouwenaars <filip@datacamp.com>
URL: https://github.com/datacamp/tutorial
BugReports: https://github.com/datacamp/tutorial/issues
Description: DataCamp Light (<https://github.com/datacamp/datacamp-light>) is a light-weight implementation of the DataCamp UI, that allows you to embed interactive exercises inside HTML documents. The 'tutorial' package makes it easy to create these HTML files from R Markdown files. A wrapper around the 'rmarkdown' package, 'tutorial' pre-detects code chunks with the 'ex' and 'type' properties, and replaces the chunks with DataCamp Light readable chunks in the resulting HTML file.
License: MIT + file LICENSE
LazyData: TRUE
Imports: markdown, rmarkdown
Suggests: testthat
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-03-14 13:49:32 UTC; filip
Repository: CRAN
Date/Publication: 2016-03-14 15:23:56

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Package presens updated to version 2.0.0 with previous version 1.0.0 dated 2015-02-10

Title: R Interface for PreSens Fiber Optic Data
Description: Makes output files from select PreSens Fiber Optic Oxygen Transmitters easier to work with in R. See http://www.presens.de for more information about PreSens (Precision Sensing GmbH).
Author: Matthew A. Birk
Maintainer: Matthew A. Birk <matthewabirk@gmail.com>

Diff between presens versions 1.0.0 dated 2015-02-10 and 2.0.0 dated 2016-03-14

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Package nontarget updated to version 1.8 with previous version 1.7 dated 2015-01-17

Title: Detecting Isotope, Adduct and Homologue Relations in LC-MS Data
Description: Screening a HRMS data set for peaks related by (1) isotope patterns, (2) different adducts of the same molecule and/or (3) homologue series. The resulting isotopic pattern and adduct groups can then be combined to so-called components, with homologue series information attached. Also allows plotting and filtering HRMS data for mass defects, frequent m/z distances and components vs. non-components.
Author: Martin Loos
Maintainer: Martin Loos <Martin.Loos@eawag.ch>

Diff between nontarget versions 1.7 dated 2015-01-17 and 1.8 dated 2016-03-14

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Package nlme updated to version 3.1-126 with previous version 3.1-125 dated 2016-02-27

Title: Linear and Nonlinear Mixed Effects Models
Description: Fit and compare Gaussian linear and nonlinear mixed-effects models.
Author: José Pinheiro [aut] (S version), Douglas Bates [aut] (up to 2007), Saikat DebRoy [ctb] (up to 2002), Deepayan Sarkar [ctb] (up to 2005), EISPACK authors [ctb] (src/rs.f), Siem Heisterkamp [ctb] (Author fixed sigma), Bert Van Willigen [ctb] (Programmer fixed sigma), R-core [aut, cre]
Maintainer: R-core <R-core@R-project.org>

Diff between nlme versions 3.1-125 dated 2016-02-27 and 3.1-126 dated 2016-03-14

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Package enviPick updated to version 1.4 with previous version 1.3 dated 2014-11-29

Title: Peak Picking for High Resolution Mass Spectrometry Data
Description: Sequential partitioning, clustering and peak detection of centroided LC-MS mass spectrometry data (.mzXML). Interactive result and raw data plot.
Author: Martin Loos
Maintainer: Martin Loos <Martin.Loos@eawag.ch>

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New package DisimForMixed with initial version 0.1
Package: DisimForMixed
Type: Package
Title: Calculate Dissimilarity Matrix for Dataset with Mixed Attributes
Version: 0.1
Date: 2016-03-08
Author: Hasanthi A. Pathberiya
Maintainer: Hasanthi A. Pathberiya <hasaanu@gmail.com>
Imports: dplyr, cluster
Description: Implement the methods proposed by Ahmad & Dey (2007) <doi:10.1016/j.datak.2007.03.016> in calculating the dissimilarity matrix at the presence of mixed attributes. This Package includes functions to discretize quantitative variables, calculate conditional probability for each pair of attribute values, distance between every pair of attribute values, significance of attributes, calculate dissimilarity between each pair of objects.
License: GPL
LazyData: TRUE
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-03-14 13:22:41 UTC; hasan
Repository: CRAN
Date/Publication: 2016-03-14 15:23:47

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Package selectiongain updated to version 2.0.50.1 with previous version 2.0.40 dated 2014-12-29

Title: A Tool for Calculation and Optimization of the Expected Gain from Multi-Stage Selection
Description: Multi-stage selection is practiced in numerous fields of life and social sciences and particularly in breeding. A special characteristic of multi-stage selection is that candidates are evaluated in successive stages with increasing intensity and effort, and only a fraction of the superior candidates is selected and promoted to the next stage. For the optimum design of such selection programs, the selection gain plays a crucial role. It can be calculated by integration of a truncated multivariate normal (MVN) distribution. While mathematical formulas for calculating the selection gain and the variance among selected candidates were developed long time ago, solutions for numerical calculation were not available. This package can also be used for optimizing multi-stage selection programs for a given total budget and different costs of evaluating the candidates in each stage.
Author: Xuefei Mi, Jose Marulanda, H. Friedrich Utz, Albrecht E. Melchinger (Project contact person: Melchinger@uni-hohenheim.de )
Maintainer: Xuefei Mi <mi_xue_fei@hotmail.com>

Diff between selectiongain versions 2.0.40 dated 2014-12-29 and 2.0.50.1 dated 2016-03-14

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Package FDboost updated to version 0.1-0 with previous version 0.0-8 dated 2015-02-16

Title: Boosting Functional Regression Models
Description: Regression models for functional data, i.e., scalar-on-function, function-on-scalar and function-on-function regression models, are fitted by a component-wise gradient boosting algorithm.
Author: Sarah Brockhaus [aut, cre], David Ruegamer [ctb], Torsten Hothorn [ctb], with contributions by many others (see inst/CONTRIBUTIONS) [ctb]
Maintainer: Sarah Brockhaus <Sarah.Brockhaus@stat.uni-muenchen.de>

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Package DandEFA updated to version 1.6 with previous version 1.5 dated 2014-04-25

Title: Dandelion Plot for R-Mode Exploratory Factor Analysis
Description: Contains the function used to create the Dandelion Plot. Dandelion Plot is a visualization method for R-mode Exploratory Factor Analysis.
Author: Artur Manukyan, Ahmet Sedef, Erhan Cene, Ibrahim Demir
Maintainer: Artur Manukyan <artur-man@hotmail.com>

Diff between DandEFA versions 1.5 dated 2014-04-25 and 1.6 dated 2016-03-14

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Package ggseas updated to version 0.3.0 with previous version 0.2.1 dated 2016-02-29

Title: 'stats' for Seasonal Adjustment on the Fly with 'ggplot2'
Description: Provides 'ggplot2' 'stats' that estimate seasonally adjusted series and rolling summaries such as rolling average on the fly for time series.
Author: Peter Ellis <peter.ellis2013nz@gmail.com>
Maintainer: Peter Ellis <peter.ellis2013nz@gmail.com>

Diff between ggseas versions 0.2.1 dated 2016-02-29 and 0.3.0 dated 2016-03-14

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Package x13binary updated to version 0.1.2 with previous version 0.1.1 dated 2016-02-10

Title: Provide the 'x13ashtml' Seasonal Adjustment Binary
Description: The US Census provides a seasonal adjustment program now called 'X-13ARIMA-SEATS' building on both earlier Census programs called X-11 and X-12 as well as the SEATS program by the Bank of Spain. Census offers both source and binary versions -- which this package integrates for use by other R packages.
Author: Dirk Eddelbuettel and Christoph Sax
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between x13binary versions 0.1.1 dated 2016-02-10 and 0.1.2 dated 2016-03-14

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New package thregI with initial version 1.0.1
Package: thregI
Type: Package
Title: Threshold Regression for Interval-Censored Data with Cure-Rate or without Cure-Rate Model
Version: 1.0.1
Date: 2016-3-14
Author: Man-Hua Chen
Maintainer: Man-Hua Chen <mchen@mail.tku.edu.tw>
Depends: survival, Formula
Description: Fit a threshold regression model for interval-censored data based on the first-hitting-time of a boundary by the sample path of a Wiener diffusion process. The threshold regression methodology is well suited to applications involving survival and time-to-event data.
License: GPL-2
LazyLoad: yes
NeedsCompilation: no
Packaged: 2016-03-14 01:18:42 UTC; Manman
Repository: CRAN
Date/Publication: 2016-03-14 07:54:30

More information about thregI at CRAN
Permanent link

Package SharpeR updated to version 1.1.0 with previous version 1.0.0 dated 2015-06-18

Title: Statistical Significance of the Sharpe Ratio
Description: A collection of tools for analyzing significance of trading strategies, based on the Sharpe ratio and overfit of the same.
Author: Steven E. Pav [aut, cre]
Maintainer: Steven E. Pav <shabbychef@gmail.com>

Diff between SharpeR versions 1.0.0 dated 2015-06-18 and 1.1.0 dated 2016-03-14

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Package RODBCDBI updated to version 0.1.1 with previous version 0.1 dated 2015-12-02

Title: Provides Access to Databases Through the ODBC Interface
Description: An implementation of R's DBI interface using ODBC package as a back-end. This allows R to connect to any DBMS that has a ODBC driver.
Author: Nagi Teramo [aut, cre], Shinichi Takayanagi [aut]
Maintainer: Nagi Teramo <teramonagi@gmail.com>

Diff between RODBCDBI versions 0.1 dated 2015-12-02 and 0.1.1 dated 2016-03-14

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New package RMediation with initial version 1.1.4
Package: RMediation
Type: Package
Title: Mediation Analysis Confidence Intervals
Version: 1.1.4
Date: 2016-3-12
Author: Davood Tofighi <dtofighi@unm.com> and David P. MacKinnon <davidpm@asu.edu>
Maintainer: Davood Tofighi <dtofighi@unm.edu>
Depends: R (>= 2.11.0), base, MASS, lavaan, e1071
Description: We provide functions to compute confidence intervals (CIs) for a well-defined nonlinear function of the model parameters (e.g., product of k coefficients) in single--level and multilevel structural equation models.
License: GPL-2
URL: http://amp.gatech.edu/RMediation http://amp.gatech.edu/MonteCarlo http://www.public.asu.edu/~davidpm/ripl/Prodclin
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-03-13 21:52:40 UTC; Davood
Repository: CRAN
Date/Publication: 2016-03-14 07:57:49

More information about RMediation at CRAN
Permanent link

Package plotly updated to version 3.4.1 with previous version 2.0.16 dated 2015-12-20

Title: Create Interactive Web Graphics via 'plotly.js'
Description: Easily translate 'ggplot2' graphs to an interactive web-based version and/or create custom web-based visualizations directly from R. Once uploaded to a 'plotly' account, 'plotly' graphs (and the data behind them) can be viewed and modified in a web browser.
Author: Carson Sievert [aut, cre], Chris Parmer [aut, cph], Toby Hocking [aut], Scott Chamberlain [aut], Karthik Ram [aut], Marianne Corvellec [aut], Pedro Despouy [aut]
Maintainer: Carson Sievert <cpsievert1@gmail.com>

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Package minval updated to version 0.2 with previous version 0.1 dated 2016-02-16

Title: MINimal VALidation for Stoichiometric Reactions
Description: For a given set of stoichiometric reactions, this package evaluates the mass balance and extracts all reactants, products, orphan metabolites, metabolite names and compartments. Also are included some options to check the compound names associated to Chemical Entities of Biological Interest (ChEBI) database <https://www.ebi.ac.uk/chebi>.
Author: Daniel Osorio [aut,cre], Janneth Gonzalez [aut], Andres Pinzon-Velasco [aut]
Maintainer: Daniel Osorio <dcosorioh@unal.edu.co>

Diff between minval versions 0.1 dated 2016-02-16 and 0.2 dated 2016-03-14

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More information about minval at CRAN
Permanent link

Package logisticPCA updated to version 0.2 with previous version 0.1 dated 2015-10-05

Title: Binary Dimensionality Reduction
Description: Dimensionality reduction techniques for binary data including logistic PCA.
Author: Andrew J. Landgraf
Maintainer: Andrew J. Landgraf <andland@gmail.com>

Diff between logisticPCA versions 0.1 dated 2015-10-05 and 0.2 dated 2016-03-14

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 LICENSE                                  |    4 
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More information about logisticPCA at CRAN
Permanent link

New package growthrates with initial version 0.6.5
Package: growthrates
Type: Package
Title: Estimate Growth Rates from Experimental Data
Version: 0.6.5
Date: 2016-03-12
LazyData: yes
Author: Thomas Petzoldt
Maintainer: Thomas Petzoldt <thomas.petzoldt@tu-dresden.de>
Description: A collection of methods to determine growth rates from experimental data, in particular from batch experiments and plate reader trials.
Depends: lattice, deSolve
Imports: stats, graphics, methods, parallel, utils, FME
License: GPL (>= 2)
URL: https://github.com/tpetzoldt/growthrates
VignetteBuilder: knitr
Suggests: knitr
RoxygenNote: 5.0.1
Collate: 'aaa_growthmodel-class.R' 'aab_growthmodel-constructor.R' 'aac_classes.R' 'aad_set_generics.R' 'all_easylinear.R' 'all_growthmodels.R' 'all_splines.R' 'bactgrowth.R' 'cost.R' 'extract.R' 'fit_easylinear.R' 'fit_growthmodel.R' 'fit_spline.R' 'grow_baranyi.R' 'grow_exponential.R' 'grow_genlogistic.R' 'grow_gompertz.R' 'grow_huang.R' 'grow_logistic.R' 'grow_richards.R' 'grow_twostep.R' 'growthrates-package.R' 'lm_window.R' 'methods.R' 'multisplit.R' 'names.R' 'parse_formula.R' 'parse_formula_nonlin.R' 'plot.R' 'utilities.R'
NeedsCompilation: yes
Packaged: 2016-03-13 20:14:27 UTC; user
Repository: CRAN
Date/Publication: 2016-03-14 07:54:21

More information about growthrates at CRAN
Permanent link

Package funModeling updated to version 1.1 with previous version 1.0 dated 2016-02-07

Title: Learning Data Cleaning, Visual Analysis and Model Performance
Description: Learn data cleaning, visual data analysis and model performance assessment (KS, AUC and ROC), package core is in the vignette documentation explaining last topics as a tutorial.
Author: Pablo Casas
Maintainer: Pablo Casas <pabloc@datascienceheroes.com>

Diff between funModeling versions 1.0 dated 2016-02-07 and 1.1 dated 2016-03-14

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Package curvHDR updated to version 1.1-0 with previous version 1.0-3 dated 2011-12-23

Title: Filtering of Flow Cytometry Samples
Description: Filtering, also known as gating, of flow cytometry samples using the curvHDR method.
Author: Matt Wand [aut, cre], George Luta [aut], Ulrike Naumann [aut], Mathew W. McLean [ctb], Dai Feng [ctb], Luke Tierney [ctb], Florian Hahne [ctb]
Maintainer: Matt Wand <matt.wand@uts.edu.au>

Diff between curvHDR versions 1.0-3 dated 2011-12-23 and 1.1-0 dated 2016-03-14

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Sun, 13 Mar 2016

Package git2r updated to version 0.14.0 with previous version 0.13.1 dated 2015-12-10

Title: Provides Access to Git Repositories
Description: Interface to the 'libgit2' library, which is a pure C implementation of the 'Git' core methods. Provides access to 'Git' repositories to extract data and running some basic 'Git' commands.
Author: See AUTHORS file.
Maintainer: Stefan Widgren <stefan.widgren@gmail.com>

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Package pendensity updated to version 0.2.10 with previous version 0.2.9 dated 2016-03-01

Title: Density Estimation with a Penalized Mixture Approach
Description: Estimation of univariate (conditional) densities using penalized B-splines with automatic selection of optimal smoothing parameter.
Author: Christian Schellhase
Maintainer: Christian Schellhase <cschellhase@wiwi.uni-bielefeld.de>

Diff between pendensity versions 0.2.9 dated 2016-03-01 and 0.2.10 dated 2016-03-13

 DESCRIPTION               |    8 ++++----
 MD5                       |    6 +++---
 R/plot.pendensity.R       |   35 ++++++++++++++++++-----------------
 man/pendensity-package.Rd |    4 ++--
 4 files changed, 27 insertions(+), 26 deletions(-)

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New package censorcopula with initial version 1.0
Package: censorcopula
Type: Package
Title: Estimate Parameter of Bivariate Copula
Version: 1.0
Date: 2016-03-07
Author: Yan Li
Maintainer: Yan Li <YanLi_stats@hotmail.com>
Description: Implement an interval censor method to break ties when using data with ties to fitting a bivariate copula.
License: GPL (>= 2)
Depends: copula
NeedsCompilation: no
Packaged: 2016-03-13 10:47:22 UTC; Leonhard
Repository: CRAN
Date/Publication: 2016-03-13 15:07:27

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New package MultivariateRandomForest with initial version 1.0
Package: MultivariateRandomForest
Type: Package
Title: Multivariate Random Forest for Linearly Related Output Features
Version: 1.0
Date: 2016-03-11
Author: Raziur Rahman <razeeebuet@gmail.com>
Maintainer: Raziur Rahman <razeeebuet@gmail.com>
Description: In Random Forest prediction has been done for single output feature, while linear relation between the output features are not considered. In this package, using linear relation of the output features, a multivariate random forest prediction has been done.
License: GPL-3
RoxygenNote: 5.0.1
Imports: bootstrap, stats
Packaged: 2016-03-12 19:16:24 UTC; razrahma
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2016-03-13 11:29:37

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Package glmnet updated to version 2.0-4 with previous version 2.0-3 dated 2016-02-23

Title: Lasso and Elastic-Net Regularized Generalized Linear Models
Description: Extremely efficient procedures for fitting the entire lasso or elastic-net regularization path for linear regression, logistic and multinomial regression models, Poisson regression and the Cox model. Two recent additions are the multiple-response Gaussian, and the grouped multinomial. The algorithm uses cyclical coordinate descent in a path-wise fashion, as described in the paper linked to via the URL below.
Author: Jerome Friedman, Trevor Hastie, Noah Simon, Rob Tibshirani
Maintainer: Trevor Hastie <hastie@stanford.edu>

Diff between glmnet versions 2.0-3 dated 2016-02-23 and 2.0-4 dated 2016-03-13

 DESCRIPTION               |    8 ++++----
 MD5                       |   10 +++++-----
 R/predict.glmnet.R        |    2 +-
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Package glmmsr updated to version 0.1.1 with previous version 0.1.0 dated 2016-03-09

Title: Fit a Generalized Linear Mixed Model
Description: Conduct inference about generalized linear mixed models, with a choice about which method to use to approximate the likelihood. In addition to the Laplace and adaptive Gaussian quadrature approximations, which are borrowed from 'lme4', the likelihood may be approximated by the sequential reduction approximation, or an importance sampling approximation. These methods provide an accurate approximation to the likelihood in some situations where it is not possible to use adaptive Gaussian quadrature.
Author: Helen Ogden [aut, cre]
Maintainer: Helen Ogden <heogden12@gmail.com>

Diff between glmmsr versions 0.1.0 dated 2016-03-09 and 0.1.1 dated 2016-03-13

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New package fdapace with initial version 0.1.0
Package: fdapace
Type: Package
Title: Functional Data Analysis and Empirical Dynamics
URL: https://github.com/hadjipantelis/tPACE (development branch)
Version: 0.1.0
Date: 2016-02-10
Author: Xiongtao Dai, Pantelis Z. Hadjipantelis, Hao Ji, Hans-Georg Mueller, Jane-Ling Wang
Maintainer: Pantelis Z. Hadjipantelis <pantelis@ucdavis.edu>
Description: Provides implementation of various methods of Functional Data Analysis (FDA) and Empirical Dynamics. The core of this package is Functional Principal Component Analysis (FPCA), a key technique for functional data analysis, for sparsely or densely sampled random trajectories and time courses, via the Principal Analysis by Conditional Estimation (PACE) algorithm or numerical integration. PACE is useful for the analysis of data that have been generated by a sample of underlying (but usually not fully observed) random trajectories. It does not rely on pre-smoothing of trajectories, which is problematic if functional data are sparsely sampled. PACE provides options for functional regression and correlation, for Longitudinal Data Analysis, the analysis of stochastic processes from samples of realized trajectories, and for the analysis of underlying dynamics. The core computational algorithms are implemented using the 'Eigen' C++ library for numerical linear algebra and 'RcppEigen' "glue".
License: BSD_3_clause + file LICENSE
LazyData: false
Imports: Rcpp (>= 0.11.5), Hmisc, plot3D, Matrix, pracma, numDeriv
LinkingTo: Rcpp, RcppEigen
Suggests: rgl, aplpack, mgcv, ks, MASS, gtools
NeedsCompilation: yes
RoxygenNote: 5.0.1
Packaged: 2016-03-12 19:33:10 UTC; pantelis
Repository: CRAN
Date/Publication: 2016-03-13 11:29:39

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Sat, 12 Mar 2016

New package RtutoR with initial version 0.1
Package: RtutoR
Type: Package
Title: Tutorial App for Learning R
Version: 0.1
Date: 2016-03-04
Author: Anup Nair [aut, cre]
Maintainer: Anup Nair <nairanup50695@gmail.com>
Description: Contains functions for launching Tutorial Apps, which covers different aspects of the R programming language. This first version includes a "R Basics" app, which provides a set of most commonly performed data manipulation tasks in R. The app structures the contents into different topics and provides an interactive & dynamic interface for navigation.
Depends: R (>= 3.1.0)
License: GPL
Imports: dplyr, ggplot2, shiny, shinydashboard, rmarkdown, DT
LazyData: TRUE
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-03-12 08:22:26 UTC; anup.a.nair
Repository: CRAN
Date/Publication: 2016-03-12 16:15:44

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Package hunspell updated to version 1.1 with previous version 1.0 dated 2016-03-10

Title: Spell Checker and Text Parser for R
Description: A spell checker and morphological analyzer library designed for languages with rich morphology and complex word compounding or character encoding. The package can check and analyze individual words as well as search for incorrect words within a text, latex or manual document.
Author: Jeroen Ooms
Maintainer: Jeroen Ooms <jeroen.ooms@stat.ucla.edu>

Diff between hunspell versions 1.0 dated 2016-03-10 and 1.1 dated 2016-03-12

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Package mdsdt updated to version 1.2 with previous version 1.1 dated 2015-09-01

Title: Functions for Analysis of Data with General Recognition Theory
Description: Tools associated with General Recognition Theory (Townsend & Ashby, 1986), including Gaussian model fitting of 2x2 and more general designs, associated plotting and model comparison tools, and tests of marginal response invariance and report independence.
Author: Robert X.D. Hawkins <rxdh@stanford.edu>, Joe Houpt <joseph.houpt@wright.edu>, Noah Silbert <noahpoah@gmail.com>, Leslie Blaha <Leslie.Blaha@wpafb.af.mil>, Thomas D. Wickens <twickens@socrates.berkeley.edu>
Maintainer: Robert X.D. Hawkins <rxdh@stanford.edu>

Diff between mdsdt versions 1.1 dated 2015-09-01 and 1.2 dated 2016-03-12

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Package chillR updated to version 0.62 with previous version 0.60 dated 2016-03-08

Title: Statistical Methods for Phenology Analysis in Temperate Fruit Trees
Description: The phenology of plants (i.e. the timing of their annual life phases) depends on climatic cues. For temperate trees and many other plants, spring phases, such as leaf emergence and flowering, have been found to result from the effects of both cool (chilling) conditions and heat. Fruit tree scientists (pomologists) have developed some metrics to quantify chilling and heat. 'chillR' contains functions for processing temperature records into chilling (Chilling Hours, Utah Chill Units and Chill Portions) and heat units (Growing Degree Hours). Regarding chilling metrics, Chill Portions are often considered the most promising, but they are difficult to calculate. This package makes it easy. 'chillR' also contains procedures for conducting a PLS analysis relating phenological dates (e.g. bloom dates) to either mean temperatures or mean chill and heat accumulation rates, based on long-term weather and phenology records.
Author: Eike Luedeling
Maintainer: Eike Luedeling <eike@eikeluedeling.com>

Diff between chillR versions 0.60 dated 2016-03-08 and 0.62 dated 2016-03-12

 DESCRIPTION                               |   23 
 MD5                                       |  159 ++---
 NAMESPACE                                 |  103 +++
 R/PLS_chill_force.R                       |  501 +++++++++++++-----
 R/PLS_pheno.R                             |  412 ++++++++++----
 R/VIP.R                                   |   69 ++
 R/YEARMODA2Date.R                         |   32 -
 R/bloom_prediction.R                      |  268 +++++++--
 R/chile_agromet2chillR.R                  |  105 ++-
 R/chillR-package.R                        |only
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 R/chilling.R                              |  419 ++++++++++-----
 R/chilling_hourtable.R                    |  372 +++++++++----
 R/color_bar_maker.R                       |   60 +-
 R/daily_chill.R                           |  210 ++++++-
 R/fix_weather.R                           |  186 ++++--
 R/get_last_date.R                         |   47 +
 R/get_weather.R                           |  182 ++++--
 R/handle_chile_agromet.R                  |  343 ++++++++----
 R/handle_cimis.R                          |  554 ++++++++++++--------
 R/handle_gsod.R                           |  434 ++++++++++-----
 R/handle_ucipm.R                          |  399 +++++++++-----
 R/handle_wunderground.R                   |  357 ++++++++----
 R/interpolate_gaps.R                      |  121 ++--
 R/leap_year.R                             |   26 
 R/make_all_day_table.R                    |   99 ++-
 R/make_california_UCIPM_station_list.R    |   80 +-
 R/make_chill_plot.R                       |  219 ++++---
 R/make_daily_chill_figures.R              |  263 +++++++--
 R/make_daily_chill_plot.R                 |  405 ++++++++------
 R/make_hourly_temps.R                     |  194 ++++---
 R/make_multi_pheno_trend_plot.R           |  348 +++++++-----
 R/make_pheno_trend_plot.R                 |  360 ++++++++-----
 R/plot_pheno_results.R                    |  825 +++++++++++++++++-------------
 R/runn_mean.R                             |   51 +
 R/stack_hourly_temps.R                    |  101 ++-
 R/tempResponse.R                          |  192 ++++--
 R/temp_models.R                           |  420 +++++++++++----
 R/weather2chillR.R                        |   97 ++-
 man/Chilling_Hours.Rd                     |  104 ++-
 man/Dynamic_Model.Rd                      |   99 ++-
 man/GDH.Rd                                |   91 +--
 man/KA_bloom.Rd                           |   62 +-
 man/KA_weather.Rd                         |   65 +-
 man/PLS_chill_force.Rd                    |  428 +++++++++------
 man/PLS_pheno.Rd                          |  272 ++++++---
 man/Utah_Model.Rd                         |   99 ++-
 man/VIP.Rd                                |  111 ++--
 man/YEARMODA2Date.Rd                      |   63 +-
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More information about chillR at CRAN
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Package viridisLite updated to version 0.1.3 with previous version 0.1.2 dated 2016-03-04

Title: Default Color Maps from 'matplotlib' (Lite Version)
Description: Port of the new 'matplotlib' color maps ('viridis' - the default -, 'magma', 'plasma' and 'inferno') to 'R'. 'matplotlib' <http://matplotlib.org/ > is a popular plotting library for 'python'. These color maps are designed in such a way that they will analytically be perfectly perceptually-uniform, both in regular form and also when converted to black-and-white. They are also designed to be perceived by readers with the most common form of color blindness. This is the 'lite' version of the more complete 'viridis' package that can be found at <https://cran.r-project.org/package=viridis>.
Author: Simon Garnier [aut, cre], Noam Ross [ctb, cph], Bob Rudis [ctb, cph]
Maintainer: Simon Garnier <garnier@njit.edu>

Diff between viridisLite versions 0.1.2 dated 2016-03-04 and 0.1.3 dated 2016-03-12

 DESCRIPTION |    8 ++++----
 MD5         |    6 +++---
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 README.md   |    2 +-
 4 files changed, 16 insertions(+), 10 deletions(-)

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Package viridis updated to version 0.3.4 with previous version 0.3.3 dated 2016-03-04

Title: Default Color Maps from 'matplotlib'
Description: Port of the new 'matplotlib' color maps ('viridis' - the default -, 'magma', 'plasma' and 'inferno') to 'R'. 'matplotlib' <http://matplotlib.org/ > is a popular plotting library for 'python'. These color maps are designed in such a way that they will analytically be perfectly perceptually-uniform, both in regular form and also when converted to black-and-white. They are also designed to be perceived by readers with the most common form of color blindness.
Author: Simon Garnier [aut, cre], Noam Ross [ctb, cph] (Continuous scale), Bob Rudis [ctb, cph] (Combined scales)
Maintainer: Simon Garnier <garnier@njit.edu>

Diff between viridis versions 0.3.3 dated 2016-03-04 and 0.3.4 dated 2016-03-12

 DESCRIPTION |    8 ++++----
 MD5         |    6 +++---
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 4 files changed, 16 insertions(+), 10 deletions(-)

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Package Rphylopars updated to version 0.2.1 with previous version 0.1.1 dated 2015-06-02

Title: Phylogenetic Comparative Tools for Missing Data and Within-Species Variation
Description: Tools for performing phylogenetic comparative methods for datasets with with multiple observations per species (intraspecific variation or measurement error) and/or missing data. Performs ancestral state reconstruction and missing data imputation on the estimated evolutionary model, which can be specified as Brownian Motion, Ornstein-Uhlenbeck, Early-Burst, Pagel's lambda, kappa, or delta, or a star phylogeny.
Author: Eric W. Goolsby, Jorn Bruggeman, Cecile Ane
Maintainer: Eric W. Goolsby <eric.goolsby.evolution@gmail.com>

Diff between Rphylopars versions 0.1.1 dated 2015-06-02 and 0.2.1 dated 2016-03-12

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 19 files changed, 936 insertions(+), 4397 deletions(-)

More information about Rphylopars at CRAN
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Package redland updated to version 1.0.17-7 with previous version 1.0.17-6 dated 2016-02-18

Title: RDF Library Bindings in R
Description: Provides methods to parse, query and serialize information stored in the Resource Description Framework (RDF). RDF is described at <http://www.w3.org/TR/rdf-primer>. This package supports RDF by implementing an R interface to the Redland RDF C library, described at <http://librdf.org/docs/api/index.html>. In brief, RDF provides a structured graph consisting of Statements composed of Subject, Predicate, and Object Nodes.
Author: Matthew B. Jones [aut, cre], Peter Slaughter [aut], Jeroen Ooms [aut], Carl Boettiger [aut], Scott Chamberlain [aut], David Beckett [cph], University of Bristol [cph], Regents of the University of California [cph]
Maintainer: Matthew B. Jones <jones@nceas.ucsb.edu>

Diff between redland versions 1.0.17-6 dated 2016-02-18 and 1.0.17-7 dated 2016-03-12

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 23 files changed, 96 insertions(+), 85 deletions(-)

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Package PVAClone updated to version 0.1-6 with previous version 0.1-5 dated 2016-02-05

Title: Population Viability Analysis with Data Cloning
Description: Likelihood based population viability analysis in the presence of observation error and missing data. The package can be used to fit, compare, predict, and forecast various growth model types using data cloning.
Author: Khurram Nadeem, Peter Solymos
Maintainer: Peter Solymos <solymos@ualberta.ca>

Diff between PVAClone versions 0.1-5 dated 2016-02-05 and 0.1-6 dated 2016-03-12

 DESCRIPTION     |   14 +++++++-------
 MD5             |    8 ++++----
 NAMESPACE       |    4 ++--
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 5 files changed, 34 insertions(+), 19 deletions(-)

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Permanent link

New package Pijavski with initial version 1.0
Package: Pijavski
Type: Package
Title: Global Univariate Minimization
Version: 1.0
Date: 2016-02-29
Authors@R: c(person("Gleb", "Beliakov", role = c("aut", "cre"), email = "gleb@deakin.edu.au"), person("Gita", "Das", role = "aut"), person("Jonathan", "Wells", role = "ctb"), person("Hewlett-Packard", "Company", role = "ctb"), person("Silicon Graphics Computer Systems", "Inc.", role = "ctb"))
Maintainer: Gleb Beliakov <gleb@deakin.edu.au>
Author: Gleb Beliakov [aut, cre], Gita Das [aut], Jonathan Wells [ctb], Hewlett-Packard Company [ctb], Silicon Graphics Computer Systems Inc. [ctb]
Description: Global univariate minimization of Lipschitz functions is performed by using Pijavski method, which was published in Pijavski (1972) <DOI:10.1016/0041-5553(72)90115-2>.
License: LGPL-3
LazyData: TRUE
Imports: Rcpp (>= 0.12.3)
LinkingTo: Rcpp
RoxygenNote: 5.0.1
NeedsCompilation: yes
Copyright: Implementation of the binary heap is by Hewlett-Packard Company (1994), Silicon Graphics Computer Systems, Inc.(1996-1999). Modifications to the code by Johnathan Wells (2002)
Packaged: 2016-03-01 03:24:35 UTC; gitad
Repository: CRAN
Date/Publication: 2016-03-12 08:51:11

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New package openVA with initial version 1.0
Package: openVA
Type: Package
Title: Automated Method for Verbal Autopsy
Version: 1.0
Date: 2016-03-11
Author: Zehang Li, Tyler McCormick, Sam Clark
Maintainer: Zehang Li <lizehang@uw.edu>
Depends: R (>= 2.15.0), InSilicoVA (>= 1.1), InterVA4 (>= 1.7.1), Tariff (>= 1.0.1), ggplot2
Description: Implements multiple existing open-source algorithms for coding cause of death from verbal autopsies. It also provides tools for data manipulation tasks commonly used in Verbal Autopsy analysis and implements easy graphical visualization of individual and population level statistics.
License: GPL-2
NeedsCompilation: no
Packaged: 2016-03-11 23:45:49 UTC; zehangli
Repository: CRAN
Date/Publication: 2016-03-12 06:15:57

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New package lazysql with initial version 0.1.3
Package: lazysql
Type: Package
Title: Lazy SQL Programming
Version: 0.1.3
Date: 2016-03-11
Description: Helper functions to build SQL statements for dbGetQuery or dbSendQuery under program control. They are intended to increase speed of coding and to reduce coding errors. Arguments are carefully checked, in particular SQL identifiers such as names of tables or columns. More patterns will be added as required.
Authors@R: person("Uwe", "Block", email = "u.block.mz@gmail.com", role = c("aut", "cre"))
URL: https://github.com/UweBlock/lazysql
BugReports: https://github.com/UweBlock/lazysql/issues
License: MIT + file LICENSE
LazyData: TRUE
Imports: checkmate (>= 1.7.2), magrittr, plyr
Suggests: testthat
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-03-11 23:59:50 UTC; Uwe
Author: Uwe Block [aut, cre]
Maintainer: Uwe Block <u.block.mz@gmail.com>
Repository: CRAN
Date/Publication: 2016-03-12 06:16:37

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Package GuardianR updated to version 0.6 with previous version 0.5 dated 2014-09-16

Title: The Guardian API Wrapper
Description: Provides an interface to the Open Platform's Content API of the Guardian Media Group. It retrieves content from news outlets The Observer, The Guardian, and guardian.co.uk from 1999 to current day.
Author: Marco T. Bastos & Cornelius Puschmann
Maintainer: Marco T. Bastos <marco@toledobastos.com>

Diff between GuardianR versions 0.5 dated 2014-09-16 and 0.6 dated 2016-03-12

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Package fermicatsR updated to version 1.4 with previous version 1.3 dated 2015-05-28

Title: Fermi Large Area Telescope Catalogs
Description: Data from various catalogs of astrophysical gamma-ray sources detected by NASA's Large Area Telescope (The Astrophysical Journal, 697, 1071, 2009 June 1), on board the Fermi gamma-ray satellite. More information on Fermi and its data products is available from the Fermi Science Support Center (http://fermi.gsfc.nasa.gov/ssc/).
Author: Pablo Saz Parkinson [aut, cre]
Maintainer: Pablo Saz Parkinson <sazpark2@gmail.com>

Diff between fermicatsR versions 1.3 dated 2015-05-28 and 1.4 dated 2016-03-12

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Package dcmle updated to version 0.3-1 with previous version 0.3-0 dated 2016-01-14

Title: Hierarchical Models Made Easy with Data Cloning
Description: S4 classes around infrastructure provided by the 'coda' and 'dclone' packages to make package development easy as a breeze with data cloning for hierarchical models.
Author: Peter Solymos
Maintainer: Peter Solymos <solymos@ualberta.ca>

Diff between dcmle versions 0.3-0 dated 2016-01-14 and 0.3-1 dated 2016-03-12

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 6 files changed, 26 insertions(+), 17 deletions(-)

More information about dcmle at CRAN
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Package dclone updated to version 2.1-2 with previous version 2.1-1 dated 2016-01-12

Title: Data Cloning and MCMC Tools for Maximum Likelihood Methods
Description: Low level functions for implementing maximum likelihood estimating procedures for complex models using data cloning and Bayesian Markov chain Monte Carlo methods. Sequential and parallel MCMC support for JAGS, WinBUGS and OpenBUGS.
Author: Peter Solymos
Maintainer: Peter Solymos <solymos@ualberta.ca>

Diff between dclone versions 2.1-1 dated 2016-01-12 and 2.1-2 dated 2016-03-12

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Package rscala updated to version 1.0.9 with previous version 1.0.8 dated 2015-12-10

Title: Bi-Directional Interface Between R and Scala with Callbacks
Description: The Scala interpreter is embedded in R and callbacks to R from the embedded interpreter are supported. Conversely, the R interpreter is embedded in Scala. Scala versions 2.10 and 2.11 are supported.
Author: David B. Dahl [aut, cre], Scala developers [ctb] (see http://scala-lang.org/)
Maintainer: David B. Dahl <dahl@stat.byu.edu>

Diff between rscala versions 1.0.8 dated 2015-12-10 and 1.0.9 dated 2016-03-12

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Package mboost updated to version 2.6-0 with previous version 2.5-0 dated 2015-08-14

Title: Model-Based Boosting
Description: Functional gradient descent algorithm (boosting) for optimizing general risk functions utilizing component-wise (penalised) least squares estimates or regression trees as base-learners for fitting generalized linear, additive and interaction models to potentially high-dimensional data.
Author: Torsten Hothorn [aut], Peter Buehlmann [aut], Thomas Kneib [aut], Matthias Schmid [aut], Benjamin Hofner [aut, cre], Fabian Sobotka [ctb], Fabian Scheipl [ctb]
Maintainer: Benjamin Hofner <benjamin.hofner@fau.de>

Diff between mboost versions 2.5-0 dated 2015-08-14 and 2.6-0 dated 2016-03-12

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Fri, 11 Mar 2016

Package TAM updated to version 1.17-0 with previous version 1.16-0 dated 2016-02-01

Title: Test Analysis Modules
Description: Includes marginal maximum likelihood estimation of uni- and multidimensional item response models (Rasch, 2PL, 3PL, Generalized Partial Credit, Multi Facets, Nominal Item Response, Structured Latent Class Analysis, Mixture Distribution IRT Models, Located Latent Class Models) and joint maximum likelihood estimation for models from the Rasch family. Latent regression models and plausible value imputation are also supported.
Author: Thomas Kiefer [aut], Alexander Robitzsch [aut, cre], Margaret Wu [aut]
Maintainer: Alexander Robitzsch <robitzsch@ipn.uni-kiel.de>

Diff between TAM versions 1.16-0 dated 2016-02-01 and 1.17-0 dated 2016-03-11

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Package rhandsontable updated to version 0.3.1 with previous version 0.3 dated 2016-02-01

Title: Interface to the 'Handsontable.js' Library
Description: An R interface to the 'Handsontable' JavaScript library, which is a minimalist Excel-like data grid editor.
Author: Jonathan Owen [aut, cre, cph], Jeff Allen [ctb], Yihui Xie [ctb], Enzo Martoglio [ctb], Warpechowski Marcin [ctb, cph] (Handsontable.js library), Handsoncode sp. z o.o. [ctb, cph] (Handsontable.js library), Aisch Gregor [ctb, cph] (Chroma.js library), Wood Tim [ctb, cph] (Moment.js library), Chernev Iskren [ctb, cph] (Moment.js library), Moment.js contributors [ctb, cph] (Moment.js library), Bushell David [ctb, cph] (Pikaday.js library), jQuery Foundation [ctb, cph] (jQuery.js library), Splunk Inc [ctb, cph] (Sparkline.js library), Rohan Jon [ctb, cph] (ZeroClipboard library), Greene James [ctb, cph] (ZeroClipboard library)
Maintainer: Jonathan Owen <jonathanro@gmail.com>

Diff between rhandsontable versions 0.3 dated 2016-02-01 and 0.3.1 dated 2016-03-11

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Package randomizeR updated to version 1.2.0 with previous version 1.1.0 dated 2016-01-19

Title: Randomization for Clinical Trials
Description: This tool enables the user to choose a randomization procedure based on sound scientific criteria. It comprises the generation of randomization sequences as well the assessment of randomization procedures based on carefully selected criteria. Furthermore, randomizeR provides a function for the comparison of randomization procedures.
Author: David Schindler [aut], Diane Uschner [aut, cre], Martin Manolov [ctb], Thi Mui Pham [ctb], Ralf-Dieter Hilgers [aut, ths], Nicole Heussen [aut, ths]
Maintainer: Diane Uschner <duschner@ukaachen.de>

Diff between randomizeR versions 1.1.0 dated 2016-01-19 and 1.2.0 dated 2016-03-11

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Package FRESA.CAD updated to version 2.2.0 with previous version 2.1.3 dated 2015-09-04

Title: Feature Selection Algorithms for Computer Aided Diagnosis
Description: Contains a set of utilities for building and testing formula-based models (linear, logistic or COX) for Computer Aided Diagnosis/Prognosis applications. Utilities include data adjustment, univariate analysis, model building, model-validation, longitudinal analysis, reporting and visualization.
Author: Jose Gerardo Tamez-Pena, Antonio Martinez-Torteya and Israel Alanis
Maintainer: Jose Gerardo Tamez-Pena <jose.tamezpena@itesm.mx>

Diff between FRESA.CAD versions 2.1.3 dated 2015-09-04 and 2.2.0 dated 2016-03-11

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Permanent link

New package deductive with initial version 0.1.0
Package: deductive
Maintainer: Mark van der Loo <mark.vanderloo@gmail.com>
License: GPL-3
Title: Data Correction and Imputation Using Deductive Methods
LazyData: no
Type: Package
LazyLoad: yes
Authors@R: c(person("Mark", "van der Loo",role=c("cre","aut"),email="mark.vanderloo@gmail.com") , person("Edwin", "de Jonge", role="aut"))
Description: Attempt to repair inconsistencies and missing values in data records by using information from valid values and validation rules restricting the data.
Version: 0.1.0
Depends: R (>= 3.2.0)
URL: https://github.com/data-cleaning/deductive
BugReports: https://github.com/data-cleaning/deductive/issues
Date: 2016-03-11
Imports: methods, lintools (>= 0.1.1.1), validate, stringdist
Suggests: testthat, knitr
RoxygenNote: 5.0.1
NeedsCompilation: yes
Packaged: 2016-03-11 14:10:22 UTC; mark
Author: Mark van der Loo [cre, aut], Edwin de Jonge [aut]
Repository: CRAN
Date/Publication: 2016-03-12 00:33:30

More information about deductive at CRAN
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Package cocron updated to version 1.0-1 with previous version 1.0-0 dated 2013-09-21

Title: Statistical Comparisons of Two or more Alpha Coefficients
Description: Statistical tests for the comparison between two or more alpha coefficients based on either dependent or independent groups of individuals. A web interface is available at http://comparingcronbachalphas.org. A plugin for the R GUI and IDE RKWard is included. Please install RKWard from https:// rkward.kde.org to use this feature. The respective R package 'rkward' cannot be installed directly from a repository, as it is a part of RKWard.
Author: Birk Diedenhofen [aut, cre]
Maintainer: Birk Diedenhofen <mail@birkdiedenhofen.de>

Diff between cocron versions 1.0-0 dated 2013-09-21 and 1.0-1 dated 2016-03-11

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Package coarseDataTools updated to version 0.6-3 with previous version 0.6-2 dated 2013-08-05

Title: A Collection of Functions to Help with Analysis of Coarsely Observed Data
Description: Functions to analyze coarse data. Specifically, it contains functions to (1) fit parametric accelerated failure time models to interval-censored survival time data, and (2) estimate the case-fatality ratio in scenarios with under-reporting. This package's development was motivated by applications to infectious disease: in particular, problems with estimating the incubation period and the case fatality ratio of a given disease. Sample data files are included in the package.
Author: Nicholas G. Reich <nick@schoolph.umass.edu>, Justin Lessler <jlessler@jhsph.edu>, Andrew Azman <andrewazman@gmail.com>
Maintainer: Nicholas G. Reich <nick@schoolph.umass.edu>

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Package ChaosGame updated to version 0.2 with previous version 0.1 dated 2016-02-23

Title: Chaos Game
Description: The main objective of the package is to enter a word of at least two letters based on which an Iterated Function System with Probabilities (IFSP) is constructed, and a two-dimensional fractal containing the chosen word infinitely often is generated via the Chaos Game. Additionally, the package allows to project the two-dimensional fractal on several three-dimensional surfaces and to transform the fractal into another fractal with uniform marginals.
Author: Manuela Schreyer <manuelalarissa.schreyer@sbg.ac.at>, Wolfgang Trutschnig <Wolfgang.Trutschnig@sbg.ac.at>
Maintainer: Manuela Schreyer <manuelalarissa.schreyer@sbg.ac.at>

Diff between ChaosGame versions 0.1 dated 2016-02-23 and 0.2 dated 2016-03-11

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Package zoon updated to version 0.4.23 with previous version 0.4.21 dated 2015-12-10

Title: Reproducible, Accessible & Shareable Species Distribution Modelling
Description: Reproducible and remixable species distribution modelling. The package reads user submitted modules from an online repository, runs full SDM workflows and returns output that is fully reproducible.
Author: Tim Lucas, Nick Golding, Tom August, Greg McInerny, Emiel van Loon
Maintainer: Tom August <tomaug@ceh.ac.uk>

Diff between zoon versions 0.4.21 dated 2015-12-10 and 0.4.23 dated 2016-03-11

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New package polychaosbasics with initial version 1.1-0
Package: polychaosbasics
Version: 1.1-0
Date: 2016-03-10
Title: Sensitivity Indexes Calculated from Polynomial Chaos Expansions
Author: A. Bouvier [aut], J.-P. Gauchi [cre], A. Bensadoun [aut]
Maintainer: Annie Bouvier <annie.bouvier@jouy.inra.fr>
Depends: methods
Imports: utils, lhs, MASS
Suggests: graphics, stats
Description: Computation of sensitivity indexes by using a method based on a truncated Polynomial Chaos Expansions of the response. The necessary condition of the method is: the inputs must be uniformly and independently sampled. Since the inputs are uniformly distributed, the truncated Polynomial Chaos Expansion is built from the multivariate Legendre orthogonal polynomials.
License: GPL (>= 2)
Collate: generic.R UtilPolychaos.R analyticsPolyLeg.R PCEdesign-class.R PCEfit-class.R PCEpoly-class.R PCESI.R polyLeg.R
NeedsCompilation: no
Packaged: 2016-03-11 10:35:54 UTC; abouvier
Repository: CRAN
Date/Publication: 2016-03-11 19:19:26

More information about polychaosbasics at CRAN
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Package hdi updated to version 0.1-5 with previous version 0.1-2 dated 2014-08-11

Title: High-Dimensional Inference
Description: Implementation of multiple approaches to perform inference in high-dimensional models.
Author: Lukas Meier [aut, cre], Ruben Dezeure [aut], Nicolai Meinshausen [aut], Martin Maechler [aut], Peter Buehlmann [aut]
Maintainer: Lukas Meier <meier@stat.math.ethz.ch>

Diff between hdi versions 0.1-2 dated 2014-08-11 and 0.1-5 dated 2016-03-11

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Package gamboostLSS updated to version 1.2-1 with previous version 1.2-0 dated 2015-08-19

Title: Boosting Methods for 'GAMLSS'
Description: Boosting models for fitting generalized additive models for location, shape and scale ('GAMLSS') to potentially high dimensional data.
Author: Benjamin Hofner, Andreas Mayr, Nora Fenske, Matthias Schmid
Maintainer: Benjamin Hofner <benjamin.hofner@fau.de>

Diff between gamboostLSS versions 1.2-0 dated 2015-08-19 and 1.2-1 dated 2016-03-11

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Package COPASutils (with last version 0.1.6) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2015-01-15 0.1.6
2014-12-10 0.1.5
2014-10-05 0.1.4
2014-07-04 0.1

Permanent link
Package arqas (with last version 1.3) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2015-09-20 1.3
2015-06-15 1.1
2015-06-01 1.0

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Package iNEXT (with last version 2.0.5) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2015-09-18 2.0.5
2015-06-30 2.0.3

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Package survPresmooth updated to version 1.1-9 with previous version 1.1-8 dated 2013-09-05

Title: Presmoothed Estimation in Survival Analysis
Description: Presmoothed estimators of survival, density, cumulative and non-cumulative hazard functions with right-censored survival data.
Author: Ignacio Lopez de Ullibarri and Maria Amalia Jacome
Maintainer: Ignacio Lopez de Ullibarri <ilu@udc.es>

Diff between survPresmooth versions 1.1-8 dated 2013-09-05 and 1.1-9 dated 2016-03-11

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New package MonetDBLite with initial version 0.2.0
Package: MonetDBLite
Version: 0.2.0
Title: In-Process Version of MonetDB for R
Authors@R: c(person("Hannes Muehleisen", role = c("aut", "cre"), email = "hannes@cwi.nl"), person("MonetDB Development Team", role="ctb"))
Author: Hannes Muehleisen [aut, cre], MonetDB Development Team [ctb]
Maintainer: Hannes Muehleisen <hannes@cwi.nl>
Description: An in-process version of MonetDB, a relational database focused on analytical tasks. Similar to SQLite, the database runs entirely inside the R shell, with the main difference that queries complete much faster thanks to MonetDB's columnar architecture.
License: MPL (== 1.1)
URL: http://www.monetdb.org
NeedsCompilation: yes
Packaged: 2016-03-10 16:00:28 UTC; hannes
Repository: CRAN
Date/Publication: 2016-03-11 11:30:54

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Package MCMCpack updated to version 1.3-5 with previous version 1.3-4 dated 2016-02-11

Title: Markov Chain Monte Carlo (MCMC) Package
Description: Contains functions to perform Bayesian inference using posterior simulation for a number of statistical models. Most simulation is done in compiled C++ written in the Scythe Statistical Library Version 1.0.3. All models return coda mcmc objects that can then be summarized using the coda package. Some useful utility functions such as density functions, pseudo-random number generators for statistical distributions, a general purpose Metropolis sampling algorithm, and tools for visualization are provided.
Author: Andrew D. Martin, Kevin M. Quinn, and Jong Hee Park
Maintainer: Jong Hee Park <jongheepark@snu.ac.kr>

Diff between MCMCpack versions 1.3-4 dated 2016-02-11 and 1.3-5 dated 2016-03-11

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Package highriskzone updated to version 1.3-1 with previous version 1.3 dated 2015-11-16

Title: Determining and Evaluating High-Risk Zones
Description: Functions for determining and evaluating high-risk zones and simulating and thinning point process data, as described in 'Determining high risk zones using point process methodology - Realization by building an R package' (Seibold, 2012) and 'Determining high-risk zones for unexploded World War II bombs by using point process methodology' (Mahling et al., 2013).
Author: Heidi Seibold <Heidi.Seibold@uzh.ch>, Monia Mahling <monia.mahling@stat.uni-muenchen.de>, Sebastian Linne <Sebastian.Linne@campus.lmu.de>
Maintainer: Heidi Seibold <Heidi.Seibold@uzh.ch>

Diff between highriskzone versions 1.3 dated 2015-11-16 and 1.3-1 dated 2016-03-11

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Package wru updated to version 0.0-2 with previous version 0.0-1 dated 2015-12-09

Title: Who Are You? Bayesian Prediction of Racial Category Using Surname and Geolocation
Description: This open-source software package enables researchers to predict individual ethnicity using his/her surname, geolocation, and other attributes such as gender and age. The method utilizes the Bayes' rule to compute the posterior probability of each racial category for any given individual voter. The package implements methods described in Imai and Khanna (2016) <DOI:10.1093/pan/mpw001>.
Author: Kabir Khanna [aut, cre], Kosuke Imai [aut, cre]
Maintainer: Kabir Khanna <kkhanna@princeton.edu>

Diff between wru versions 0.0-1 dated 2015-12-09 and 0.0-2 dated 2016-03-11

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Package treeclim updated to version 1.0.15 with previous version 1.0.13 dated 2015-11-26

Title: Numerical Calibration of Proxy-Climate Relationships
Description: Bootstrapped response and correlation functions, seasonal correlations and evaluation of reconstruction skills for use in dendroclimatology and dendroecology.
Author: Christian Zang [aut, cre, cph, trl], Franco Biondi [ctb, cph]
Maintainer: Christian Zang <christian.zang@wzw.tum.de>

Diff between treeclim versions 1.0.13 dated 2015-11-26 and 1.0.15 dated 2016-03-11

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New package spray with initial version 1.0
Package: spray
Type: Package
Title: Sparse Arrays and Multivariate Polynomials
Version: 1.0
Date: 2016-02-01
Author: Robin K. S. Hankin
Maintainer: Robin K. S. Hankin <hankin.robin@gmail.com>
Description: Sparse arrays interpreted as multivariate polynomials.
License: GPL (>= 2)
Depends: methods
Imports: Rcpp (>= 0.12.3),partitions,magic
LinkingTo: Rcpp
SystemRequirements: C++11
NeedsCompilation: yes
Packaged: 2016-03-10 20:15:09 UTC; rhankin
Repository: CRAN
Date/Publication: 2016-03-11 10:27:47

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Package RAppArmor updated to version 2.0.1 with previous version 2.0 dated 2016-03-09

Title: Bindings to AppArmor and Security Related Linux Tools
Description: Bindings to various methods in the kernel for enforcing security restrictions. AppArmor can apply mandatory access control (MAC) policies on a given task (process) via security profiles with detailed ACL definitions. In addition the package has kernel bindings for setting the process hardware resource limits (rlimit), uid, gid, affinity and priority. The high level R function 'eval.secure' builds on these methods to do dynamic sandboxing: it evaluates a single R expression within a temporary fork which acts as a sandbox by enforcing fine grained restrictions without affecting the main R process.
Author: Jeroen Ooms
Maintainer: Jeroen Ooms <jeroen.ooms@stat.ucla.edu>

Diff between RAppArmor versions 2.0 dated 2016-03-09 and 2.0.1 dated 2016-03-11

 DESCRIPTION     |    6 +++---
 MD5             |    8 ++++----
 NEWS            |    4 ++++
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New package OptimaRegion with initial version 0.1.0
Package: OptimaRegion
Type: Package
Title: Confidence Regions for Optima
Version: 0.1.0
Author: Enrique del Castillo, John Hunt, and James Rapkin
Maintainer: Enrique del Castillo <exd13@psu.edu>
Depends: R (>= 3.2.3)
Imports: fields,rsm,nloptr,DepthProc
Description: Computes confidence regions on the location of response surface optima.
License: GPL (>= 2)
LazyData: TRUE
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-03-11 00:09:41 UTC; Enrique
Repository: CRAN
Date/Publication: 2016-03-11 10:27:42

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Package MonoPhy updated to version 1.1 with previous version 1.0 dated 2015-10-19

Title: Allows to Explore Monophyly (or Lack of it) of Taxonomic Groups in a Phylogeny
Description: Requires rooted resolved phylogeny as input and creates a table of genera, their monophyly-status, which taxa cause problems in monophyly etc. Different information can be extracted from the output and a plot function allows visualization of the results in a number of ways.
Author: Orlando Schwery
Maintainer: Orlando Schwery <oschwery@vols.utk.edu>

Diff between MonoPhy versions 1.0 dated 2015-10-19 and 1.1 dated 2016-03-11

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Package graphTweets updated to version 0.3 with previous version 0.2 dated 2016-02-26

Title: Visualise Twitter Interactions
Description: Allows building an edge table from data frame of tweets, also provides function to build vertices (meta-data) and create a temporal graph.
Author: John Coene [aut, cre]
Maintainer: John Coene <jcoenep@gmail.com>

Diff between graphTweets versions 0.2 dated 2016-02-26 and 0.3 dated 2016-03-11

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Package DiversityOccupancy updated to version 1.0.1 with previous version 1.0.0 dated 2016-03-09

Title: Building Diversity Models from Multiple Species Occupancy Models
Description: Predictions of alpha diversity are fitted from presence data, first abundance is modeled from occupancy models and then, several diversity indices are calculated and finally GLM models are used to predict diversity in different environments and select priority areas.
Author: Derek Corcoran [aut, cre], Dylan Kesler [aut], Elisabeth Webb [aut], Nicole Michel [aut]
Maintainer: Derek Corcoran <derek.corcoran.barrios@gmail.com>

Diff between DiversityOccupancy versions 1.0.0 dated 2016-03-09 and 1.0.1 dated 2016-03-11

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Thu, 10 Mar 2016

Package tsintermittent updated to version 1.9 with previous version 1.8 dated 2015-09-24

Title: Intermittent Time Series Forecasting
Description: Functions for analysing and forecasting intermittent demand/slow moving items time series.
Author: Nikolaos Kourentzes and Fotios Petropoulos
Maintainer: Nikolaos Kourentzes <n.kourentzes@lancaster.ac.uk>

Diff between tsintermittent versions 1.8 dated 2015-09-24 and 1.9 dated 2016-03-10

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Package tablaxlsx updated to version 1.0.8 with previous version 1.0.6 dated 2016-02-23

Title: Write Formatted Tables in Excel Workbooks
Description: Some functions are included in this package for writing tables in Excel format suitable for distribution.
Author: Jesus Maria Rodriguez Rodriguez
Maintainer: Jesus Maria Rodriguez Rodriguez <jesusmro@ono.com>

Diff between tablaxlsx versions 1.0.6 dated 2016-02-23 and 1.0.8 dated 2016-03-10

 DESCRIPTION          |    8 ++++----
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Package sparsereg updated to version 1.2 with previous version 1.1 dated 2015-10-01

Title: Sparse Bayesian Models for Regression, Subgroup Analysis, and Panel Data
Description: Sparse modeling provides a mean selecting a small number of non-zero effects from a large possible number of candidate effects. This package includes a suite of methods for sparse modeling: estimation via EM or MCMC, approximate confidence intervals with nominal coverage, and diagnostic and summary plots. The method can implement sparse linear regression and sparse probit regression. Beyond regression analyses, applications include subgroup analysis, particularly for conjoint experiments, and panel data. Future versions will include extensions to models with truncated outcomes, propensity score, and instrumental variable analysis.
Author: Marc Ratkovic and Dustin Tingley
Maintainer: Marc Ratkovic <ratkovic@princeton.edu>

Diff between sparsereg versions 1.1 dated 2015-10-01 and 1.2 dated 2016-03-10

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 NAMESPACE                 |    3 
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Package sparr updated to version 0.3-8 with previous version 0.3-7 dated 2015-09-17

Title: SPAtial Relative Risk
Description: Provides functions to estimate kernel-smoothed relative risk functions and perform subsequent inference.
Author: T.M. Davies, M.L. Hazelton and J.C. Marshall
Maintainer: Tilman M. Davies <tdavies@maths.otago.ac.nz>

Diff between sparr versions 0.3-7 dated 2015-09-17 and 0.3-8 dated 2016-03-10

 DESCRIPTION          |    8 ++++----
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Package SASxport updated to version 1.5.3 with previous version 1.5.2 dated 2016-02-15

Title: Read and Write 'SAS' 'XPORT' Files
Description: Functions for reading, listing the contents of, and writing 'SAS' 'xport' format files. The functions support reading and writing of either individual data frames or sets of data frames. Further, a mechanism has been provided for customizing how variables of different data types are stored.
Author: Unless otherwise noted, the contents of this package were written by Gregory R. Warnes <greg@warnes.net> and are provided under the terms of the GNU General Public License, version 2.0 or later. -- The files 'src/ieee2ibm.c' and 'src/ibm2ieee.c' were extracted from BRL-CAD file /brlcad/src/libbu/htond.c written by Michael John Muuss, Copyright (c) 2004-2007 United States Government as represented by the U.S. Army Research Laboratory, and is utilized and redistributed under the terms of the GNU Lesser General Public License, version 2.1. -- The files 'R/AFirst.lib.s', 'R/all.is.numeric.R', 'R/importConvertDateTime.R', 'R/in.opererator.R', 'R/makeNames.R', 'R/read.xport.R', and 'R/testDateTime.R' are copied or adapted from the 'Hmisc' package created by Frank E. Harrell, Jr. <f.harrell@vanderbilt.edu>, and are utilized and redistributed under the terms of the GNU General Public License, version 2.0 or later. -- The files 'R/xport.R', 'src/SASxport.c', 'src/SASxport.h', and 'src/foreign.h' are copied or adapted from the 'R' 'foreign' package created by Douglas M. Bates <bates@stat.wisc.edu> and Saikat DebRoy <saikat@stat.wisc.edu>, and are utilized and redistributed under the terms of the GNU General Public License, version 2.0 or later. -- The creation of this package was partially funded by Metrum Institute <http://metruminstitute.org>.
Maintainer: Gabor Csardi <gcsardi@mango-solutions.com>

Diff between SASxport versions 1.5.2 dated 2016-02-15 and 1.5.3 dated 2016-03-10

 DESCRIPTION       |    6 +++---
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Package RVsharing updated to version 1.4.0 with previous version 1.3.4 dated 2015-05-11

Title: Probability of Sharing Rare Variants among Relatives
Description: Computes estimates of the probability of related individuals sharing a rare variant.
Author: Alexandre Bureau, Ingo Ruczinski, Samuel G. Younkin
Maintainer: Alexandre Bureau <alexandre.bureau@msp.ulaval.ca>

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Package rex updated to version 1.1.1 with previous version 1.0.1 dated 2015-04-27

Title: Friendly Regular Expressions
Description: A friendly interface for the construction of regular expressions.
Author: Kevin Ushey [aut], Jim Hester [aut, cre], Robert Krzyzanowski [aut]
Maintainer: Jim Hester <james.f.hester@gmail.com>

Diff between rex versions 1.0.1 dated 2015-04-27 and 1.1.1 dated 2016-03-10

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Package ngramrr updated to version 0.2.0 with previous version 0.1.1 dated 2015-04-06

Title: A Simple General Purpose N-Gram Tokenizer
Description: A simple n-gram (contiguous sequences of n items from a given sequence of text) tokenizer to be used with the 'tm' package with no 'rJava'/'RWeka' dependency.
Author: Chung-hong Chan <chainsawtiney@gmail.com>
Maintainer: Chung-hong Chan <chainsawtiney@gmail.com>

Diff between ngramrr versions 0.1.1 dated 2015-04-06 and 0.2.0 dated 2016-03-10

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Package InterVA4 updated to version 1.7.1 with previous version 1.7 dated 2016-03-03

Title: Replicate and Analyse InterVA4
Description: Provides an R version of the InterVA4 software for coding cause of death from verbal autopsies. It also provides simple graphical representation of individual and population level statistics.
Author: Zehang Li, Tyler McCormick, Sam Clark
Maintainer: Zehang Li <lizehang@uw.edu>

Diff between InterVA4 versions 1.7 dated 2016-03-03 and 1.7.1 dated 2016-03-10

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Package InSilicoVA updated to version 1.1 with previous version 1.0 dated 2015-12-04

Title: Probabilistic Verbal Autopsy Coding with InSilicoVA
Description: Computes individual causes of death and population cause-specific mortality fractions using the 'InSilicoVA' algorithm. It uses data derived from verbal autopsy (VA) interviews, in a format similar to the input of the widely used 'InterVA4' method. This package provides general model fitting and customization for 'InSilicoVA' algorithm and basic graphical visualization of the output.
Author: Zehang Li, Tyler McCormick, Sam Clark
Maintainer: Zehang Li <lizehang@uw.edu>

Diff between InSilicoVA versions 1.0 dated 2015-12-04 and 1.1 dated 2016-03-10

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New package hunspell with initial version 1.0
Package: hunspell
Type: Package
Title: Hunspell Spell Checker
Version: 1.0
Author: Jeroen Ooms
Maintainer: Jeroen Ooms <jeroen.ooms@stat.ucla.edu>
Description: A spell checker and morphological analyzer library designed for languages with rich morphology and complex word compounding or character encoding.
License: MIT + file LICENSE
URL: https://github.com/jeroenooms/hunspell
BugReports: https://github.com/jeroenooms/hunspell/issues
SystemRequirements: Hunspell library and headers
Imports: Rcpp (>= 0.12.0)
LinkingTo: Rcpp
RoxygenNote: 5.0.1
NeedsCompilation: yes
Packaged: 2016-03-10 21:39:48 UTC; jeroen
Repository: CRAN
Date/Publication: 2016-03-10 23:40:53

More information about hunspell at CRAN
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Package FedData updated to version 2.0.8 with previous version 2.0.7 dated 2016-03-02

Title: Functions to Automate Downloading Geospatial Data Available from Several Federated Data Sources
Description: Functions to automate downloading geospatial data available from several federated data sources (mainly sources maintained by the US Federal government). Currently, the package allows for retrieval of five datasets: The National Elevation Dataset digital elevation models (1 and 1/3 arc-second; USGS); The National Hydrography Dataset (USGS); The Soil Survey Geographic (SSURGO) database from the National Cooperative Soil Survey (NCSS), which is led by the Natural Resources Conservation Service (NRCS) under the USDA; the Global Historical Climatology Network (GHCN), coordinated by National Climatic Data Center at NOAA; and the International Tree Ring Data Bank. Additional data sources are in the works, including global DEM resources (ETOPO1, ETOPO5, ETOPO30, SRTM), global soils (HWSD), MODIS satellite data products, the National Atlas (US), Natural Earth, PRISM, and WorldClim.
Author: R. Kyle Bocinsky [aut, cre], Dylan Beaudette [ctb], Scott Chamberlain [ctb]
Maintainer: R. Kyle Bocinsky <bocinsky@gmail.com>

Diff between FedData versions 2.0.7 dated 2016-03-02 and 2.0.8 dated 2016-03-10

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Package excursions updated to version 2.1.1 with previous version 2.0.16 dated 2015-02-09

Title: Excursion Sets and Contour Credibility Regions for Random Fields
Description: Functions that compute probabilistic excursion sets, contour credibility regions, contour avoiding regions, and simultaneous confidence bands for latent gaussian random processes and fields. The package also contains functions that calculate these quantities for models estimated with the INLA package.
Author: David Bolin <davidbolin@gmail.com> and Finn Lindgren <finn.lindgren@gmail.com>
Maintainer: David Bolin <davidbolin@gmail.com>

Diff between excursions versions 2.0.16 dated 2015-02-09 and 2.1.1 dated 2016-03-10

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Package eurostat updated to version 1.2.21 with previous version 1.2.13 dated 2016-01-19

Title: Tools for Eurostat Open Data
Description: Tools to download data from the Eurostat database <http://ec.europa.eu/eurostat> together with search and manipulation utilities.
Author: Lahti Leo [aut, cre], Biecek Przemyslaw [aut], Kainu Markus [aut], Huovari Janne [aut]
Maintainer: Lahti Leo <louhos@googlegroups.com>

Diff between eurostat versions 1.2.13 dated 2016-01-19 and 1.2.21 dated 2016-03-10

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Package dynamicTreeCut updated to version 1.63-1 with previous version 1.62 dated 2014-04-22

Title: Methods for Detection of Clusters in Hierarchical Clustering Dendrograms
Description: Contains methods for detection of clusters in hierarchical clustering dendrograms.
Author: Peter Langfelder <Peter.Langfelder@gmail.com> and Bin Zhang <binzhang.ucla@gmail.com>, with contributions from Steve Horvath <SHorvath@mednet.ucla.edu>
Maintainer: Peter Langfelder <Peter.Langfelder@gmail.com>

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Package downscale updated to version 1.2-1 with previous version 0.1-0 dated 2015-10-14

Title: Downscaling Species Occupancy
Description: A set of functions that downscales species occupancy at coarse grain sizes to predict species occupancy at fine grain sizes.
Author: Charles Marsh [aut, cre]
Maintainer: Charles Marsh <charliem2003@gmail.com>

Diff between downscale versions 0.1-0 dated 2015-10-14 and 1.2-1 dated 2016-03-10

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Package checkmate updated to version 1.7.3 with previous version 1.7.2 dated 2016-02-25

Title: Fast and Versatile Argument Checks
Description: Tests and assertions to perform frequent argument checks. A substantial part of the package was written in C to minimize any worries about execution time overhead.
Author: Michel Lang <michellang@gmail.com>, Bernd Bischl <bernd_bischl@gmx.net>
Maintainer: Michel Lang <michellang@gmail.com>

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 man/qassertr.Rd                       |    8 -
 tests/testthat/test_checkDate.r       |only
 tests/testthat/test_checkFilesystem.r |    6 +
 tests/testthat/test_checkOS.r         |   20 ++++
 73 files changed, 462 insertions(+), 408 deletions(-)

More information about checkmate at CRAN
Permanent link

New package Dowd with initial version 0.12
Package: Dowd
Type: Package
Title: Functions Ported from 'MMR2' Toolbox Offered in Kevin Dowd's Book Measuring Market Risk
Version: 0.12
Date: 2015-08-20
Author: Dinesh Acharya <dines.acharya@gmail.com>
Maintainer: Dinesh Acharya <dines.acharya@gmail.com>
Description: 'Kevin Dowd's' book Measuring Market Risk is a widely read book in the area of risk measurement by students and practitioners alike. As he claims, 'MATLAB' indeed might have been the most suitable language when he originally wrote the functions, but, with growing popularity of R it is not entirely valid. As 'Dowd's' code was not intended to be error free and were mainly for reference, some functions in this package have inherited those errors. An attempt will be made in future releases to identify and correct them. 'Dowd's' original code can be downloaded from www.kevindowd.org/measuring-market-risk/. It should be noted that 'Dowd' offers both 'MMR2' and 'MMR1' toolboxes. Only 'MMR2' was ported to R. 'MMR2' is more recent version of 'MMR1' toolbox and they both have mostly similar function. The toolbox mainly contains different parametric and non parametric methods for measurement of market risk as well as backtesting risk measurement methods.
Depends: R (>= 3.0.0), bootstrap, MASS, forecast
Suggests: PerformanceAnalytics, testthat
License: GPL
NeedsCompilation: no
Packaged: 2016-03-10 10:14:28 UTC; dinesh
Repository: CRAN
Date/Publication: 2016-03-11 00:45:03

More information about Dowd at CRAN
Permanent link

Package CDM updated to version 4.8-0 with previous version 4.7-0 dated 2016-01-30

Title: Cognitive Diagnosis Modeling
Description: Functions for cognitive diagnosis modeling and multidimensional item response modeling for dichotomous and polytomous data. This package enables the estimation of the DINA and DINO model, the multiple group (polytomous) GDINA model, the multiple choice DINA model, the general diagnostic model (GDM), the multidimensional linear compensatory item response model and the structured latent class model (SLCA).
Author: Alexander Robitzsch [aut, cre], Thomas Kiefer [aut], Ann Cathrice George [aut], Ali Uenlue [aut]
Maintainer: Alexander Robitzsch <robitzsch@ipn.uni-kiel.de>

Diff between CDM versions 4.7-0 dated 2016-01-30 and 4.8-0 dated 2016-03-10

 DESCRIPTION                           |    8 +-
 MD5                                   |   96 +++++++++++++++++-----------------
 NAMESPACE                             |    3 +
 R/itemfit.sx2.R                       |    6 ++
 R/numerical_Hessian.R                 |only
 R/osink.R                             |only
 R/print.din.R                         |   10 ++-
 R/print.gdina.R                       |   10 ++-
 R/print.gdm.R                         |   12 ++--
 R/print.mcdina.R                      |   10 ++-
 R/print.slca.R                        |   10 ++-
 R/print.summary.din.R                 |    4 +
 R/summary.din.R                       |    8 +-
 R/summary.gdina.R                     |   13 +++-
 R/summary.gdm.R                       |    9 ++-
 R/summary.mcdina.R                    |    8 ++
 R/summary.slca.R                      |   10 ++-
 data/data.Students.rda                |binary
 data/data.cdm01.rda                   |binary
 data/data.cdm02.rda                   |binary
 data/data.dcm.rda                     |binary
 data/data.dtmr.rda                    |binary
 data/data.ecpe.rda                    |binary
 data/data.fraction1.rda               |binary
 data/data.fraction2.rda               |binary
 data/data.hr.rda                      |binary
 data/data.jang.rda                    |binary
 data/data.melab.rda                   |binary
 data/data.mg.rda                      |binary
 data/data.pgdina.rda                  |binary
 data/data.sda6.rda                    |binary
 data/data.timss03.G8.su.rda           |binary
 data/data.timss07.G4.lee.rda          |binary
 data/data.timss11.G4.AUT.part.rda     |binary
 data/data.timss11.G4.AUT.rda          |binary
 data/fraction.subtraction.data.rda    |binary
 data/fraction.subtraction.qmatrix.rda |binary
 data/sim.dina.rda                     |binary
 data/sim.dino.rda                     |binary
 data/sim.qmatrix.rda                  |binary
 inst/NEWS                             |   23 +++++++-
 man/CDM-package.Rd                    |   84 +++++++++++++++--------------
 man/din.Rd                            |    3 +
 man/din.deterministic.Rd              |    2 
 man/gdina.Rd                          |    6 +-
 man/gdm.Rd                            |    4 +
 man/mcdina.Rd                         |    6 +-
 man/numerical_Hessian.Rd              |only
 man/osink.Rd                          |only
 man/slca.Rd                           |    4 +
 man/summary.din.Rd                    |    5 +
 51 files changed, 225 insertions(+), 129 deletions(-)

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Package stpm updated to version 1.1.2 with previous version 1.0 dated 2016-02-08

Title: Stochastic Model for Analysis of Longitudinal Data
Description: Utilities to estimate parameters of stochastic process and modeling survival trajectories and time-to-event outcomes observed from longitudinal studies. Miscellaneous function for data preparation is also provided. For more information, see: "Stochastic model for analysis of longitudinal data on aging and mortality" by Yashin A. et al, 2007, Mathematical Biosciences, 208(2), 538-551 <DOI:10.1016/j.mbs.2006.11.006>.
Author: I. Y. Zhbannikov, I. V. Akushevich, K. G. Arbeev, A. I. Yashin.
Maintainer: Ilya Y. Zhbannikov <ilya.zhbannikov@duke.edu>

Diff between stpm versions 1.0 dated 2016-02-08 and 1.1.2 dated 2016-03-10

 DESCRIPTION                  |   10 +-
 MD5                          |   45 ++++-----
 NAMESPACE                    |    3 
 R/prepare_data.R             |    3 
 R/simdata_cont.R             |  109 ++++++++++++++++++++--
 R/simdata_discr.R            |   38 ++++---
 R/spm.R                      |  109 +++++++++++++---------
 R/spm_continuous.R           |  192 ++++++++++++++++++++++++--------------
 R/spm_discrete.R             |   30 +++---
 R/spm_projection.R           |only
 R/spm_time-dependent.R       |   20 ++--
 README.md                    |   21 ++--
 man/optimize.Rd              |    6 -
 man/simdata_cont.Rd          |    8 -
 man/simdata_cont2.Rd         |only
 man/simdata_discr.Rd         |    6 -
 man/spm.Rd                   |   27 ++++-
 man/spm_continuous.Rd        |   22 ++--
 man/spm_discrete.Rd          |    8 -
 man/spm_projection.Rd        |only
 man/spm_time_dep.Rd          |   10 +-
 src/simdataND.cpp            |    1 
 src/spm_integral_MD.cpp      |  201 +++++++++++++++++++++++++++++++++++++++-
 vignettes/stpm-vignette.Rmd  |   30 ++----
 vignettes/stpm-vignette.html |  212 ++++++++++++++++++++++---------------------
 25 files changed, 757 insertions(+), 354 deletions(-)

More information about stpm at CRAN
Permanent link

Package spatstat updated to version 1.45-0 with previous version 1.44-1 dated 2015-12-29

Title: Spatial Point Pattern Analysis, Model-Fitting, Simulation, Tests
Description: Comprehensive open-source toolbox for analysing spatial data, mainly Spatial Point Patterns, including multi-type/marked points and spatial covariates, in any two-dimensional spatial region. Also supports three-dimensional point patterns, space-time point patterns in any number of dimensions, and point patterns on a linear network. Contains over 2000 functions for plotting spatial data, exploratory data analysis, model-fitting, simulation, spatial sampling, model diagnostics, and formal inference. Data types include point patterns, line segment patterns, spatial windows, pixel images, tessellations, and linear networks. Exploratory methods include quadrat counts, K-functions and their simulation envelopes, nearest neighbour distance and empty space statistics, Fry plots, pair correlation function, kernel smoothed intensity, relative risk estimation with cross-validated bandwidth selection, mark correlation functions, segregation indices, mark dependence diagnostics, and kernel estimates of covariate effects. Formal hypothesis tests of random pattern (chi-squared, Kolmogorov-Smirnov, Diggle-Cressie-Loosmore-Ford, Dao-Genton) and tests for covariate effects (Cox-Berman-Waller-Lawson, Kolmogorov-Smirnov) are also supported. Parametric models can be fitted to point pattern data using the functions ppm(), kppm(), slrm(), dppm() similar to glm(). Types of models include Poisson, Gibbs and Cox point processes, Neyman-Scott cluster processes, and determinantal point processes. Models may involve dependence on covariates, inter-point interaction, cluster formation and dependence on marks. Models are fitted by maximum likelihood, logistic regression, minimum contrast, and composite likelihood methods. A model can be fitted to a list of point patterns (replicated point pattern data) using the function mppm(). The model can include random effects and fixed effects depending on the experimental design, in addition to all the features listed above. Fitted point process models can be simulated, automatically. Formal hypothesis tests of a fitted model are supported (likelihood ratio test, analysis of deviance, Monte Carlo tests) along with basic tools for model selection (stepwise(), AIC()). Tools for validating the fitted model include simulation envelopes, residuals, residual plots and Q-Q plots, leverage and influence diagnostics, partial residuals, and added variable plots.
Author: Adrian Baddeley <Adrian.Baddeley@curtin.edu.au>, Rolf Turner <r.turner@auckland.ac.nz> and Ege Rubak <rubak@math.aau.dk>, with substantial contributions of code by Kasper Klitgaard Berthelsen; Ute Hahn; Abdollah Jalilian; Marie-Colette van Lieshout; Tuomas Rajala; Dominic Schuhmacher; and Rasmus Waagepetersen. Additional contributions by M. Adepeju; Q.W. Ang; S. Azaele; M. Baddeley; C. Beale; M. Bell; R. Bernhardt; T. Bendtsen; A. Bevan; B. Biggerstaff; A. Bilgrau; L. Bischof; C. Biscio; R. Bivand; J.M. Blanco Moreno; F. Bonneu; J. Burgos; S. Byers; Y.M. Chang; J.B. Chen; I. Chernayavsky; Y.C. Chin; B. Christensen; J.-F. Coeurjolly; R. Corria Ainslie; M. de la Cruz; P. Dalgaard; M. D'Antuono; S. Das; P.J. Diggle; P. Donnelly; I. Dryden; S. Eglen; A. El-Gabbas; B. Fandohan; O. Flores; E.D. Ford; P. Forbes; S. Frank; J. Franklin; N. Funwi-Gabga; O. Garcia; A. Gault; J. Geldmann; M. Genton; S. Ghalandarayeshi; J. Gilbey; J. Goldstick; P. Grabarnik; C. Graf; U. Hahn; A. Hardegen; M.B. Hansen; M. Hazelton; J. Heikkinen; M. Hering; M. Herrmann; P. Hewson; K. Hingee; K. Hornik; P. Hunziker; J. Hywood; R. Ihaka; A. Jammalamadaka; R. John-Chandran; D. Johnson; M. Khanmohammadi; R. Klaver; P. Kovesi; M. Kuhn; J. Laake; F. Lavancier; T. Lawrence; R.A. Lamb; J. Lee; G.P. Leser; H.T. Li; G. Limitsios; A. Lister; B. Madin; M. Maechler; J. Marcus; K. Marchikanti; R. Mark; J. Mateu; P. McCullagh; U. Mehlig; S. Meyer; X.C. Mi; L. De Middeleer; R.K. Milne; E. Miranda; J. Moller; E. Mudrak; G.M. Nair; N. Nava; L.S. Nielsen; F. Nunes; J.R. Nyengaard; J. Oehlschlaegel; T. Onkelinx; S. O'Riordan; E. Parilov; J. Picka; N. Picard; M. Porter; S. Protsiv; A. Raftery; S. Rakshit; B. Ramage; P. Ramon; X. Raynaud, M. Reiter; I. Renner; T.O. Richardson; B.D. Ripley; E. Rosenbaum; B. Rowlingson; J. Rudokas; J. Rudge; C. Ryan; F. Safavimanesh; A. Sarkka; C. Schank; K. Schladitz; S. Schutte; B.T. Scott; O. Semboli; F. Semecurbe; V. Shcherbakov; G.C. Shen; P. Shi; H.-J. Ship; I.-M. Sintorn; Y. Song; M. Spiess; M. Stevenson; K. Stucki; M. Sumner; P. Surovy; B. Taylor; T. Thorarinsdottir; B. Turlach; T. Tvedebrink; K. Ummer; M. Uppala; A. van Burgel; T. Verbeke; M. Vihtakari; A. Villers; F. Vinatier; S. Voss; S. Wagner; H. Wang; H. Wendrock; J. Wild; C. Witthoft; S. Wong; M. Woringer; M.E. Zamboni and A. Zeileis.
Maintainer: Adrian Baddeley <Adrian.Baddeley@curtin.edu.au>

Diff between spatstat versions 1.44-1 dated 2015-12-29 and 1.45-0 dated 2016-03-10

 DESCRIPTION                |   16 
 MD5                        |  757 ++++++++++++++++++++++---------------------
 NAMESPACE                  |  106 +++++-
 NEWS                       |  337 +++++++++++++++++++
 R/Fest.R                   |   16 
 R/Hest.R                   |    5 
 R/Iest.R                   |    2 
 R/Jinhom.R                 |    4 
 R/Kest.R                   |   57 +--
 R/Tstat.R                  |    4 
 R/addvar.R                 |    4 
 R/allstats.R               |    6 
 R/alltypes.R               |    6 
 R/anova.mppm.R             |   28 +
 R/anova.ppm.R              |    6 
 R/areainter.R              |   16 
 R/as.im.R                  |    5 
 R/badgey.R                 |    6 
 R/bermantest.R             |   14 
 R/blur.R                   |    4 
 R/boundingbox.R            |    8 
 R/breakpts.R               |   29 +
 R/bw.optim.R               |   10 
 R/cdftest.R                |   16 
 R/clickppp.R               |   21 -
 R/close3Dpairs.R           |   74 +++-
 R/closepairs.R             |  197 +++++++++--
 R/clusterset.R             |    6 
 R/colourtables.R           |   14 
 R/compileK.R               |    4 
 R/concom.R                 |    6 
 R/density.lpp.R            |   16 
 R/density.ppp.R            |    6 
 R/detpointprocfamilyfun.R  |    1 
 R/diagnoseppm.R            |   26 +
 R/dist2dpath.R             |   19 -
 R/distcdf.R                |    4 
 R/distfunlpp.R             |    2 
 R/dppm.R                   |   37 +-
 R/dppmclass.R              |    2 
 R/dummify.R                |    4 
 R/edgeRipley.R             |    2 
 R/edgeTrans.R              |   40 +-
 R/effectfun.R              |    6 
 R/envelope.R               |   31 +
 R/envelope3.R              |    9 
 R/envelopelpp.R            |   14 
 R/eval.fasp.R              |    4 
 R/eval.fv.R                |   12 
 R/eval.im.R                |   12 
 R/evalcovar.R              |    4 
 R/ewcdf.R                  |    4 
 R/factors.R                |    2 
 R/fasp.R                   |    6 
 R/fii.R                    |    4 
 R/fiksel.R                 |    4 
 R/fitted.ppm.R             |   51 ++
 R/fryplot.R                |    4 
 R/funxy.R                  |   46 ++
 R/fv.R                     |   26 +
 R/geyer.R                  |   66 ++-
 R/hackglmm.R               |    6 
 R/hexagons.R               |    6 
 R/hierhard.R               |    4 
 R/hierpair.family.R        |    4 
 R/hierstrauss.R            |    4 
 R/hierstrhard.R            |    4 
 R/hybrid.R                 |    6 
 R/hybrid.family.R          |    6 
 R/hyperframe.R             |   18 -
 R/hypersub.R               |    8 
 R/idw.R                    |    3 
 R/images.R                 |   21 -
 R/indices.R                |only
 R/infline.R                |    4 
 R/interactions.R           |   42 +-
 R/ippm.R                   |    6 
 R/kppm.R                   |   40 +-
 R/laslett.R                |only
 R/layered.R                |   10 
 R/lennard.R                |    4 
 R/leverage.R               |  211 ++++++++----
 R/linalg.R                 |   28 +
 R/linfun.R                 |   31 +
 R/linim.R                  |   21 -
 R/linnet.R                 |  111 +++++-
 R/linnetsurgery.R          |only
 R/lintess.R                |only
 R/localpcf.R               |    4 
 R/logistic.R               |    2 
 R/lpp.R                    |  129 ++++---
 R/lppm.R                   |   46 +-
 R/lurking.R                |   11 
 R/markcorr.R               |   10 
 R/marks.R                  |   23 -
 R/measures.R               |   16 
 R/mincontrast.R            |   12 
 R/morisita.R               |    4 
 R/mpl.R                    |  184 ++++++----
 R/mppm.R                   |   51 ++
 R/multihard.R              |    4 
 R/multistrauss.R           |    2 
 R/multistrhard.R           |    4 
 R/nnclean.R                |    8 
 R/nndist.R                 |    6 
 R/nndistlpp.R              |   20 -
 R/nnmap.R                  |    4 
 R/objsurf.R                |   10 
 R/options.R                |    5 
 R/pairs.im.R               |   14 
 R/pairsat.family.R         |   17 
 R/pairwise.family.R        |    6 
 R/parres.R                 |    4 
 R/pcf.R                    |   80 +++-
 R/pcfinhom.R               |   35 +
 R/penttinen.R              |    4 
 R/persp.im.R               |    4 
 R/pixellate.R              |    6 
 R/plot.anylist.R           |   10 
 R/plot.fasp.R              |    4 
 R/plot.fv.R                |   16 
 R/plot.im.R                |   10 
 R/plot.mppm.R              |    8 
 R/plot.owin.R              |   24 -
 R/plot.plotppm.R           |    8 
 R/plot.ppp.R               |   28 -
 R/pool.R                   |    5 
 R/pp3.R                    |    4 
 R/ppm.R                    |   17 
 R/ppmclass.R               |   19 -
 R/ppp.R                    |    4 
 R/ppx.R                    |   20 -
 R/predict.ppm.R            |   57 ++-
 R/profilepl.R              |   42 +-
 R/progress.R               |    4 
 R/psp.R                    |   12 
 R/psp2pix.R                |    4 
 R/pspcross.R               |   24 +
 R/qqplotppm.R              |  419 ++++++++++++-----------
 R/quadclass.R              |   18 -
 R/quadratcount.R           |    8 
 R/quadrattest.R            |   16 
 R/quadscheme.R             |    6 
 R/quantess.R               |    4 
 R/random.R                 |    8 
 R/reduceformula.R          |    3 
 R/replace.ppp.R            |    2 
 R/resid4plot.R             |   10 
 R/residppm.R               |   29 -
 R/rho2hat.R                |   13 
 R/rhohat.R                 |    6 
 R/rmh.default.R            |    6 
 R/rmh.ppm.R                |    6 
 R/rmhcontrol.R             |    8 
 R/rmhexpand.R              |    4 
 R/rmhmodel.R               |    6 
 R/rmhmodel.ppm.R           |   15 
 R/rmhstart.R               |    6 
 R/rshift.R                 |    6 
 R/satpiece.R               |    4 
 R/scanstat.R               |    7 
 R/sigtrace.R               |    2 
 R/slrm.R                   |   24 -
 R/smooth.ppp.R             |   20 -
 R/smoothfun.R              |    4 
 R/softcore.R               |    4 
 R/sparse3Darray.R          |only
 R/sparsecommon.R           |only
 R/sparselinalg.R           |only
 R/split.ppx.R              |    4 
 R/strauss.R                |   13 
 R/strausshard.R            |    4 
 R/subfits.R                |  791 ++++++++++++++++++++++++---------------------
 R/subset.R                 |   18 -
 R/summary.mppm.R           |    4 
 R/summary.ppm.R            |    8 
 R/superimpose.R            |   46 +-
 R/symbolmap.R              |   60 ++-
 R/tess.R                   |   14 
 R/texture.R                |   27 -
 R/triplets.R               |    4 
 R/unique.ppp.R             |    2 
 R/unnormdensity.R          |   16 
 R/update.ppm.R             |   11 
 R/util.R                   |   89 ++---
 R/varblock.R               |   26 -
 R/vcov.mppm.R              |   49 ++
 R/vcov.ppm.R               |  100 +++--
 R/versions.R               |    7 
 R/window.R                 |   11 
 R/wingeom.R                |   42 +-
 R/xypolygon.R              |    4 
 R/zclustermodel.R          |    2 
 demo/spatstat.R            |    3 
 inst/CITATION              |   40 +-
 inst/doc/datasets.R        |  129 +++----
 inst/doc/datasets.Rnw      |    1 
 inst/doc/datasets.pdf      |binary
 inst/doc/getstart.pdf      |binary
 inst/doc/replicated.R      |  142 ++++----
 inst/doc/replicated.Rnw    |   18 -
 inst/doc/replicated.pdf    |binary
 inst/doc/shapefiles.pdf    |binary
 inst/doc/updates.R         |    8 
 inst/doc/updates.Rnw       |  293 +++++++++++++++-
 inst/doc/updates.pdf       |binary
 man/Emark.Rd               |    2 
 man/Extract.fasp.Rd        |   10 
 man/Extract.layered.Rd     |    5 
 man/Extract.linnet.Rd      |   35 +
 man/Extract.lpp.Rd         |   30 +
 man/Extract.msr.Rd         |    6 
 man/Extract.ppp.Rd         |   41 +-
 man/Extract.splitppp.Rd    |    2 
 man/Fest.Rd                |    2 
 man/Gcross.Rd              |    4 
 man/Gdot.Rd                |    2 
 man/Gest.Rd                |    2 
 man/Geyer.Rd               |   20 -
 man/Gmulti.Rd              |   17 
 man/Jcross.Rd              |   18 -
 man/Jdot.Rd                |   10 
 man/Jest.Rd                |    2 
 man/Jmulti.Rd              |   17 
 man/Kcross.Rd              |    2 
 man/Kcross.inhom.Rd        |   29 -
 man/Kdot.Rd                |   14 
 man/Kdot.inhom.Rd          |   21 -
 man/Kest.fft.Rd            |    3 
 man/Kinhom.Rd              |    7 
 man/Kmark.Rd               |    2 
 man/Kmulti.Rd              |   21 -
 man/Kmulti.inhom.Rd        |    6 
 man/Lcross.inhom.Rd        |   18 -
 man/Ldot.inhom.Rd          |   21 -
 man/Poisson.Rd             |   31 -
 man/Smooth.msr.Rd          |    6 
 man/anova.lppm.Rd          |    6 
 man/ants.Rd                |    2 
 man/applynbd.Rd            |   39 +-
 man/as.im.Rd               |    2 
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 man/as.lpp.Rd              |    5 
 man/bdist.points.Rd        |    2 
 man/clarkevans.Rd          |    2 
 man/closepairs.Rd          |   28 +
 man/closepairs.pp3.Rd      |   21 -
 man/coef.mppm.Rd           |   36 +-
 man/complement.owin.Rd     |    4 
 man/connected.linnet.Rd    |only
 man/connected.ppp.Rd       |    2 
 man/convexhull.Rd          |    2 
 man/crossing.psp.Rd        |   22 +
 man/cut.ppp.Rd             |   23 -
 man/deletebranch.Rd        |   24 -
 man/density.lpp.Rd         |    9 
 man/diagnose.ppm.Rd        |   12 
 man/dirichletWeights.Rd    |    2 
 man/discretise.Rd          |    8 
 man/distfun.Rd             |   24 -
 man/distfun.lpp.Rd         |   21 -
 man/divide.linnet.Rd       |only
 man/dppm.Rd                |   15 
 man/dummy.ppm.Rd           |    2 
 man/edge.Ripley.Rd         |    2 
 man/edge.Trans.Rd          |   14 
 man/eem.Rd                 |    2 
 man/envelope.Rd            |   24 +
 man/envelope.lpp.Rd        |    8 
 man/envelope.pp3.Rd        |    6 
 man/eval.linim.Rd          |   14 
 man/fitted.ppm.Rd          |    6 
 man/fixef.mppm.Rd          |   16 
 man/funxy.Rd               |   21 -
 man/harmonic.Rd            |   27 -
 man/harmonise.fv.Rd        |    2 
 man/humberside.Rd          |    2 
 man/idw.Rd                 |    9 
 man/im.Rd                  |   23 +
 man/influence.ppm.Rd       |    4 
 man/insertVertices.Rd      |only
 man/laslett.Rd             |only
 man/leverage.ppm.Rd        |    4 
 man/lineardisc.Rd          |   12 
 man/linim.Rd               |    5 
 man/linnet.Rd              |   17 
 man/lintess.Rd             |only
 man/lpp.Rd                 |   18 -
 man/lppm.Rd                |    5 
 man/markconnect.Rd         |    2 
 man/markcorr.Rd            |    4 
 man/marks.Rd               |   15 
 man/marks.psp.Rd           |   13 
 man/markstat.Rd            |   21 -
 man/methods.linfun.Rd      |    9 
 man/methods.linim.Rd       |   16 
 man/methods.linnet.Rd      |   44 +-
 man/methods.lpp.Rd         |    2 
 man/methods.lppm.Rd        |    2 
 man/methods.objsurf.Rd     |    3 
 man/mppm.Rd                |   52 ++
 man/nbfires.Rd             |  444 ++++++++++++-------------
 man/nncorr.Rd              |    2 
 man/nndist.lpp.Rd          |    2 
 man/nnwhich.lpp.Rd         |    2 
 man/nvertices.Rd           |only
 man/osteo.Rd               |    2 
 man/overlap.owin.Rd        |    2 
 man/owin.Rd                |    8 
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 src/PerfectPenttinen.h     |    4 
 src/bdrymask.c             |    4 
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 389 files changed, 6955 insertions(+), 3646 deletions(-)

More information about spatstat at CRAN
Permanent link

Package idm updated to version 1.3.1 with previous version 1.3 dated 2016-02-18

Title: Incremental Decomposition Methods
Description: Incremental Multiple Correspondence Analysis and Principal Component Analysis.
Author: Alfonso Iodice D' Enza [aut], Angelos Markos [aut, cre], Davide Buttarazzi [ctb]
Maintainer: Angelos Markos <amarkos@gmail.com>

Diff between idm versions 1.3 dated 2016-02-18 and 1.3.1 dated 2016-03-10

 idm-1.3.1/idm/DESCRIPTION       |    8 
 idm-1.3.1/idm/MD5               |   17 -
 idm-1.3.1/idm/NAMESPACE         |    2 
 idm-1.3.1/idm/R/i_pca.r         |  466 ++++++++++++++++++++--------------------
 idm-1.3.1/idm/R/update.i_pca.R  |    3 
 idm-1.3.1/idm/man/i_pca.Rd      |    2 
 idm-1.3.1/idm/man/idm.Rd        |   62 ++---
 idm-1.3.1/idm/man/plot.i_pca.Rd |    3 
 idm-1.3.1/idm/man/tweet.Rd      |   58 ++--
 idm-1.3/idm/man/transform_z.Rd  |only
 10 files changed, 311 insertions(+), 310 deletions(-)

More information about idm at CRAN
Permanent link

New package DCODE with initial version 1.0
Package: DCODE
Type: Package
Title: List Linear n-Peptide Constraints for Overlapping Protein Regions
Version: 1.0
Date: 2016-03-10
Author: Sophie Lebre
Maintainer: Sophie Lebre <sophie.lebre@umontpellier.fr>
Depends: R (>= 3.1.0), seqinr
Description: Traversal graph algorithm for listing linear n-peptide constraints for overlapping protein regions. (Lebre and Gascuel, The combinatorics of overlapping genes, freely available from arXiv at : http://arxiv.org/abs/1602.04971).
License: GPL (>= 2)
LazyLoad: yes
LazyData: no
NeedsCompilation: no
Packaged: 2016-03-10 09:55:21 UTC; sophie
Repository: CRAN
Date/Publication: 2016-03-10 17:55:18

More information about DCODE at CRAN
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Package backports updated to version 1.0.1 with previous version 1.0.0 dated 2016-02-19

Title: Reimplementations of Functions Introduced Since R-3.0.0
Description: Provides implementations of functions which have been introduced in R since version 3.0.0. The backports are conditionally exported which results in R resolving the function names to the version shipped with R (if available) and uses the implemented backports as fallback. This way package developers can make use of the new functions without worrying about the minimum required R version.
Author: Michel Lang <michellang@gmail.com>
Maintainer: Michel Lang <michellang@gmail.com>

Diff between backports versions 1.0.0 dated 2016-02-19 and 1.0.1 dated 2016-03-10

 DESCRIPTION                  |   10 +++++-----
 MD5                          |    9 ++++++---
 NAMESPACE                    |    3 +++
 NEWS.md                      |    8 ++++++--
 R/file.x.r                   |only
 man/file.size.Rd             |only
 tests/testthat/test_file.x.r |only
 7 files changed, 20 insertions(+), 10 deletions(-)

More information about backports at CRAN
Permanent link

New package ACA with initial version 1.0
Package: ACA
Type: Package
Title: Abrupt Change-Point or Aberration Detection in Point Series
Version: 1.0
Date: 2016-03-08
Author: Daniel Amorese
Maintainer: Daniel Amorese <amorese@ipgp.fr>
Depends: R (>= 3.2.2)
Imports: graphics, grDevices, stats, utils
Description: Offers an interactive function for the detection of breakpoints in series.
License: GPL
LazyLoad: yes
NeedsCompilation: no
Packaged: 2016-03-10 07:32:56 UTC; daniel
Repository: CRAN
Date/Publication: 2016-03-10 17:55:15

More information about ACA at CRAN
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Package rEDM updated to version 0.4.7 with previous version 0.4.5 dated 2016-03-07

Title: Applications of Empirical Dynamic Modeling from Time Series
Description: Contains C++ compiled objects that use time delay embedding to perform state-space reconstruction and nonlinear forecasting and an R interface to those objects using 'Rcpp'. It supports both the simplex projection method from Sugihara & May (1990) <DOI:10.1038/344734a0> and the S-map algorithm in Sugihara (1994) <DOI:10.1098/rsta.1994.0106>. In addition, this package implements convergent cross mapping as described by Sugihara et al. (2012) <DOI:10.1126/science.1227079>.
Author: Hao Ye, Adam Clark, Ethan Deyle
Maintainer: Hao Ye <hye@ucsd.edu>

Diff between rEDM versions 0.4.5 dated 2016-03-07 and 0.4.7 dated 2016-03-10

 DESCRIPTION                 |    8 ++++----
 MD5                         |   19 ++++++++++---------
 inst/doc/rEDM_tutorial.html |   14 +++++++-------
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 src/block_lnlp.cpp          |    7 +++++--
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 11 files changed, 38 insertions(+), 27 deletions(-)

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Package spatialEco updated to version 0.1-4 with previous version 0.1-3 dated 2015-10-29

Title: Spatial Analysis and Modelling
Description: Utilities to support spatial data manipulation, query, sampling and modelling. Functions include models for species population density, download utilities for climate and global deforestation spatial products, spatial smoothing, multivariate separability, point process model for creating pseudo- absences and sub-sampling, polygon and point-distance landscape metrics, auto-logistic model, sampling models, cluster optimization and statistical exploratory tools.
Author: Jeffrey S. Evans [aut, cre], Karthik Ram [ctb]
Maintainer: Jeffrey S. Evans <jeffrey_evans@tnc.org>

Diff between spatialEco versions 0.1-3 dated 2015-10-29 and 0.1-4 dated 2016-03-10

 DESCRIPTION                |   10 +--
 MD5                        |  141 +++++++++++++++++++++++++--------------------
 NAMESPACE                  |   12 +++
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 82 files changed, 408 insertions(+), 615 deletions(-)

More information about spatialEco at CRAN
Permanent link

Package PowerTOST updated to version 1.3-4 with previous version 1.3-3 dated 2016-01-15

Title: Power and Sample Size Based on Two One-Sided t-Tests (TOST) for (Bio)Equivalence Studies
Description: Contains functions to calculate power and sample size for various study designs used for bioequivalence studies. See function known.designs() for study designs covered. Moreover the package contains functions for power and sample size based on 'expected' power in case of uncertain (estimated) variability. ----- Added are functions for the power and sample size for the ratio of two means with normally distributed data on the original scale (based on Fieller's confidence ('fiducial') interval). ----- Contains further functions for power and sample size calculations based on non-inferiority t-test. This is not a TOST procedure but eventually useful if the question of 'non-superiority' must be evaluated. The power and sample size calculations based on non-inferiority test may also performed via 'expected' power in case of uncertain (estimated) variability. ----- Contains functions power.scABEL() and sampleN.scABEL() to calculate power and sample size for the BE decision via scaled (widened) BE acceptance limits (EMA recommended) based on simulations. Contains also functions scABEL.ad() and sampleN.scABEL.ad() to iteratively adjust alpha in order to maintain the consumer risk in ABEL studies and adapt the sample size for the loss in power. Contains further functions power.RSABE() and sampleN.RSABE() to calculate power and sample size for the BE decision via reference scaled ABE criterion according to the FDA procedure based on simulations. Contains further functions power.NTIDFDA() and sampleN.NTIDFDA() to calculate power and sample size for the BE decision via the FDA procedure for NTID's based on simulations. Contains further functions power.HVNTID() and sampleN.HVNTID() to calculate power and sample size for the BE decision via the FDA procedure for highly variable NTID's (see FDA Dabigatran / rivaroxaban guidances) ----- Contains functions for power analysis of a sample size plan for ABE (pa.ABE()), scaled ABE (pa.scABE()) and scaled ABE for NTID's (pa.NTIDFDA()) analysing power if deviating from assumptions of the plan. ----- Contains further functions for power calculations / sample size estimation for dose proportionality studies using the Power model.
Author: Detlew Labes [aut, cre], Helmut Schuetz [aut], Benjamin Lang [aut]
Maintainer: Detlew Labes <DetlewLabes@gmx.de>

Diff between PowerTOST versions 1.3-3 dated 2016-01-15 and 1.3-4 dated 2016-03-10

 PowerTOST-1.3-3/PowerTOST/R/power_scABEL2.R         |only
 PowerTOST-1.3-4/PowerTOST/DESCRIPTION               |    8 +--
 PowerTOST-1.3-4/PowerTOST/MD5                       |   50 ++++++++++----------
 PowerTOST-1.3-4/PowerTOST/NEWS                      |    7 ++
 PowerTOST-1.3-4/PowerTOST/R/SampleSize_HVNTID.R     |   10 ++--
 PowerTOST-1.3-4/PowerTOST/R/exppower.R              |    3 -
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 PowerTOST-1.3-4/PowerTOST/R/power_TOST_sim.R        |    5 +-
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 PowerTOST-1.3-4/PowerTOST/R/power_scABEL_lo.R       |only
 PowerTOST-1.3-4/PowerTOST/R/power_scABEL_pure.R     |    6 ++
 PowerTOST-1.3-4/PowerTOST/R/sampleN.scABEL.ad.R     |   25 +++++-----
 PowerTOST-1.3-4/PowerTOST/R/samplesize_RSABE.R      |   10 ++--
 PowerTOST-1.3-4/PowerTOST/R/samplesize_RSABE_NTID.R |   11 ++--
 PowerTOST-1.3-4/PowerTOST/R/samplesize_scABEL.R     |   14 ++---
 PowerTOST-1.3-4/PowerTOST/R/scABEL.ad.R             |    5 +-
 PowerTOST-1.3-4/PowerTOST/man/power.HVNTID.Rd       |    2 
 PowerTOST-1.3-4/PowerTOST/man/power.NTIDFDA.Rd      |    4 +
 PowerTOST-1.3-4/PowerTOST/man/sampleN.HVNTID.Rd     |   17 ++++--
 PowerTOST-1.3-4/PowerTOST/man/sampleN.NTIDFDA.Rd    |   13 ++++-
 PowerTOST-1.3-4/PowerTOST/man/sampleN.RSABE.Rd      |   10 +++-
 PowerTOST-1.3-4/PowerTOST/man/sampleN.scABEL.Rd     |   13 +++--
 PowerTOST-1.3-4/PowerTOST/man/sampleN.scABEL.ad.Rd  |    5 +-
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 28 files changed, 162 insertions(+), 97 deletions(-)

More information about PowerTOST at CRAN
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Package nnlasso updated to version 0.3 with previous version 0.2 dated 2015-04-10

Title: Non-Negative Lasso and Elastic Net Penalized Generalized Linear Models
Description: Estimates of coefficients of lasso penalized linear regression and generalized linear models subject to non-negativity constraints on the parameters using multiplicative iterative algorithm. Entire regularization path for a sequence of lambda values can be obtained. Functions are available for creating plots of regularization path, cross validation and estimating coefficients at a given lambda value. There is also provision for obtaining standard error of coefficient estimates.
Author: Baidya Nath Mandal <mandal.stat@gmail.com> and Jun Ma <jun.ma@mq.edu.au>
Maintainer: Baidya Nath Mandal <mandal.stat@gmail.com>

Diff between nnlasso versions 0.2 dated 2015-04-10 and 0.3 dated 2016-03-10

 DESCRIPTION                    |   14 +++++------
 MD5                            |   46 ++++++++++++++++++-------------------
 NAMESPACE                      |    2 +
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 man/bars.Rd                    |    2 -
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 man/plot.nnlasso.Rd            |    5 +++-
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 24 files changed, 115 insertions(+), 84 deletions(-)

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Package lsmeans updated to version 2.23 with previous version 2.22-1 dated 2016-02-07

Title: Least-Squares Means
Description: Obtain least-squares means for many linear, generalized linear, and mixed models. Compute contrasts or linear functions of least-squares means, and comparisons of slopes. Plots and compact letter displays.
Author: Russell Lenth [aut, cre]
Maintainer: Russell Lenth <russell-lenth@uiowa.edu>

Diff between lsmeans versions 2.22-1 dated 2016-02-07 and 2.23 dated 2016-03-10

 DESCRIPTION                 |   16 -
 MD5                         |   49 +++--
 NAMESPACE                   |   28 ++-
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 vignettes/using-lsmeans.rnw |  361 ++++++++++++++++++++++++++++++--------------
 27 files changed, 1024 insertions(+), 501 deletions(-)

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Package etma updated to version 1.0-8 with previous version 1.0-6 dated 2015-10-01

Title: Epistasis Test in Meta-Analysis
Description: Traditional meta-regression based method has been developed for using meta-analysis data, but it faced the challenge of inconsistent estimates. This package purpose a new statistical method to detect epistasis using incomplete information summary, and have proven it not only successfully let consistency of evidence, but also increase the power compared with traditional method (Detailed tutorial is shown in website <http://rpubs.com/chinlin/ETMA>).
Author: Chin Lin
Maintainer: Chin Lin <xup6fup@gmail.com>

Diff between etma versions 1.0-6 dated 2015-10-01 and 1.0-8 dated 2016-03-10

 DESCRIPTION         |   18 ++++++++++--------
 MD5                 |   13 +++++++++----
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 8 files changed, 23 insertions(+), 14 deletions(-)

More information about etma at CRAN
Permanent link

Package DoE.base updated to version 0.28 with previous version 0.27-1 dated 2015-08-21

Title: Full Factorials, Orthogonal Arrays and Base Utilities for DoE Packages
Description: Package DoE.base creates full factorial experimental designs and designs based on orthogonal arrays for (industrial) experiments. Additionally, it provides utility functions for the class design, which is also used by other packages for designed experiments.
Author: Ulrike Groemping [aut, cre], Boyko Amarov [ctb], Hongquan Xu [ctb]
Maintainer: Ulrike Groemping <groemping@beuth-hochschule.de>

Diff between DoE.base versions 0.27-1 dated 2015-08-21 and 0.28 dated 2016-03-10

 DESCRIPTION              |    8 -
 MD5                      |   26 +++--
 NAMESPACE                |   11 +-
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 15 files changed, 324 insertions(+), 109 deletions(-)

More information about DoE.base at CRAN
Permanent link

Wed, 09 Mar 2016

Package svgPanZoom updated to version 0.3.2 with previous version 0.3.0 dated 2015-09-11

Title: R 'Htmlwidget' to Add Pan and Zoom to Almost any R Graphic
Description: This 'htmlwidget' provides pan and zoom interactivity to R graphics, including 'base', 'lattice', and 'ggplot2'. The interactivity is provided through the 'svg-pan-zoom.js' library. Various options to the widget can tailor the pan and zoom experience to nearly any user desire.
Author: Anders Riutta et. al. [aut, cph] (svg-pan-zoom.js BSD-licensed library in htmlwidgets/lib, https://github.com/ariutta/svg-pan-zoom), Jorik Tangelder [aut, cph] (hammer.js MIT-licensed touch library in htmlwidgets/lib, https://github.com/hammerjs/hammer), Kent Russell [aut, cre] (R interface to svg-pan-zoom.js)
Maintainer: Kent Russell <kent.russell@timelyportfolio.com>

Diff between svgPanZoom versions 0.3.0 dated 2015-09-11 and 0.3.2 dated 2016-03-09

 DESCRIPTION                                                |   19 ++---
 LICENSE                                                    |    2 
 MD5                                                        |   19 ++---
 NAMESPACE                                                  |    2 
 NEWS.md                                                    |   11 +++
 R/svgPanZoom.R                                             |   29 +++++---
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Permanent link

Package sommer updated to version 1.3 with previous version 1.2 dated 2016-02-07

Title: Solving Mixed Model Equations in R
Description: Mixed model equation solver allowing the specification of variance covariance structures of random effects and residual structures. ML/REML estimates are obtained using the Average Information and/or Expectation-Maximization algorithms. Designed for genomic prediction and genome wide association studies (GWAS) to include additive, dominant and epistatic relationship structures.
Author: Giovanny Covarrubias-Pazaran
Maintainer: Giovanny Covarrubias-Pazaran <covarrubiasp@wisc.edu>

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Package rnrfa updated to version 0.5.1 with previous version 0.4.3 dated 2016-02-25

Title: UK National River Flow Archive Data from R
Description: Utility functions to retrieve data from the UK National River Flow Archive. The package contains R wrappers to the UK NRFA data temporary-API. There are functions to retrieve stations falling in a bounding box, to generate a map and extracting time series and general information.
Author: Claudia Vitolo [aut, cre], Matthew Fry [ctb]
Maintainer: Claudia Vitolo <cvitolodev@gmail.com>

Diff between rnrfa versions 0.4.3 dated 2016-02-25 and 0.5.1 dated 2016-03-09

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Package rARPACK updated to version 0.11-0 with previous version 0.10-0 dated 2016-01-18

Title: Solvers for Large Scale Eigenvalue and SVD Problems
Description: Previously an R wrapper of the 'ARPACK' library <http://www.caam.rice.edu/software/ARPACK/>, and now a shell of the R package 'RSpectra', an R interface to the 'Spectra' library <http://yixuan.cos.name/spectra/> for solving large scale eigenvalue/vector problems. The current version of 'rARPACK' simply imports and exports the functions provided by 'RSpectra'. New users of 'rARPACK' are advised to switch to the 'RSpectra' package.
Author: Yixuan Qiu, Jiali Mei and authors of the ARPACK library. See file AUTHORS for details.
Maintainer: Yixuan Qiu <yixuan.qiu@cos.name>

Diff between rARPACK versions 0.10-0 dated 2016-01-18 and 0.11-0 dated 2016-03-09

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New package osd with initial version 0.1
Package: osd
Type: Package
Title: Orthogonal Signal Deconvolution for Spectra Deconvolution in GC-MS and GCxGC-MS Data
Version: 0.1
Date: 2016-3-01
Author: Xavier Domingo-Almenara
Imports: JADE, nnls
Maintainer: Xavier Domingo-Almenara <xavier.domingo@urv.cat>
Description: Compound deconvolution for chromatographic data, including gas chromatography - mass spectrometry (GC-MS) and comprehensive gas chromatography - mass spectrometry (GCxGC-MS). The package includes functions to perform independent component analysis - orthogonal signal deconvolution (ICA-OSD), independent component regression (ICR), multivariate curve resolution (MCR-ALS) and orthogonal signal deconvolution (OSD) alone.
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2016-03-09 18:02:37 UTC; xavidomingoalmenara
Repository: CRAN
Date/Publication: 2016-03-10 00:10:22

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Package GLMMRR updated to version 0.1.2 with previous version 0.1.1 dated 2016-03-09

Title: Generalized Linear Mixed Model (GLMM) for Binary Randomized Response Data
Description: Generalized Linear Mixed Model (GLMM) for Binary Randomized Response Data. Includes Cauchit, Log-Log, Logistic, and Probit link functions for Bernoulli distributed RR data.
Author: Jean-Paul Fox [aut], Konrad Klotzke [aut], Duco Veen [aut]
Maintainer: Konrad Klotzke <omd.bms.utwente.stats@gmail.com>

Diff between GLMMRR versions 0.1.1 dated 2016-03-09 and 0.1.2 dated 2016-03-09

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Package gets updated to version 0.6 with previous version 0.5 dated 2016-02-28

Title: General-to-Specific (GETS) Modelling and Indicator Saturation Methods
Description: Automated General-to-Specific (GETS) modelling of the mean and variance of a regression, and indicator saturation methods for detecting and testing for structural breaks in the mean.
Author: Genaro Sucarrat [aut, cre], Felix Pretis [aut], James Reade [aut]
Maintainer: Genaro Sucarrat <genaro.sucarrat@bi.no>

Diff between gets versions 0.5 dated 2016-02-28 and 0.6 dated 2016-03-09

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New package GeNetIt with initial version 0.1-0
Package: GeNetIt
Type: Package
Title: Spatial Graph-Theoretic Genetic Gravity Modelling
Version: 0.1-0
Date: 2016-03-09
Authors@R: c(person(family="Evans", given="Jeffrey S.", email = "jeffrey_evans@tnc.org", role = c("aut", "cre")), person(family="Murphy", given="Melanie", role = "aut") )
Description: Implementation of spatial graph-theoretic genetic gravity models. The model framework is applicable for other types of spatial flow questions. Includes functions for constructing spatial graphs, sampling and summarizing associated raster variables and building unconstrained and singly constrained gravity models.
Depends: R (>= 3.1.0)
Imports: nlme, sp, spdep, spatialEco, raster, rgeos
Maintainer: Jeffrey S. Evans <jeffrey_evans@tnc.org>
License: GPL-3
NeedsCompilation: no
Repository: CRAN
LazyData: true
RoxygenNote: 5.0.1
Packaged: 2016-03-09 23:01:54 UTC; jevans
Author: Jeffrey S. Evans [aut, cre], Melanie Murphy [aut]
Date/Publication: 2016-03-10 00:27:49

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Package fuzzyforest updated to version 1.0.1 with previous version 1.0.0 dated 2016-02-18

Title: Fuzzy Forests
Description: Fuzzy forests, a new algorithm based on random forests, is designed to reduce the bias seen in random forest feature selection caused by the presence of correlated features. Fuzzy forests uses recursive feature elimination random forests to select features from separate blocks of correlated features where the correlation within each block of features is high and the correlation between blocks of features is low. One final random forest is fit using the surviving features. This package fits random forests using the 'randomForest' package and allows for easy use of 'WGCNA' to split features into distinct blocks.
Author: Daniel Conn [aut, cre], Tuck Ngun [aut], Christina M. Ramirez [aut]
Maintainer: Daniel Conn <djconn17@gmail.com>

Diff between fuzzyforest versions 1.0.0 dated 2016-02-18 and 1.0.1 dated 2016-03-09

 DESCRIPTION   |    6 +++---
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Package ROCt updated to version 0.9.4 with previous version 0.8 dated 2013-12-20

Title: Time-Dependent ROC Curve Estimators and Expected Utility Functions
Description: Contains functions in order to estimate diagnostic and prognostic capacities of continuous markers. More precisely, one function concerns the estimation of time-dependent ROC (ROCt) curve, as proposed by Heagerty et al. (2000) <DOI: 10.1111/j.0006-341X.2000.00337.x>. One function concerns the adaptation of the ROCt theory for studying the capacity of a marker to predict the excess of mortality of a specific population compared to the general population. This last part is based on additive relative survival models and the work of Pohar-Perme et al. (2012) <DOI: 10.1111/j.1541-0420.2011.01640.x>. We also propose two functions for cut-off estimation in medical decision making by maximizing time-dependent expected utility function. Finally, we propose confounder-adjusted estimators of ROC and ROCt curves by using the Inverse Probability Weighting (IPW) approach. For the confounder-adjusted ROC curve (without censoring), we also proposed the implementation of the estimator based on placement values proposed by Pepe and Cai (2004) <DOI: 10.1111/j.0006-341X.2004.00200.x>.
Author: Y. Foucher, E. Dantan, P. Tessier, F. Le Borgne, and M. Lorent
Maintainer: Y. Foucher <Yohann.Foucher@univ-nantes.fr>

Diff between ROCt versions 0.8 dated 2013-12-20 and 0.9.4 dated 2016-03-09

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Package EpiModel updated to version 1.2.5 with previous version 1.2.4 dated 2016-02-01

Title: Mathematical Modeling of Infectious Disease
Description: Tools for simulating mathematical models of infectious disease. Epidemic model classes include deterministic compartmental models, stochastic agent-based, and stochastic network models. Network models use robust statistical methods of exponential-family random graph models (ERGMs) from the Statnet suite of software packages in R. Standard templates for epidemic modeling include SI, SIR, and SIS disease types. EpiModel features an easy API for extending these templates to address novel scientific research aims.
Author: Samuel Jenness [cre, aut], Steven M. Goodreau [aut], Martina Morris [aut], Emily Beylerian [ctb], Li Wang [ctb], Skye Bender-deMoll [ctb]
Maintainer: Samuel Jenness <samuel.m.jenness@emory.edu>

Diff between EpiModel versions 1.2.4 dated 2016-02-01 and 1.2.5 dated 2016-03-09

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New package glmmsr with initial version 0.1.0
Package: glmmsr
Title: Fit a Generalized Linear Mixed Model
Version: 0.1.0
Authors@R: person("Helen", "Ogden", , "heogden12@gmail.com", role = c("aut", "cre"))
Description: Conduct inference about generalized linear mixed models, with a choice about which method to use to approximate the likelihood. In addition to the Laplace and adaptive Gaussian quadrature approximations, which are borrowed from 'lme4', the likelihood may be approximated by the sequential reduction approximation, or an importance sampling approximation. These methods provide an accurate approximation to the likelihood in some situations where it is not possible to use adaptive Gaussian quadrature.
Depends: R (>= 3.1.2)
LinkingTo: Rcpp, RcppEigen, BH
Imports: lme4 (>= 1.1-8), Matrix, R6, Rcpp, methods, stats, utils
URL: http://github.com/heogden/glmmsr
BugReports: http://github.com/heogden/glmmsr/issues
License: GPL (>= 2)
LazyData: true
Suggests: BradleyTerry2, hglm.data, knitr, rmarkdown, testthat
VignetteBuilder: knitr
RoxygenNote: 5.0.1
NeedsCompilation: yes
Packaged: 2016-03-07 11:16:05 UTC; helen
Author: Helen Ogden [aut, cre]
Maintainer: Helen Ogden <heogden12@gmail.com>
Repository: CRAN
Date/Publication: 2016-03-09 19:23:08

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Package PGRdup updated to version 0.2.2.1 with previous version 0.2.2 dated 2016-03-05

Title: Discover Probable Duplicates in Plant Genetic Resources Collections
Description: Provides functions to aid the identification of probable/possible duplicates in Plant Genetic Resources (PGR) collections using 'passport databases' comprising of information records of each constituent sample. These include methods for cleaning the data, creation of a searchable Key Word in Context (KWIC) index of keywords associated with sample records and the identification of nearly identical records with similar information by fuzzy, phonetic and semantic matching of keywords.
Author: J. Aravind [aut, cre], J. Radhamani [aut], Kalyani Srinivasan [aut], B. Ananda Subhash [aut], R. K. Tyagi [aut]
Maintainer: J. Aravind <j.aravind@icar.gov.in>

Diff between PGRdup versions 0.2.2 dated 2016-03-05 and 0.2.2.1 dated 2016-03-09

 DESCRIPTION             |    6 +++---
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Package NIPTeR updated to version 1.0.2 with previous version 1.0.1 dated 2016-01-02

Title: Fast and Accurate Trisomy Prediction in Non-Invasive Prenatal Testing
Description: Fast and Accurate Trisomy Prediction in Non-Invasive Prenatal Testing.
Author: Dirk de Weerd, Lennart Johansson
Maintainer: Lennart Johansson <l.johansson@umcg.nl>

Diff between NIPTeR versions 1.0.1 dated 2016-01-02 and 1.0.2 dated 2016-03-09

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Package growthcurver updated to version 0.2.0 with previous version 0.1.0 dated 2015-11-03

Title: Simple Metrics to Summarize Growth Curves
Description: This is a simple package that fits the logistic equation to microbial growth curve data (e.g., repeated absorbance measurements taken from a plate reader over time). From this fit, a variety of metrics are provided, including the maximum growth rate, the doubling time, the carrying capacity, the area under the logistic curve, and the time to the inflection point.
Author: Kathleen sprouffske [aut, cre]
Maintainer: Kathleen sprouffske <sprouffske@gmail.com>

Diff between growthcurver versions 0.1.0 dated 2015-11-03 and 0.2.0 dated 2016-03-09

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Package emojifont updated to version 0.3.2 with previous version 0.3.1 dated 2016-02-26

Title: Emoji Fonts for using in R
Description: An implementation of using emoji font in both base and 'ggplot2' graphics.
Author: Guangchuang Yu [aut, cre]
Maintainer: Guangchuang Yu <guangchuangyu@gmail.com>

Diff between emojifont versions 0.3.1 dated 2016-02-26 and 0.3.2 dated 2016-03-09

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Package BBEST updated to version 0.1-6 with previous version 0.1-5 dated 2015-09-15

Title: Bayesian Estimation of Incoherent Neutron Scattering Backgrounds
Description: We implemented a Bayesian-statistics approach for subtraction of incoherent scattering from neutron total-scattering data. In this approach, the estimated background signal associated with incoherent scattering maximizes the posterior probability, which combines the likelihood of this signal in reciprocal and real spaces with the prior that favors smooth lines.
Author: Anton Gagin and Igor Levin with contributions from Charles R. Hogg III
Maintainer: Anton Gagin <av.gagin@gmail.com>

Diff between BBEST versions 0.1-5 dated 2015-09-15 and 0.1-6 dated 2016-03-09

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Package vardpoor updated to version 0.5.6 with previous version 0.5.4 dated 2016-01-16

Title: Variance Estimation for Sample Surveys by the Ultimate Cluster Method
Description: Generation of domain variables, linearisation of several nonlinear population statistics (the ratio of two totals, weighted income percentile, relative median income ratio, at-risk-of-poverty rate, at-risk-of-poverty threshold, Gini coefficient, gender pay gap, the aggregate replacement ratio, the relative median income ratio, median income below at-risk-of-poverty gap, income quintile share ratio, relative median at-risk-of-poverty gap), computation of regression residuals in case of weight calibration, variance estimation of sample surveys by the ultimate cluster method (Hansen, Hurwitz and Madow, 1953), variance estimation for longitudinal, cross-sectional measures and measures of change for single and multistage stage cluster sampling designs (Berger, Y.G.). Several other precision measures are derived - standard error, the coefficient of variation, the margin of error, confidence interval, design effect.
Author: Juris Breidaks [aut, cre], Martins Liberts [aut], Santa Ivanova [aut]
Maintainer: Juris Breidaks <Juris.Breidaks@csb.gov.lv>

Diff between vardpoor versions 0.5.4 dated 2016-01-16 and 0.5.6 dated 2016-03-09

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Package shrink updated to version 1.2.1 with previous version 1.2.0 dated 2014-10-02

Title: Global, Parameterwise and Joint Shrinkage Factor Estimation
Description: The predictive value of a statistical model can often be improved by applying shrinkage methods. This can be achieved, e.g., by regularized regression or empirical Bayes approaches. Various types of shrinkage factors can also be estimated after a maximum likelihood. While global shrinkage modifies all regression coefficients by the same factor, parameterwise shrinkage factors differ between regression coefficients. With variables which are either highly correlated or associated with regard to contents, such as several columns of a design matrix describing a nonlinear effect, parameterwise shrinkage factors are not interpretable and a compromise between global and parameterwise shrinkage, termed 'joint shrinkage', is a useful extension. A computational shortcut to resampling-based shrinkage factor estimation based on DFBETA residuals can be applied. Global, parameterwise and joint shrinkage for models fitted by lm(), glm(), coxph(), or mfp() is available.
Author: Daniela Dunkler [aut, cre], Georg Heinze [aut]
Maintainer: Daniela Dunkler <daniela.dunkler@meduniwien.ac.at>

Diff between shrink versions 1.2.0 dated 2014-10-02 and 1.2.1 dated 2016-03-09

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Package msm updated to version 1.6.1 with previous version 1.6 dated 2015-11-18

Title: Multi-State Markov and Hidden Markov Models in Continuous Time
Description: Functions for fitting continuous-time Markov and hidden Markov multi-state models to longitudinal data. Designed for processes observed at arbitrary times in continuous time (panel data) but some other observation schemes are supported. Both Markov transition rates and the hidden Markov output process can be modelled in terms of covariates, which may be constant or piecewise-constant in time.
Author: Christopher Jackson <chris.jackson@mrc-bsu.cam.ac.uk>
Maintainer: Christopher Jackson <chris.jackson@mrc-bsu.cam.ac.uk>

Diff between msm versions 1.6 dated 2015-11-18 and 1.6.1 dated 2016-03-09

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New package ggThemeAssist with initial version 0.1.0
Package: ggThemeAssist
Type: Package
Title: Add-in to Customize 'ggplot2' Themes
Version: 0.1.0
Author: Calli Gross [aut, cre], Philipp Ottolinger [aut, ctb]
Maintainer: Calli Gross <ggthemeassist@icloud.com>
Description: Rstudio add-in that delivers a graphical interface for editing 'ggplot2' theme elements.
License: GPL-3
URL: https://github.com/calligross/ggthemeassist
LazyData: TRUE
Imports: shiny (>= 0.13), miniUI (>= 0.1.1), rstudioapi (>= 0.5), ggplot2, formatR
RoxygenNote: 5.0.1
Depends: R (>= 3.0.0)
NeedsCompilation: no
Packaged: 2016-03-09 08:42:19 UTC; Gross_M
Repository: CRAN
Date/Publication: 2016-03-09 15:20:53

More information about ggThemeAssist at CRAN
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Package fdaPDE updated to version 0.1-2 with previous version 0.1-1 dated 2016-01-15

Title: Functional Data Analysis and Partial Differential Equations; Statistical Analysis of Functional and Spatial Data, Based on Regression with Partial Differential Regularizations
Description: An implementation of regression models with partial differential regularizations, making use of the Finite Element Method. The models efficiently handle data distributed over irregularly shaped domains and can comply with various conditions at the boundaries of the domain. A priori information about the spatial structure of the phenomenon under study can be incorporated in the model via the differential regularization.
Author: Eardi Lila [aut, cre], Laura M. Sangalli [aut], Jim Ramsay [aut], Luca Formaggia [aut]
Maintainer: Eardi Lila <el425@cam.ac.uk>

Diff between fdaPDE versions 0.1-1 dated 2016-01-15 and 0.1-2 dated 2016-03-09

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Package FamEvent updated to version 1.1 with previous version 1.0 dated 2016-02-09

Title: Simulation of Time-to-Event Family Data and Penetrance Estimation
Description: Generates time-to-event family data associated with mutated genes arising from various family study designs such as population-based, clinic- based, or multi-stage designs and provides functions to fit family data accounting for the study design and estimate age-dependent penetrance functions. It also provides carrier probabilities for those with missing genotypes and penetrance estimations are based on an Expectation-Maximization algorithm when genotypes are missing.
Author: Yun-Hee Choi, Karen Kopciuk, Wenqing He, Laurent Briollais
Maintainer: Yun-Hee Choi <yun-hee.choi@schulich.uwo.ca>

Diff between FamEvent versions 1.0 dated 2016-02-09 and 1.1 dated 2016-03-09

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Package DVHmetrics updated to version 0.3.5 with previous version 0.3.4 dated 2015-11-27

Title: Analyze Dose-Volume Histograms and Check Constraints
Description: Functionality for analyzing dose-volume histograms (DVH) in radiation oncology: Read DVH text files, calculate DVH metrics as well as generalized equivalent uniform dose (gEUD), biologically effective dose (BED), equivalent dose in 2 Gy fractions (EQD2), normal tissue complication probability (NTCP), and tumor control probability (TCP). Show DVH diagrams, check and visualize quality assurance constraints for the DVH. Includes web-based graphical user interface.
Author: Daniel Wollschlaeger [aut, cre], Heiko Karle [aut], Heinz Schmidberger [ctb]
Maintainer: Daniel Wollschlaeger <wollschlaeger@uni-mainz.de>

Diff between DVHmetrics versions 0.3.4 dated 2015-11-27 and 0.3.5 dated 2016-03-09

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Package cOde updated to version 0.2.1 with previous version 0.2 dated 2015-06-10

Title: Automated C Code Generation for Use with the 'deSolve' and 'bvpSolve' Packages
Description: Generates all necessary C functions allowing the user to work with the compiled-code interface of ode() and bvptwp(). The implementation supports "forcings" and "events". Also provides functions to symbolically compute Jacobians, sensitivity equations and adjoint sensitivities being the basis for sensitivity analysis.
Author: Daniel Kaschek
Maintainer: Daniel Kaschek <daniel.kaschek@physik.uni-freiburg.de>

Diff between cOde versions 0.2 dated 2015-06-10 and 0.2.1 dated 2016-03-09

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Package basicspace updated to version 0.17 with previous version 0.15 dated 2014-11-19

Title: Recovering a Basic Space from Issue Scales
Description: Conducts Aldrich-McKelvey and Blackbox Scaling to Recover Latent Dimensions of Judgment.
Author: Keith Poole <ktpoole@uga.edu>, Howard Rosenthal <hr31@nyu.edu>, Jeffrey Lewis <jblewis@ucla.edu>, James Lo <jameslo@princeton.edu> and Royce Carroll <rcarroll@rice.edu>
Maintainer: James Lo <jameslo@princeton.edu>

Diff between basicspace versions 0.15 dated 2014-11-19 and 0.17 dated 2016-03-09

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Package SemiCompRisks updated to version 2.4 with previous version 2.3 dated 2015-12-04

Title: Hierarchical Models for Parametric and Semi-Parametric Analyses of Semi-Competing Risks Data
Description: Parametric and semi-parametric analyses of semi-competing risks/univariate survival data.
Author: Kyu Ha Lee and Sebastien Haneuse
Maintainer: Kyu Ha Lee <klee@hsph.harvard.edu>

Diff between SemiCompRisks versions 2.3 dated 2015-12-04 and 2.4 dated 2016-03-09

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Package readODS updated to version 1.6.2 with previous version 1.4 dated 2014-07-07

Title: Read ODS Files
Description: Read ODS (OpenDocument Spreadsheet) and puts them into data frames.
Author: Gerrit-Jan Schutten, Chung-hong Chan
Maintainer: Chung-hong Chan <chainsawtiney@gmail.com>

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New package regsel with initial version 0.2
Package: regsel
Type: Package
Title: Variable Selection and Regression
Version: 0.2
Date: 2016-02-24
Author: Michal Knut
Maintainer: Michal Knut <1105406k@student.gla.ac.uk>
Description: Functions for fitting linear and generalized linear models with variable selection. The functions can automatically do Stepwise Regression, Lasso or Elastic Net as variable selection methods. Lasso and Elastic net are improved and handle factors better (they can either include or exclude all factor levels).
License: GPL-2
LazyData: TRUE
RoxygenNote: 5.0.1
Depends: glmnet, elasticnet
NeedsCompilation: no
Packaged: 2016-03-07 13:27:49 UTC; knutm
Repository: CRAN
Date/Publication: 2016-03-09 09:13:48

More information about regsel at CRAN
Permanent link

Package R.devices updated to version 2.14.0 with previous version 2.13.2 dated 2015-12-16

Title: Unified Handling of Graphics Devices
Description: Functions for creating plots and image files in a unified way regardless of output format (EPS, PDF, PNG, SVG, TIFF, WMF, etc.). Default device options as well as scales and aspect ratios are controlled in a uniform way across all device types. Switching output format requires minimal changes in code. This package is ideal for large-scale batch processing, because it will never leave open graphics devices or incomplete image files behind, even on errors or user interrupts.
Author: Henrik Bengtsson [aut, cre, cph]
Maintainer: Henrik Bengtsson <henrikb@braju.com>

Diff between R.devices versions 2.13.2 dated 2015-12-16 and 2.14.0 dated 2016-03-09

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Permanent link

Package RAppArmor updated to version 2.0 with previous version 1.0.1 dated 2013-12-18

Title: Bindings to AppArmor and Security Related Linux Tools
Description: Bindings to various methods in the kernel for enforcing security restrictions. AppArmor can apply mandatory access control (MAC) policies on a given task (process) via security profiles with detailed ACL definitions. In addition the package has kernel bindings for setting the process hardware resource limits (rlimit), uid, gid, affinity and priority. The high level R function 'eval.secure' builds on these methods to do dynamic sandboxing: it evaluates a single R expression within a temporary fork which acts as a sandbox by enforcing fine grained restrictions without affecting the main R process.
Author: Jeroen Ooms
Maintainer: Jeroen Ooms <jeroen.ooms@stat.ucla.edu>

Diff between RAppArmor versions 1.0.1 dated 2013-12-18 and 2.0 dated 2016-03-09

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New package GLMMRR with initial version 0.1.1
Package: GLMMRR
Type: Package
Title: GLM for Binary Randomized Response Data
Version: 0.1.1
Date: 2016-03-09
Author: Jean-Paul Fox [aut], Konrad Klotzke [aut], Duco Veen [aut]
Maintainer: Konrad Klotzke <omd.bms.utwente.stats@gmail.com>
Depends: lme4, methods
Imports: stats
Description: GLM for Binary Randomized Response Data. Includes Cauchit, Log-log, Logistic, and Probit link functions for Bernoulli distributed RR data.
License: GPL-2 | GPL-3
LazyData: TRUE
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-03-09 07:36:25 UTC; Konrad
Repository: CRAN
Date/Publication: 2016-03-09 09:13:36

More information about GLMMRR at CRAN
Permanent link

New package DiversityOccupancy with initial version 1.0.0
Package: DiversityOccupancy
Type: Package
Title: Building Diversity Models from Multiple Species Occupancy Models
Version: 1.0.0
Date: 2016-03-08
Authors@R: person("Derek", "Corcoran", email = "derek.corcoran.barrios@gmail.com", role = c("aut", "cre"))
Description: Predictions of alpha diversity are fitted from presence data, first abundance is modeled from occupancy models and then, several diversity indices are calculated and finally GLM models are used to predict diversity in different environments and select priority areas.
Depends: R (>= 3.2.2), MuMIn, unmarked
Imports: dplyr, ggplot2, glmulti, raster, qpcR, vegan
Suggests: knitr, rmarkdown,
License: GPL-3
LazyData: TRUE
RoxygenNote: 5.0.1
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2016-03-09 02:10:00 UTC; derek
Author: Derek Corcoran [aut, cre]
Maintainer: Derek Corcoran <derek.corcoran.barrios@gmail.com>
Repository: CRAN
Date/Publication: 2016-03-09 09:13:33

More information about DiversityOccupancy at CRAN
Permanent link

Package clere updated to version 1.1.3 with previous version 1.1.2 dated 2015-10-08

Title: Simultaneous Variables Clustering and Regression
Description: Implements an empirical Bayes approach for simultaneous variable clustering and regression. This version also (re)implements in C++ an R script proposed by Howard Bondell that fits the Pairwise Absolute Clustering and Sparsity (PACS) methodology (see Sharma et al (2013) <DOI:10.1080/15533174.2012.707849>).
Author: Loic Yengo, Mickael Canouil
Maintainer: Loic Yengo <loic.yengo@gmail.com>

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Package bfp updated to version 0.0-30 with previous version 0.0-27 dated 2013-12-10

Title: Bayesian Fractional Polynomials
Description: Implements the Bayesian paradigm for fractional polynomial models under the assumption of normally distributed error terms.
Author: Daniel Sabanes Bove <sabanesd@roche.com>
Maintainer: Daniel Sabanes Bove <sabanesd@roche.com>

Diff between bfp versions 0.0-27 dated 2013-12-10 and 0.0-30 dated 2016-03-09

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Tue, 08 Mar 2016

Package taxize updated to version 0.7.4 with previous version 0.7.0 dated 2015-11-30

Title: Taxonomic Information from Around the Web
Description: Interacts with a suite of web 'APIs' for taxonomic tasks, such as verifying species names, and getting taxonomic 'hierarchies'.
Author: Scott Chamberlain [aut, cre], Eduard Szoecs [aut], Zachary Foster [aut], Carl Boettiger [aut], Karthik Ram [aut], Ignasi Bartomeus [aut], John Baumgartner [aut], James O'Donnell [aut]
Maintainer: Scott Chamberlain <myrmecocystus@gmail.com>

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Package revealjs updated to version 0.6 with previous version 0.5.0 dated 2016-01-31

Title: R Markdown Format for 'reveal.js' Presentations
Description: R Markdown format for 'reveal.js' presentations, a framework for easily creating beautiful presentations using HTML.
Author: Hakim El Hattab [aut, cph] (reveal.js-3.2.0, https://github.com/hakimel/reveal.js), JJ Allaire [aut, cre], RStudio [cph]
Maintainer: JJ Allaire <jj@rstudio.com>

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Package psbcGroup updated to version 1.3 with previous version 1.2 dated 2015-09-17

Title: Penalized Parametric and Semiparametric Bayesian Survival Models with Shrinkage and Grouping Priors
Description: Algorithms for fitting penalized parametric and semiparametric Bayesian survival models with shrinkage and grouping priors.
Author: Kyu Ha Lee, Sounak Chakraborty, (Tony) Jianguo Sun
Maintainer: Kyu Ha Lee <klee@hsph.harvard.edu>

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Package pavo updated to version 0.5-5 with previous version 0.5-4 dated 2016-01-27

Title: Perceptual Analysis, Visualization and Organization of Spectral Color Data in R
Description: A cohesive framework for parsing, analyzing and organizing color from spectral data.
Author: Rafael Maia [aut, cre], Chad Eliason [aut], Pierre-Paul Bitton [aut]
Maintainer: Rafael Maia <rm72@zips.uakron.edu>

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Package opencpu updated to version 1.5.4 with previous version 1.5.1 dated 2015-09-25

Title: A System for Embedded Scientific Computing and Reproducible Research with R
Description: The OpenCPU system exposes an HTTP API for embedded scientific computing with R. This provides scalable foundations for integrating R based analysis and visualization modules into pipelines, web applications or big data infrastructures. The OpenCPU server can run either as a single-user development server within the interactive R session, or as a high performance multi-user cloud server that builds on Linux, Nginx and rApache. The current R package forms the core of the system. When loaded in R, it automatically initiates the single-user server and displays the web address in the console. Visit the OpenCPU website for detailed information and documentation on the API.
Author: Jeroen Ooms
Maintainer: Jeroen Ooms <jeroen.ooms@stat.ucla.edu>

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New package mtconnectR with initial version 0.2.0
Package: mtconnectR
Type: Package
Title: Read Data from Delimited MTConnect Data Files
Version: 0.2.0
Date: 2016-03-09
Authors@R: c( person("Alex", "Joseph", email = "alex@systeminsights.com", role = c("aut", "cre")), person("Sainath", "Adapa", email = "sainath@systeminsights.com", role = c("aut")), person("Nitin", "Madasu", email = "nitin@systeminsights.com", role = c("aut")) )
Maintainer: Alex Joseph <alex@systeminsights.com>
Description: Read data in the 'MTConnect'<http://www.mtconnect.org/> standard. You can use the package to read data from historical 'MTConnect logs' along with the 'devices.xml' describing the device. The data is organised into a 'MTConnectDevice' S4 data structure and some convenience methods are also provided for basic read/view operations.
Depends: R (>= 3.0.0)
Imports: methods, data.table (>= 1.9.6), XML (>= 3.98), stringr (>= 1.0), plyr (>= 1.8.3), dplyr (>= 0.4.3)
License: AGPL-3
LazyData: TRUE
Collate: common.R MTCDataItem.R merge.R MTCCycle.R MTCDevice.R deviceXML.R dataExtraction_mtc.R dataExtraction_gcode.R zzz.R
RoxygenNote: 5.0.1
Suggests: knitr, rmarkdown, testthat, roxygen2
BuildVignettes: yes
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2016-03-09 00:31:10 UTC; alexsanjoseph
Author: Alex Joseph [aut, cre], Sainath Adapa [aut], Nitin Madasu [aut]
Repository: CRAN
Date/Publication: 2016-03-09 01:36:05

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Package digitalPCR updated to version 1.1.0 with previous version 1.0 dated 2014-12-31

Title: Estimate Copy Number for Digital PCR
Description: The assay sensitivity is the minimum number of copies that the digital PCR assay can detect. Users provide serial dilution results in the format of counts of positive and total reaction wells. The output is the estimated assay sensitivity and the copy number per well in the initial dilute.
Author: Xutao Deng
Maintainer: Xutao Deng <xutaodeng@gmail.com>

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Package datacheckr updated to version 0.1.1 with previous version 0.1.0 dated 2016-01-26

Title: Data Checking
Description: Checks column names, column classes, values, keys, joins, vectors and scalars. If the user-defined conditions are met the function returns an invisible copy of the data frame, vector or scalar. Otherwise the function throws an informative error.
Author: Joe Thorley [aut, cre]
Maintainer: Joe Thorley <joe@poissonconsulting.ca>

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Package carx updated to version 0.6.2 with previous version 0.6.1 dated 2016-01-19

Title: Censored Autoregressive Model with Exogenous Covariates
Description: A censored time series class is designed. An estimation procedure is implemented to estimate the Censored AutoRegressive time series with eXogenous covariates (CARX), assuming normality of the innovations. Some other functions that might be useful are also included.
Author: Chao Wang [aut, cre], Kung-Sik Chan [aut]
Maintainer: Chao Wang <chao-wang@uiowa.edu>

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Package carcass updated to version 1.6 with previous version 1.5 dated 2015-11-29

Title: Estimation of the Number of Fatalities from Carcass Searches
Description: The number of bird or bat fatalities from collisions with buildings, towers or wind energy turbines can be estimated based on carcass searches and experimentally assessed carcass persistence times and searcher efficiency. Functions for estimating the probability that a bird or bat that died is found by a searcher are provided. Further functions calculate the posterior distribution of the number of fatalities based on the number of carcasses found and the estimated detection probability.
Author: Fraenzi Korner-Nievergelt, Ivo Niermann, Oliver Behr, Matthew A. Etterson, Robert Brinkmann, Pius Korner, Barbara Hellriegel, Tobias Roth, Manuela M. P. Huso, Dan Dalthorp
Maintainer: Fraenzi Korner-Nievergelt <fraenzi.korner@oikostat.ch>

Diff between carcass versions 1.5 dated 2015-11-29 and 1.6 dated 2016-03-08

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Package actuar updated to version 1.2-0 with previous version 1.1-10 dated 2015-07-22

Title: Actuarial Functions and Heavy Tailed Distributions
Description: Various actuarial science functionalities, mostly in the fields of loss distributions, risk theory (including ruin theory), simulation of compound hierarchical models and credibility theory. The package also features 17 probability laws commonly used in insurance, mostly heavy tailed distributions.
Author: Vincent Goulet, Sébastien Auclair, Christophe Dutang, Xavier Milhaud, Tommy Ouellet, Louis-Philippe Pouliot, Mathieu Pigeon
Maintainer: Vincent Goulet <vincent.goulet@act.ulaval.ca>

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Package rglobi updated to version 0.2.9 with previous version 0.2.8 dated 2015-05-13

Title: R Interface to Global Biotic Interactions
Description: A programmatic interface to the web service methods provided by Global Biotic Interactions (GloBI). GloBI provides access to spatial-temporal species interaction records from sources all over the world. rglobi provides methods to search species interactions by location, interaction type, and taxonomic name. In addition, it supports Cypher, a graph query language, to allow for executing custom queries on the GloBI aggregate species interaction data set.
Author: Jorrit Poelen [aut, cre], Stephen Gosnell [aut], Sergey Slyusarev [aut]
Maintainer: Jorrit Poelen <jhpoelen@xs4all.nl>

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New package rbokeh with initial version 0.4.2
Package: rbokeh
Title: R Interface for Bokeh
Version: 0.4.2
Authors@R: c( person("Ryan", "Hafen", email = "rhafen@gmail.com", role = c("aut", "cre")), person("Kenton", "Russell", email = "kent.russell@timelyportfolio.com", role = "ctb"), person("Jonathan", "Owen", email = "jonathanro@gmail.com", role = "ctb"), person("Barret", "Schloerkep", email = "schloerke@gmail.com", role = "ctb"), person("Saptasrhi", "Guha", email = "saptarshi.guha@gmail.com", role = "ctb"), person("Continuum Analytics, Inc.", role = c("aut", "cph"), comment = "Bokeh library in htmlwidgets/lib, http://bokeh.pydata.org" ))
Description: R interface for creating plots in Bokeh. Bokeh by Continuum Analytics, \url{http://bokeh.pydata.org/en/latest/}.
URL: https://hafen.github.io/rbokeh
BugReports: https://github.com/hafen/rbokeh/issues
License: MIT + file LICENSE
LazyData: true
NeedsCompilation: no
Imports: htmlwidgets (>= 0.5), maps, methods, jsonlite, digest, hexbin, lazyeval, pryr, magrittr, ggplot2, scales, gistr
Suggests: testthat, data.table, lattice, roxygen2 (>= 5.0.0)
Enhances: shiny (>= 0.12)
RoxygenNote: 5.0.1
Packaged: 2016-03-04 18:40:24 UTC; hafen
Author: Ryan Hafen [aut, cre], Kenton Russell [ctb], Jonathan Owen [ctb], Barret Schloerkep [ctb], Saptasrhi Guha [ctb], Continuum Analytics, Inc. [aut, cph] (Bokeh library in htmlwidgets/lib, http://bokeh.pydata.org)
Maintainer: Ryan Hafen <rhafen@gmail.com>
Repository: CRAN
Date/Publication: 2016-03-09 01:06:25

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Package mnormt updated to version 1.5-4 with previous version 1.5-3 dated 2015-05-25

Title: The Multivariate Normal and t Distributions
Description: Functions are provided for computing the density and the distribution function of multivariate normal and "t" random variables, and for generating random vectors sampled from these distributions. Probabilities are computed via non-Monte Carlo methods; different routines are used in the case d=1, d=2, d>2, if d denotes the number of dimensions.
Author: Fortran code by Alan Genz, R code by Adelchi Azzalini
Maintainer: Adelchi Azzalini <adelchi.azzalini@unipd.it>

Diff between mnormt versions 1.5-3 dated 2015-05-25 and 1.5-4 dated 2016-03-08

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Package glcm updated to version 1.6.1 with previous version 1.4 dated 2015-11-21

Title: Calculate Textures from Grey-Level Co-Occurrence Matrices (GLCMs)
Description: Enables calculation of image textures derived from grey-level co-occurrence matrices (GLCMs). Supports processing images that cannot fit in memory.
Author: Alex Zvoleff [aut, cre]
Maintainer: Alex Zvoleff <azvoleff@conservation.org>

Diff between glcm versions 1.4 dated 2015-11-21 and 1.6.1 dated 2016-03-08

 DESCRIPTION  |    8 ++++----
 MD5          |   11 ++++++-----
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 README.md    |    7 +++----
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Package FCNN4R updated to version 0.6.2 with previous version 0.6.1 dated 2016-03-07

Title: Fast Compressed Neural Networks for R
Description: Provides an interface to kernel routines from the FCNN C++ library. FCNN is based on a completely new Artificial Neural Network representation that offers unmatched efficiency, modularity, and extensibility. FCNN4R provides standard teaching (backpropagation, Rprop, simulated annealing, stochastic gradient) and pruning algorithms (minimum magnitude, Optimal Brain Surgeon), but it is first and foremost an efficient computational engine. Users can easily implement their algorithms by taking advantage of fast gradient computing routines, as well as network reconstruction functionality (removing weights and redundant neurons, reordering inputs, merging networks). Networks can be exported to C functions in order to integrate them into virtually any software solution.
Author: Grzegorz Klima <gklima@users.sourceforge.net>
Maintainer: Grzegorz Klima <gklima@users.sourceforge.net>

Diff between FCNN4R versions 0.6.1 dated 2016-03-07 and 0.6.2 dated 2016-03-08

 DESCRIPTION          |    9 ++++-----
 MD5                  |    4 ++--
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 3 files changed, 11 insertions(+), 13 deletions(-)

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Package dygraphs updated to version 0.8 with previous version 0.7 dated 2016-02-02

Title: Interface to 'Dygraphs' Interactive Time Series Charting Library
Description: An R interface to the 'dygraphs' JavaScript charting library (a copy of which is included in the package). Provides rich facilities for charting time-series data in R, including highly configurable series- and axis-display and interactive features like zoom/pan and series/point highlighting.
Author: Dan Vanderkam [aut, cph] (dygraphs library in htmlwidgets/lib, http://dygraphs.com/), JJ Allaire [aut, cre] (R interface), RStudio [cph], Jonathan Owen [aut, cph], Daniel Gromer [aut, cph], Petr Shevtsov [aut, cph], Benoit Thieurmel [aut, cph], jQuery Foundation [cph] (jQuery library), jQuery contributors [ctb, cph] (jQuery library; authors listed in inst/htmlwidgets/lib/jquery/AUTHORS.txt)
Maintainer: JJ Allaire <jj@rstudio.com>

Diff between dygraphs versions 0.7 dated 2016-02-02 and 0.8 dated 2016-03-08

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New package DTRreg with initial version 1.0
Package: DTRreg
Type: Package
Title: DTR Estimation and Inference via G-Estimation, Dynamic WOLS, and Q-Learning
Version: 1.0
Date: 2016-02-17
Author: Michael Wallace, Erica E M Moodie and David A Stephens
Maintainer: Michael Wallace <michael.wallace@mcgill.ca>
Description: Dynamic treatment regime estimation and inference via G-estimation, dynamic weighted ordinary least squares (dWOLS) and Q-learning. Inference via bootstrap and (for G-estimation) recursive sandwich estimation.
License: GPL-2
Imports: graphics, stats, utils
RoxygenNote: 5.0.1
Packaged: 2016-03-08 17:46:12 UTC; arthus
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2016-03-09 00:52:30

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New package dCovTS with initial version 1.0
Package: dCovTS
Type: Package
Title: Distance Covariance and Correlation for Time Series Analysis
Version: 1.0
Date: 2016-03-08
Authors@R: c( person("Maria", "Pitsillou", role=c("aut", "cre"), email="pitsillou.maria@ucy.ac.cy"), person("Konstantinos", "Fokianos", role=c("aut"), email="fokianos@ucy.ac.cy"))
Description: Computing and plotting the distance covariance and correlation function of a univariate or a multivariate time series. Test statistics for testing pairwise independence are also implemented. Some data sets are also included.
Depends: R (>= 3.1.0), doParallel (>= 1.0.8), energy (>= 1.5.0)
Imports: foreach
Suggests: MASS
License: GPL (>= 2)
LazyData: true
Encoding: UTF-8
NeedsCompilation: no
Author: Maria Pitsillou [aut, cre], Konstantinos Fokianos [aut]
Maintainer: Maria Pitsillou <pitsillou.maria@ucy.ac.cy>
Repository: CRAN
Packaged: 2016-03-08 15:31:52 UTC; User
Date/Publication: 2016-03-09 00:51:06

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Package Blossom updated to version 1.4 with previous version 1.3 dated 2015-10-14

Title: Statistical Comparisons with Distance-Function Based Permutation Tests
Description: Provides tools for making statistical comparisons with distance-function based permutation tests developed by P. W. Mielke, Jr. and colleagues at Colorado State University (Mielke, P. W. & Berry, K. J. Permutation Methods: A Distance Function Approach (Springer, New York, 2001)) and for testing parameters estimated in linear models with permutation procedures developed by B. S. Cade and colleagues at the Fort Collins Science Center, U. S. Geological Survey.
Author: Marian Talbert, Jon Richards, Paul Mielke, and Brian Cade
Maintainer: Marian Talbert <mtalbert@usgs.gov>

Diff between Blossom versions 1.3 dated 2015-10-14 and 1.4 dated 2016-03-08

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Package multiplex updated to version 1.8.2 with previous version 1.8.1 dated 2016-03-04

Title: Algebraic Tools for the Analysis of Multiple Social Networks
Description: Algebraic procedures for the analysis of multiple social networks are delivered with this package. Among other things, it is possible to create and manipulate multivariate network data with different formats, and there are effective ways available to treat multiple networks with routines that combine algebraic systems like the partially ordered semigroup or the semiring structure together with the relational bundles occurring in different types of multivariate network data sets. As well an algebraic approach for two-mode networks is made through Galois derivations between families of the pair of subsets.
Author: Antonio Rivero Ostoic [aut, cre]
Maintainer: Antonio Rivero Ostoic <multiplex@post.com>

Diff between multiplex versions 1.8.1 dated 2016-03-04 and 1.8.2 dated 2016-03-08

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New package MHTrajectoryR with initial version 1.0
Package: MHTrajectoryR
Type: Package
Title: Bayesian Model Selection in Logistic Regression for the Detection of Adverse Drug Reactions
Version: 1.0
Date: 2016-02-10
Author: Matthieu Marbac and Mohammed Sedki
Maintainer: Mohammed Sedki <Mohammed.sedki@u-psud.fr>
Description: Spontaneous adverse event reports have a high potential for detecting adverse drug reactions. However, due to their dimension, the analysis of such databases requires statistical methods. We propose to use a logistic regression whose sparsity is viewed as a model selection challenge. Since the model space is huge, a Metropolis-Hastings algorithm carries out the model selection by maximizing the BIC criterion.
License: GPL (>= 2)
Imports: parallel, mgcv
Depends: R (>= 2.10)
Repository: CRAN
NeedsCompilation: no
Packaged: 2016-03-08 13:58:46 UTC; sedki
Date/Publication: 2016-03-08 17:02:33

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Package hnp updated to version 1.2 with previous version 1.1 dated 2015-09-12

Title: Half-Normal Plots with Simulation Envelopes
Description: Generates (half-)normal plots with simulation envelopes using different diagnostics from a range of different fitted models. A few example datasets are included.
Author: Rafael de Andrade Moral [aut, cre], John Hinde [aut], Clarice Garcia Borges Demetrio [aut]
Maintainer: Rafael de Andrade Moral <rafael_moral@yahoo.com.br>

Diff between hnp versions 1.1 dated 2015-09-12 and 1.2 dated 2016-03-08

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New package efreadr with initial version 0.1.1
Package: efreadr
Type: Package
Title: Read European Fluxes CSV Files
Version: 0.1.1
Date: 2016-03-08
Authors@R: c(person("Marco", "Bascietto", role = c("aut", "cre"), email = "marco.bascietto@crea.gov.it"))
Description: The European Eddy Fluxes Database Cluster distributes fluxes of different Green House Gases measured mainly using the eddy covariance technique acquired in sites involved in EU projects but also single sites in Europe, Africa and others continents that decided to share their measurements in the database (cit. http://gaia.agraria.unitus.it ). The package provides two functions to load and row-wise bind CSV files distributed by the database. Currently only L3 and L4 (L=Level), half-hourly and daily (aggregation) files are supported.
License: GPL-3
LazyData: TRUE
RoxygenNote: 5.0.1
Depends: readr, dplyr, ensurer, magrittr
NeedsCompilation: no
Packaged: 2016-03-08 14:34:39 UTC; bask
Author: Marco Bascietto [aut, cre]
Maintainer: Marco Bascietto <marco.bascietto@crea.gov.it>
Repository: CRAN
Date/Publication: 2016-03-08 17:02:35

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New package TLdating with initial version 0.1.0
Package: TLdating
Type: Package
Title: Tools for Thermoluminescences Dating
Version: 0.1.0
Date: 2016-03-01
Authors@R: c( person("David", "Strebler", role= c("aut","cre"), email= "david.strebler@uni-koeln.de"), person("Dominik", "Brill", role = c("ths")), person("Helmut", "Brückner", role=c("ths")) )
Maintainer: David Strebler <david.strebler@uni-koeln.de>
Description: A series of function to make thermoluminescence dating using the MAAD or the SAR protocol. This package completes the R package "Luminescence."
License: GPL-3
Encoding: UTF-8
Depends: R (>= 2.0.0)
Imports: methods, Luminescence, gplots
Collate: 'analyse_TL.MAAD.R' 'analyse_TL.SAR.R' 'analyse_TL.plateau.R' 'calc_TL.LxTx.R' 'calc_TL.MAAD.fit.I.R' 'calc_TL.MAAD.fit.Q.R' 'calc_TL.MAAD.separate.R' 'calc_TL.MAAD.average.R' 'calc_TL.SAR.fit.R' 'calc_TL.plateau.R' 'calc_TL.temperature.R' 'mod_align.peaks.R' 'mod_extract.TL.R' 'mod_extract.aliquot.R' 'mod_extract.preheat.R' 'mod_update.dType.R' 'mod_remove.preheat.R' 'mod_remove.aliquot.R' 'mod_substract.background.R' 'plot_align.peaks.R' 'plot_extract.TL.R' 'plot_remove.preheat.R' 'plot_substract.background.R' 'plot_TL.plateau.R' 'plot_TL.MAAD.R' 'plot_TL.SAR.R' 'script_TL.export.R' 'script_TL.import.R' 'script_TL.MAAD.R' 'script_TL.plateau.R' 'script_TL.pretreatment.R' 'script_TL.SAR.R' 'TLum-class.R' 'TLum.Data-class.R' 'TLum.BIN.File-class.R' 'TLum.Data.Curve-class.R' 'TLum.Analysis-class.R' 'TLum.Results-class.R' 'Risoe.BINfileData2TLum.BIN.File.R' 'TLum.BIN.File2Risoe.BINfileData.R' 'TLum.BIN.File2TLum.Analysis.R' 'RLum.Analysis2TLum.Analysis.R' 'TLum.BIN.File2TLum.Data.Curve.R' 'TLum.Analysis2TLum.BIN.File.R' 'TLum.Analysis2RLum.Analysis.R' 'TLdating-package.R'
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-03-08 12:19:04 UTC; admin
Author: David Strebler [aut, cre], Dominik Brill [ths], Helmut Brückner [ths]
Repository: CRAN
Date/Publication: 2016-03-08 14:44:26

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Package ReporteRs updated to version 0.8.6 with previous version 0.8.5 dated 2016-02-26

Title: Microsoft Word, Microsoft PowerPoint and HTML Documents Generation
Description: Create 'Microsoft Word' document (>=2007), 'Microsoft PowerPoint' document (>=2007) and 'HTML' documents from R. There are several features to let you format and present R outputs ; e.g. Editable Vector Graphics, functions for complex tables reporting, reuse of corporate template document. You can use the package as a tool for fast reporting and as a tool for reporting automation. The package does not require any installation of Microsoft product to be able to write Microsoft files.
Author: David Gohel [aut, cre], Bootstrap [ctb, cph] (Bootstrap development team), jQuery [ctb, cph] (The jQuery Foundation)
Maintainer: David Gohel <david.gohel@lysis-consultants.fr>

Diff between ReporteRs versions 0.8.5 dated 2016-02-26 and 0.8.6 dated 2016-03-08

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New package ProbitSpatial with initial version 1.0
Package: ProbitSpatial
Type: Package
Title: Probit with Spatial Dependence, SAR and SEM Models
Version: 1.0
Date: 2016-02-22 13:30:07
Author: Davide Martinetti and Ghislain Geniaux
Maintainer: Davide Martinetti <dmartinetti@paca.inra.fr>
Description: Binomial Spatial Probit models for big data.
License: GPL (>= 2)
Imports: numDeriv, RANN
Depends: Matrix, methods, Rcpp, speedglm
LinkingTo: RcppEigen, Rcpp
NeedsCompilation: yes
Packaged: 2016-03-08 08:42:33 UTC; dmartinetti
Repository: CRAN
Date/Publication: 2016-03-08 14:21:42

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Package mev updated to version 1.6 with previous version 1.5 dated 2016-02-15

Title: Multivariate Extreme Value Distributions
Description: Exact simulation from max-stable processes and multivariate extreme value distributions for various parametric models. Threshold selection methods.
Author: Leo Belzile [aut, cre], Jennifer L. Wadsworth [aut], Paul J. Northrop [aut], Claire L. Coleman [aut], Jin. Zhang [ctb], Michael A. Newton [ctb], Art Owen [ctb]
Maintainer: Leo Belzile <leo.belzile@epfl.ch>

Diff between mev versions 1.5 dated 2016-02-15 and 1.6 dated 2016-03-08

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Package gtrendsR updated to version 1.3.3 with previous version 1.3.2 dated 2016-02-18

Title: R Functions to Perform and Display Google Trends Queries
Description: An interface for retrieving and displaying the information returned online by Google Trends is provided. Trends (number of hits) over the time as well as geographic representation of the results can be displayed.
Author: Philippe Massicotte [aut, cre], Dirk Eddelbuettel [aut]
Maintainer: Philippe Massicotte <pmassicotte@hotmail.com>

Diff between gtrendsR versions 1.3.2 dated 2016-02-18 and 1.3.3 dated 2016-03-08

 DESCRIPTION          |    9 +-
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Package assertive.base updated to version 0.0-5 with previous version 0.0-4 dated 2016-03-06

Title: A Lightweight Core of the 'assertive' Package
Description: A minimal set of predicates and assertions used by the assertive package. This is mainly for use by other package developers who want to include run-time testing features in their own packages. End-users will usually want to use assertive directly.
Author: Richard Cotton [aut, cre], Sunkyu Choi [trl], Ivanka Skakun [trl], Gergely Dar<c3><b3>czi [trl], Anton Antonov [trl], Hisham Ben Hamidane [trl], Anja Billing [trl], Aditya Bhagwat [trl], Rasmus B<c3><a5><c3><a5>th [trl], Mine Cetinkaya-Rundel [trl], Aspasia Chatziefthymiou [trl]
Maintainer: Richard Cotton <richierocks@gmail.com>

Diff between assertive.base versions 0.0-4 dated 2016-03-06 and 0.0-5 dated 2016-03-08

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Package bigmemory updated to version 4.5.18 with previous version 4.5.17 dated 2016-03-01

Title: Manage Massive Matrices with Shared Memory and Memory-Mapped Files
Description: Create, store, access, and manipulate massive matrices. Matrices are allocated to shared memory and may use memory-mapped files. Packages 'biganalytics', 'bigtabulate', 'synchronicity', and 'bigalgebra' provide advanced functionality.
Author: Michael J. Kane <kaneplusplus@gmail.com>, John W. Emerson <jayemerson@gmail.com>, Peter Haverty <haverty.peter@gene.com>, and Charles Determan Jr. <cdetermanjr@gmail.com>
Maintainer: Michael J. Kane <bigmemoryauthors@gmail.com>

Diff between bigmemory versions 4.5.17 dated 2016-03-01 and 4.5.18 dated 2016-03-08

 DESCRIPTION                         |    8 ++++----
 MD5                                 |   14 +++++++-------
 R/bigmemory.R                       |   16 ++++------------
 R/hello-bigmemory.R                 |    4 ----
 man/bigmemory-package.Rd            |    4 ----
 src/BigMatrix.cpp                   |   24 ++++++------------------
 tests/testthat/test_matrix_manips.R |   12 ++++++++++++
 tests/testthat/test_readonly.R      |    6 +++++-
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More information about bigmemory at CRAN
Permanent link

Package assertive updated to version 0.3-2 with previous version 0.3-1 dated 2015-10-08

Title: Readable Check Functions to Ensure Code Integrity
Description: Lots of predicates (is_* functions) to check the state of your variables, and assertions (assert_* functions) to throw errors if they aren't in the right form.
Author: Richard Cotton [aut, cre]
Maintainer: Richard Cotton <richierocks@gmail.com>

Diff between assertive versions 0.3-1 dated 2015-10-08 and 0.3-2 dated 2016-03-08

 assertive-0.3-1/assertive/man/is_set_equal.Rd                         |only
 assertive-0.3-2/assertive/DESCRIPTION                                 |   29 
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 assertive-0.3-2/assertive/NAMESPACE                                   |   28 
 assertive-0.3-2/assertive/NEWS                                        |    2 
 assertive-0.3-2/assertive/R/exports-properties.R                      |   21 
 assertive-0.3-2/assertive/R/exports-reflection.R                      |  504 +++----
 assertive-0.3-2/assertive/R/exports-sets.R                            |   31 
 assertive-0.3-2/assertive/R/exports-strings.R                         |    9 
 assertive-0.3-2/assertive/R/exports-types.R                           |  657 +++++-----
 assertive-0.3-2/assertive/README.md                                   |  478 +++----
 assertive-0.3-2/assertive/inst/doc/checklists.Rmd                     |    4 
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 assertive-0.3-2/assertive/man/is2.Rd                                  |    2 
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 assertive-0.3-2/assertive/man/is_cas_number.Rd                        |    2 
 assertive-0.3-2/assertive/man/is_character.Rd                         |    2 
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 assertive-0.3-2/assertive/man/is_dir.Rd                               |    2 
 assertive-0.3-2/assertive/man/is_divisible_by.Rd                      |    2 
 assertive-0.3-2/assertive/man/is_email_address.Rd                     |    2 
 assertive-0.3-2/assertive/man/is_empty.Rd                             |    2 
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 assertive-0.3-2/assertive/man/is_in_past.Rd                           |    2 
 assertive-0.3-2/assertive/man/is_in_range.Rd                          |    2 
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 assertive-0.3-2/assertive/man/is_isbn_code.Rd                         |    2 
 assertive-0.3-2/assertive/man/is_language.Rd                          |    2 
 assertive-0.3-2/assertive/man/is_leaf.Rd                              |    2 
 assertive-0.3-2/assertive/man/is_library.Rd                           |    2 
 assertive-0.3-2/assertive/man/is_list.Rd                              |    2 
 assertive-0.3-2/assertive/man/is_loaded.Rd                            |    8 
 assertive-0.3-2/assertive/man/is_logical.Rd                           |    2 
 assertive-0.3-2/assertive/man/is_lower_triangular_matrix.Rd           |    2 
 assertive-0.3-2/assertive/man/is_nan.Rd                               |    2 
 assertive-0.3-2/assertive/man/is_null.Rd                              |    2 
 assertive-0.3-2/assertive/man/is_numeric.Rd                           |    6 
 assertive-0.3-2/assertive/man/is_numeric_string.Rd                    |   11 
 assertive-0.3-2/assertive/man/is_on_os_path.Rd                        |    2 
 assertive-0.3-2/assertive/man/is_package_current.Rd                   |    2 
 assertive-0.3-2/assertive/man/is_qr.Rd                                |    2 
 assertive-0.3-2/assertive/man/is_r.Rd                                 |    2 
 assertive-0.3-2/assertive/man/is_r_current.Rd                         |    2 
 assertive-0.3-2/assertive/man/is_raster.Rd                            |    2 
 assertive-0.3-2/assertive/man/is_raw.Rd                               |    2 
 assertive-0.3-2/assertive/man/is_real.Rd                              |    2 
 assertive-0.3-2/assertive/man/is_relistable.Rd                        |    2 
 assertive-0.3-2/assertive/man/is_rstudio_current.Rd                   |    2 
 assertive-0.3-2/assertive/man/is_rstudio_desktop.Rd                   |    2 
 assertive-0.3-2/assertive/man/is_s4.Rd                                |    2 
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 assertive-0.3-2/assertive/man/is_square_matrix.Rd                     |    2 
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 assertive-0.3-2/assertive/man/is_table.Rd                             |    2 
 assertive-0.3-2/assertive/man/is_tbl.Rd                               |    2 
 assertive-0.3-2/assertive/man/is_try_error.Rd                         |    2 
 assertive-0.3-2/assertive/man/is_ts.Rd                                |    2 
 assertive-0.3-2/assertive/man/is_uk_car_licence.Rd                    |    2 
 assertive-0.3-2/assertive/man/is_uk_national_insurance_number.Rd      |    2 
 assertive-0.3-2/assertive/man/is_uk_postcode.Rd                       |    2 
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 assertive-0.3-2/assertive/man/is_unsorted.Rd                          |    2 
 assertive-0.3-2/assertive/man/is_us_social_security_number.Rd         |    2 
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 assertive-0.3-2/assertive/man/is_us_zip_code.Rd                       |    2 
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 assertive-0.3-2/assertive/man/is_whole_number.Rd                      |    2 
 assertive-0.3-2/assertive/man/is_windows.Rd                           |    2 
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 assertive-0.3-2/assertive/man/set_cause.Rd                            |    2 
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 assertive-0.3-2/assertive/man/sys_get_locale.Rd                       |    2 
 assertive-0.3-2/assertive/man/use_first.Rd                            |    2 
 assertive-0.3-2/assertive/tests/testthat.R                            |   12 
 140 files changed, 1315 insertions(+), 1149 deletions(-)

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Package WufooR updated to version 0.6.1 with previous version 0.5.9 dated 2016-02-15

Title: R Wrapper for the 'Wufoo.com' - The Form Building Service
Description: Allows form managers to download entries from their respondents using Wufoo JSON API. Additionally, the Wufoo reports - when public - can be also acquired programmatically. Note that building new forms within this package is not supported.
Author: John Malc [aut, cre] (@dmpe), Maksim Pecherskiy [ctb] (@MrMaksimize)
Maintainer: John Malc <cincenko@outlook.com>

Diff between WufooR versions 0.5.9 dated 2016-02-15 and 0.6.1 dated 2016-03-08

 DESCRIPTION                |   22 -
 MD5                        |   42 +--
 NAMESPACE                  |   30 +-
 NEWS                       |   31 +-
 R/Fields.R                 |  142 +++++-----
 R/Form.R                   |  320 ++++++++++++------------
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 R/Users.R                  |   60 ++--
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 man/user_info.Rd           |   66 ++---
 vignettes/Tutorial.Rmd     |  154 +++++------
 22 files changed, 1257 insertions(+), 1223 deletions(-)

More information about WufooR at CRAN
Permanent link

Package Tariff updated to version 1.0.1 with previous version 1.0 dated 2016-03-03

Title: Replicate Tariff Method for Verbal Autopsy
Description: Implement Tariff algorithm for coding cause of death from verbal autopsies developed by James et al (2011). It also provides simple graphical representation of individual and population level statistics.
Author: Zehang Li, Tyler McCormick, Sam Clark
Maintainer: Zehang Li <lizehang@uw.edu>

Diff between Tariff versions 1.0 dated 2016-03-03 and 1.0.1 dated 2016-03-08

 DESCRIPTION              |   10 +++++-----
 MD5                      |   21 ++++++++++++---------
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 R/Tariff.r               |    6 +++---
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More information about Tariff at CRAN
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Package MetaLandSim updated to version 0.4.2 with previous version 0.4.1 dated 2015-10-01

Title: Landscape and Range Expansion Simulation
Description: Tools to generate random landscape graphs, evaluate species occurrence in dynamic landscapes, simulate future landscape occupation and evaluate range expansion when new empty patches are available (e.g. as a result of climate change).
Author: Frederico Mestre, Fernando Canovas, Ricardo Pita, Antonio Mira, Pedro Beja.
Maintainer: Frederico Mestre <mestre.frederico@gmail.com>

Diff between MetaLandSim versions 0.4.1 dated 2015-10-01 and 0.4.2 dated 2016-03-08

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 NAMESPACE                     |   11 
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 inst/doc/range_expansion.R    |   84 +++---
 man/MetaLandSim-package.Rd    |    6 
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 35 files changed, 641 insertions(+), 573 deletions(-)

More information about MetaLandSim at CRAN
Permanent link

Package mbest updated to version 0.5 with previous version 0.4 dated 2015-10-19

Title: Moment-Based Estimation for Hierarchical Models
Description: Implements methods from the paper "Fast Moment-Based Estimation for Hierarchical Models," by Perry (2016).
Author: Patrick O. Perry [aut, cre], Timothy Sweetser [ctb]
Maintainer: Patrick O. Perry <pperry@stern.nyu.edu>

Diff between mbest versions 0.4 dated 2015-10-19 and 0.5 dated 2016-03-08

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 mbest-0.5/mbest/R/mhglm.fit.R        |  126 ++++++++++++-----
 mbest-0.5/mbest/R/moment.est.R       |  255 +++++++++++++++++++++--------------
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More information about mbest at CRAN
Permanent link

Package koRpus updated to version 0.06-4 with previous version 0.05-6 dated 2015-06-30

Title: An R Package for Text Analysis
Description: A set of tools to analyze texts. Includes, amongst others, functions for automatic language detection, hyphenation, several indices of lexical diversity (e.g., type token ratio, HD-D/vocd-D, MTLD) and readability (e.g., Flesch, SMOG, LIX, Dale-Chall). Basic import functions for language corpora are also provided, to enable frequency analyses (supports Celex and Leipzig Corpora Collection file formats) and measures like tf-idf. Support for additional languages can be added on-the-fly or by plugin packages. Note: For full functionality a local installation of TreeTagger is recommended. 'koRpus' also includes a plugin for the R GUI and IDE RKWard, providing graphical dialogs for its basic features. The respective R package 'rkward' cannot be installed directly from a repository, as it is a part of RKWard. To make full use of this feature, please install RKWard from https://rkward.kde.org (plugins are detected automatically). Due to some restrictions on CRAN, the full package sources are only available from the project homepage. To ask for help, report bugs, suggest feature improvements, or discuss the global development of the package, please subscribe to the koRpus-dev mailing list (https://ml06.ispgateway.de/mailman/ listinfo/korpus-dev_r.reaktanz.de).
Author: m.eik michalke [aut, cre], Earl Brown [ctb], Alberto Mirisola [ctb], Alexandre Brulet [ctb], Laura Hauser [ctb]
Maintainer: m.eik michalke <meik.michalke@hhu.de>

Diff between koRpus versions 0.05-6 dated 2015-06-30 and 0.06-4 dated 2016-03-08

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Package cjoint updated to version 2.0.4 with previous version 2.0.3 dated 2016-01-12

Title: AMCE Estimator for Conjoint Experiments
Description: An R implementation of the Average Marginal Component-specific Effects (AMCE) estimator presented in Hainmueller, J., Hopkins, D., and Yamamoto T. (2014) Causal Inference in Conjoint Analysis: Understanding Multi-Dimensional Choices via Stated Preference Experiments. Political Analysis 22(1):1-30.
Author: Anton Strezhnev, Elissa Berwick, Jens Hainmueller, Daniel Hopkins, Teppei Yamamoto
Maintainer: Anton Strezhnev <astrezhnev@fas.harvard.edu>

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Package chillR updated to version 0.60 with previous version 0.55 dated 2015-04-15

Title: Statistical Methods for Phenology Analysis in Temperate Fruit Trees
Description: The phenology of plants (i.e. the timing of their annual life phases) depends on climatic cues. For temperate trees and many other plants, spring phases, such as leaf emergence and flowering, have been found to result from the effects of both cool (chilling) conditions and heat. Fruit tree scientists (pomologists) have developed some metrics to quantify chilling and heat. 'chillR' contains functions for processing temperature records into chilling (Chilling Hours, Utah Chill Units and Chill Portions) and heat units (Growing Degree Hours). Regarding chilling metrics, Chill Portions are often considered the most promising, but they are difficult to calculate. This package makes it easy. 'chillR' also contains procedures for conducting a PLS analysis relating phenological dates (e.g. bloom dates) to either mean temperatures or mean chill and heat accumulation rates, based on long-term weather and phenology records.
Author: Eike Luedeling
Maintainer: Eike Luedeling <eike@eikeluedeling.com>

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Mon, 07 Mar 2016

Package scrubr updated to version 0.1.1 with previous version 0.1.0 dated 2016-03-04

Title: Clean Biological Occurrence Records
Description: Clean biological occurrence records. Includes functionality for cleaning based on various aspects of spatial coordinates, unlikely values due to political 'centroids', coordinates based on where collections of specimens are held, and more.
Author: Scott Chamberlain [aut, cre]
Maintainer: Scott Chamberlain <myrmecocystus@gmail.com>

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Package OmicKriging updated to version 1.4.0 with previous version 1.3 dated 2014-06-18

Title: Poly-Omic Prediction of Complex TRaits
Description: It provides functions to generate a correlation matrix from a genetic dataset and to use this matrix to predict the phenotype of an individual by using the phenotypes of the remaining individuals through kriging. Kriging is a geostatistical method for optimal prediction or best unbiased linear prediction. It consists of predicting the value of a variable at an unobserved location as a weighted sum of the variable at observed locations. Intuitively, it works as a reverse linear regression: instead of computing correlation (univariate regression coefficients are simply scaled correlation) between a dependent variable Y and independent variables X, it uses known correlation between X and Y to predict Y.
Author: Hae Kyung Im, Heather E. Wheeler, Keston Aquino Michaels, Vassily Trubetskoy
Maintainer: Hae Kyung Im <haky@uchicago.edu>

Diff between OmicKriging versions 1.3 dated 2014-06-18 and 1.4.0 dated 2016-03-07

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Package LinkedMatrix updated to version 1.1.0 with previous version 1.0.0 dated 2015-10-22

Title: Column-Linked and Row-Linked Matrices
Description: Matrices implemented as collections of matrix-like nodes, linked by columns or rows.
Author: Gustavo de los Campos [aut], Alexander Grueneberg [aut, cre]
Maintainer: Alexander Grueneberg <alexander.grueneberg@googlemail.com>

Diff between LinkedMatrix versions 1.0.0 dated 2015-10-22 and 1.1.0 dated 2016-03-07

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Package GMDH updated to version 1.3 with previous version 1.2 dated 2015-12-28

Title: Short Term Forecasting via GMDH-Type Neural Network Algorithms
Description: Group method of data handling (GMDH) - type neural network algorithm is the heuristic self-organization method for modelling the complex systems. In this package, GMDH-type neural network algorithms are applied to make short term forecasting for a univariate time series.
Author: Osman Dag, Ceylan Yozgatligil
Maintainer: Osman Dag <osman.dag@hacettepe.edu.tr>

Diff between GMDH versions 1.2 dated 2015-12-28 and 1.3 dated 2016-03-07

 DESCRIPTION   |    8 +-
 MD5           |   12 +--
 NAMESPACE     |    6 -
 R/fcast.R     |  190 ++++++++++++++++++++++++++++++++++++++++++++++++++++++----
 man/GMDH.Rd   |    4 -
 man/cancer.Rd |    2 
 man/fcast.Rd  |   23 ++++---
 7 files changed, 208 insertions(+), 37 deletions(-)

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New package genie with initial version 1.0.0
Package: genie
Type: Package
Title: A New, Fast, and Outlier Resistant Hierarchical Clustering Algorithm
Version: 1.0.0
Date: 2016-03-07
Authors@R: c( person("Marek", "Gagolewski", role = c("aut", "cre"), email = "gagolews@rexamine.com"), person("Maciej", "Bartoszuk", role = "aut", email = "bartoszuk@rexamine.com"), person("Anna", "Cena", role = "aut", email = "cena@rexamine.com") )
Description: A new hierarchical clustering linkage criterion: the Genie algorithm links two clusters in such a way that a chosen economic inequity measure (e.g., the Gini index) of the cluster sizes does not increase drastically above a given threshold. Benchmarks indicate a high practical usefulness of the introduced method: it most often outperforms the Ward or average linkage in terms of the clustering quality while retaining the single linkage speed.
License: GPL (>= 3)
Depends: R (>= 3.1.0), stats
Imports: Rcpp (>= 0.12.0)
Suggests: datasets, testthat, stringi
LinkingTo: Rcpp (>= 0.12.0)
SystemRequirements: OpenMP, C++11
RoxygenNote: 5.0.1
NeedsCompilation: yes
Packaged: 2016-03-07 15:59:02 UTC; gagolews
Author: Marek Gagolewski [aut, cre], Maciej Bartoszuk [aut], Anna Cena [aut]
Maintainer: Marek Gagolewski <gagolews@rexamine.com>
Repository: CRAN
Date/Publication: 2016-03-07 23:24:16

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Package FCNN4R updated to version 0.6.1 with previous version 0.6.0 dated 2015-12-31

Title: Fast Compressed Neural Networks for R
Description: Provides an interface to kernel routines from the FCNN C++ library. FCNN is based on a completely new Artificial Neural Network representation that offers unmatched efficiency, modularity, and extensibility. FCNN4R provides standard teaching (backpropagation, Rprop, simulated annealing, stochastic gradient) and pruning algorithms (minimum magnitude, Optimal Brain Surgeon), but it is first and foremost an efficient computational engine. Users can easily implement their algorithms by taking advantage of fast gradient computing routines, as well as network reconstruction functionality (removing weights and redundant neurons, reordering inputs, merging networks). Networks can be exported to C functions in order to integrate them into virtually any software solution.
Author: Grzegorz Klima <gklima@users.sourceforge.net>
Maintainer: Grzegorz Klima <gklima@users.sourceforge.net>

Diff between FCNN4R versions 0.6.0 dated 2015-12-31 and 0.6.1 dated 2016-03-07

 FCNN4R-0.6.0/FCNN4R/src/fcnn/version.h        |only
 FCNN4R-0.6.1/FCNN4R/DESCRIPTION               |    9 +--
 FCNN4R-0.6.1/FCNN4R/MD5                       |   70 +++++++++++++------------
 FCNN4R-0.6.1/FCNN4R/NAMESPACE                 |    1 
 FCNN4R-0.6.1/FCNN4R/R/dataset.R               |    2 
 FCNN4R-0.6.1/FCNN4R/R/fcnn4r.R                |    2 
 FCNN4R-0.6.1/FCNN4R/R/mlp_gteach.R            |   14 ++---
 FCNN4R-0.6.1/FCNN4R/R/mlp_net.R               |   72 ++++++++++++++++----------
 FCNN4R-0.6.1/FCNN4R/R/mlp_plot.R              |    2 
 FCNN4R-0.6.1/FCNN4R/R/mlp_prune.R             |    2 
 FCNN4R-0.6.1/FCNN4R/R/mlp_teach.R             |   14 +----
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 FCNN4R-0.6.1/FCNN4R/man/mlp_teach_sa.Rd       |    7 +-
 FCNN4R-0.6.1/FCNN4R/src/Makevars              |    2 
 FCNN4R-0.6.1/FCNN4R/src/Makevars.win          |    2 
 FCNN4R-0.6.1/FCNN4R/src/dataset.cpp           |    3 -
 FCNN4R-0.6.1/FCNN4R/src/fcnn/activation.h     |    2 
 FCNN4R-0.6.1/FCNN4R/src/fcnn/error.h          |    2 
 FCNN4R-0.6.1/FCNN4R/src/fcnn/export.cpp       |    2 
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 FCNN4R-0.6.1/FCNN4R/src/fcnn/level2.cpp       |    2 
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 FCNN4R-0.6.1/FCNN4R/src/fcnn/level3.h         |    2 
 FCNN4R-0.6.1/FCNN4R/src/fcnn/report.cpp       |   10 +--
 FCNN4R-0.6.1/FCNN4R/src/fcnn/report.h         |    2 
 FCNN4R-0.6.1/FCNN4R/src/fcnn/struct.cpp       |   26 ++++++---
 FCNN4R-0.6.1/FCNN4R/src/fcnn/struct.h         |    2 
 FCNN4R-0.6.1/FCNN4R/src/fcnn/utils.cpp        |   10 +--
 FCNN4R-0.6.1/FCNN4R/src/fcnn/utils.h          |    2 
 FCNN4R-0.6.1/FCNN4R/src/interface.cpp         |    2 
 38 files changed, 156 insertions(+), 143 deletions(-)

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Package diseasemapping updated to version 1.4.0 with previous version 1.2.7 dated 2015-11-09

Title: Modelling Spatial Variation in Disease Risk for Areal Data
Description: Formatting of population and case data, calculation of Standardized Incidence Ratios, and fitting the BYM model using INLA.
Author: Patrick Brown <patrick.brown@utoronto.ca>
Maintainer: Patrick Brown <patrick.brown@utoronto.ca>

Diff between diseasemapping versions 1.2.7 dated 2015-11-09 and 1.4.0 dated 2016-03-07

 DESCRIPTION             |   17 ++-
 MD5                     |   20 ++--
 R/bym.R                 |  214 +++++++++++++++++++++++++++++++++++++++++++++---
 R/cancer-rates.info.R   |only
 build                   |only
 data/casedata.RData     |binary
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 12 files changed, 233 insertions(+), 36 deletions(-)

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New package condformat with initial version 0.2.0
Package: condformat
Type: Package
Title: Conditional Formatting in Data Frames
Version: 0.2.0
Date: 2016-03-06
Authors@R: person("Sergio", c("Oller", "Moreno"), email = "sergioller@gmail.com", role = c("aut", "cph", "cre"))
URL: http://github.com/zeehio/condformat
BugReports: http://github.com/zeehio/condformat/issues
Description: Apply and visualize conditional formatting to data frames in R. It presents a data frame as an HTML table with cells CSS formatted according to criteria defined by rules, using a syntax similar to 'ggplot2'. The table is printed either opening a web browser or within the 'RStudio' viewer if available. The conditional formatting rules allow to highlight cells matching a condition or add a gradient background to a given column based on a column values.
License: BSD_3_clause + file LICENSE
LazyData: TRUE
NeedsCompilation: no
Imports: htmlTable, scales, dplyr, assertthat, lazyeval, knitr
Suggests: testthat
VignetteBuilder: knitr
RoxygenNote: 5.0.1
Packaged: 2016-03-07 14:05:54 UTC; soller
Author: Sergio Oller Moreno [aut, cph, cre]
Maintainer: Sergio Oller Moreno <sergioller@gmail.com>
Repository: CRAN
Date/Publication: 2016-03-07 23:25:48

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New package compareDF with initial version 1.0.0
Package: compareDF
Type: Package
Title: Do a Git Style Diff of the Rows Between Two Dataframes with Similar Structure
Version: 1.0.0
Date: 2016-03-05
Authors@R: person("Alex", "Joseph", email = "alexsanjoseph@gmail.com", role = c("aut", "cre"))
Description: Compares two dataframes which have the same column structure to show the rows that have changed. Also gives a git style diff format to quickly see what has changes in addition to summary statistics.
License: MIT + file LICENSE
Depends: R (>= 3.0.0)
Imports: dplyr (>= 0.4.3), tidyr (>= 0.4.1)
Suggests: htmlTable (>= 1.5), testthat
LazyData: TRUE
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-03-07 11:58:46 UTC; alexsanjoseph
Author: Alex Joseph [aut, cre]
Maintainer: Alex Joseph <alexsanjoseph@gmail.com>
Repository: CRAN
Date/Publication: 2016-03-08 00:20:18

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New package braidrm with initial version 0.71
Package: braidrm
Type: Package
Title: Fitting Dose Response with the BRAID Combined Action Model
Version: 0.71
Date: 2016-03-07
Author: Nathaniel R. Twarog
Maintainer: Nathaniel R. Twarog <nathaniel.twarog@stjude.org>
Depends: stats
Description: Contains functions for evaluating, analyzing, and fitting combined action dose response surfaces with the Bivariate Response to Additive Interacting Dose (BRAID) model of combined action.
License: GPL (>= 3)
Packaged: 2016-03-07 20:36:10 UTC; ntwarog
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2016-03-08 00:13:04

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Package archivist updated to version 2.0.3 with previous version 2.0.2 dated 2016-03-04

Title: Tools for Storing, Restoring and Searching for R Objects
Description: Data exploration and modelling is a process in which a lot of data artifacts are produced. Artifacts like: subsets, data aggregates, plots, statistical models, different versions of data sets and different versions of results. The more projects we work with the more artifacts are produced and the harder it is to manage these artifacts. Archivist helps to store and manage artifacts created in R. Archivist allows you to store selected artifacts as a binary files together with their metadata and relations. Archivist allows to share artifacts with others, either through shared folder or github. Archivist allows to look for already created artifacts by using it's class, name, date of the creation or other properties. Makes it easy to restore such artifacts. Archivist allows to check if new artifact is the exact copy that was produced some time ago. That might be useful either for testing or caching.
Author: Przemyslaw Biecek [aut, cre], Marcin Kosinski [aut], Witold Chodor [ctb]
Maintainer: Przemyslaw Biecek <przemyslaw.biecek@gmail.com>

Diff between archivist versions 2.0.2 dated 2016-03-04 and 2.0.3 dated 2016-03-07

 DESCRIPTION           |    6 +++---
 MD5                   |    8 ++++----
 NAMESPACE             |    1 +
 R/archivist-package.R |    1 +
 R/restoreLibraries.R  |   17 ++++++++++-------
 5 files changed, 19 insertions(+), 14 deletions(-)

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Package archiDART updated to version 1.4 with previous version 1.3 dated 2016-03-06

Title: Plant Root System Architecture Analysis Using DART and RSML Files
Description: Analysis of complex plant root system architectures (RSA) using the output files created by Data Analysis of Root Tracings (DART), an open-access software dedicated to the study of plant root architecture and development across time series (Le Bot et al (2010) "DART: a software to analyse root system architecture and development from captured images", Plant and Soil, <DOI:10.1007/s11104-009-0005-2>), and RSA data encoded with the Root System Markup Language (RSML) (Lobet et al (2015) "Root System Markup Language: toward a unified root architecture description language", Plant Physiology, <DOI:10.1104/pp.114.253625>). More information can be found in Delory et al (2016) "archiDART: an R package for the automated computation of plant root architectural traits", Plant and Soil, <DOI:10.1007/s11104-015-2673-4>.
Author: Benjamin M Delory, Caroline Baudson, Yves Brostaux, Guillaume Lobet, Patrick du Jardin, Loic Pages, Pierre Delaplace
Maintainer: Benjamin M Delory <Benjamin.Delory@leuphana.de>

Diff between archiDART versions 1.3 dated 2016-03-06 and 1.4 dated 2016-03-07

 DESCRIPTION |   10 +++++-----
 MD5         |    2 +-
 2 files changed, 6 insertions(+), 6 deletions(-)

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New package svmadmm with initial version 0.1
Package: svmadmm
Title: Linear/Nonlinear SVM Classification Solver Based on ADMM and IADMM Algorithms
Version: 0.1
Author: Ben DAI <bendai2-c@my.cityu.edu.hk>; Junhui Wang <j.h.wang@cityu.edu.hk>
Maintainer: Ben DAI <bendai2-c@my.cityu.edu.hk>
Description: Solve large-scale regularised linear/kernel classification by using ADMM and IADMM algorithms. This package provides linear L2-regularised primal classification (both ADMM and IADMM are available), kernel L2-regularised dual classification (IADMM) as well as L1-regularised primal classification (both ADMM and IADMM are available).
Depends: R (>= 3.2.2), kernlab
License: GPL-2
LazyData: true
Repository: CRAN
NeedsCompilation: yes
Packaged: 2016-03-07 12:17:44 UTC; ben
Date/Publication: 2016-03-07 22:28:51

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Package sparkTable updated to version 1.2.0 with previous version 1.1.0 dated 2015-11-11

Title: Sparklines and Graphical Tables for TeX and HTML
Description: Create sparklines and graphical tables for documents and websites.
Author: Alexander Kowarik, Bernhard Meindl, Matthias Templ
Maintainer: Alexander Kowarik <alexander.kowarik@statistik.gv.at>

Diff between sparkTable versions 1.1.0 dated 2015-11-11 and 1.2.0 dated 2016-03-07

 DESCRIPTION |    8 ++++----
 MD5         |    4 ++--
 R/methods.r |   10 +++++-----
 3 files changed, 11 insertions(+), 11 deletions(-)

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Package RNeXML updated to version 2.0.6 with previous version 2.0.5 dated 2015-12-30

Title: Semantically Rich I/O for the 'NeXML' Format
Description: Provides access to phyloinformatic data in 'NeXML' format. The package should add new functionality to R such as the possibility to manipulate 'NeXML' objects in more various and refined way and compatibility with 'ape' objects.
Author: Carl Boettiger [cre, aut], Scott Chamberlain [aut], Hilmar Lapp [aut], Kseniia Shumelchyk [aut], Rutger Vos [aut]
Maintainer: Carl Boettiger <cboettig@gmail.com>

Diff between RNeXML versions 2.0.5 dated 2015-12-30 and 2.0.6 dated 2016-03-07

 DESCRIPTION        |    8 ++++----
 MD5                |   12 ++++++------
 NEWS               |    5 +++++
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 R/nexml_write.R    |    2 +-
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 7 files changed, 21 insertions(+), 12 deletions(-)

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New package soql with initial version 0.1
Package: soql
Type: Package
Title: Helps Make Socrata Open Data API Calls
Version: 0.1
Date: 2016-03-06
Suggests: magrittr
Author: Zeb Burke-Conte
Maintainer: "Zeb Burke-Conte" <zmbc@uw.edu>
Description: Used to construct the URLs and parameters of 'Socrata Open Data API' <https://dev.socrata.com> calls, using the API's 'SoQL' parameter format. Has method-chained and sensical syntax. Plays well with pipes.
License: MIT + file LICENSE
NeedsCompilation: no
Packaged: 2016-03-07 16:52:06 UTC; Zeb
Repository: CRAN
Date/Publication: 2016-03-07 22:30:49

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Package marked updated to version 1.1.11 with previous version 1.1.10 dated 2015-08-20

Title: Mark-Recapture Analysis for Survival and Abundance Estimation
Description: Functions for fitting various models to capture-recapture data including fixed and mixed-effects Cormack-Jolly-Seber(CJS) for survival estimation and POPAN structured Jolly-Seber models for abundance estimation. Includes a CJS models that concurrently estimates and corrects for tag loss. Hidden Markov model (HMM) implementations of CJS and multistate models with and without state uncertainty.
Author: Jeff Laake <jeff.laake@noaa.gov>, Devin Johnson <devin.johnson@noaa.gov>, Paul Conn <paul.conn@noaa.gov>
Maintainer: Jeff Laake <Jeff.Laake@noaa.gov>

Diff between marked versions 1.1.10 dated 2015-08-20 and 1.1.11 dated 2016-03-07

 DESCRIPTION                    |   14 ++-
 MD5                            |  152 ++++++++++++++++++++---------------------
 NAMESPACE                      |    3 
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 R/cjs.R                        |   28 +++++--
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 R/crm.R                        |    8 +-
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 77 files changed, 439 insertions(+), 350 deletions(-)

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Package immer updated to version 0.4-0 with previous version 0.3-0 dated 2016-01-22

Title: Item Response Models for Multiple Ratings
Description: Implements some item response models for multiple ratings, including the hierarchical rater model, conditional maximum likelihood estimation of linear logistic partial credit model and a wrapper function to the commercial FACETS program.
Author: Alexander Robitzsch [aut, cre], Jan Steinfeld [aut]
Maintainer: Alexander Robitzsch <robitzsch@ipn.uni-kiel.de>

Diff between immer versions 0.3-0 dated 2016-01-22 and 0.4-0 dated 2016-03-07

 DESCRIPTION                     |    8 +--
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 NAMESPACE                       |   66 +++++++++++++++-------------
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Package forecTheta updated to version 2.1 with previous version 2.0 dated 2016-03-02

Title: Forecasting Time Series by Theta Models
Description: Routines for forecasting univariate time series using Theta Models. Contains several cross-validation routines.
Author: Jose Augusto Fiorucci, Francisco Louzada and Bao Yiqi
Maintainer: Jose Augusto Fiorucci <jafiorucci@gmail.com>

Diff between forecTheta versions 2.0 dated 2016-03-02 and 2.1 dated 2016-03-07

 ChangeLog                       |   11 +++++++++--
 DESCRIPTION                     |    8 ++++----
 MD5                             |   22 +++++++++++-----------
 R/crossValidationFunctions.R    |    2 +-
 R/forecastFunctions.R           |   14 +++++++++-----
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 man/plot.thetaModel.Rd          |    4 ++--
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 12 files changed, 71 insertions(+), 59 deletions(-)

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Package ComICS updated to version 1.0.3 with previous version 1.0.2 dated 2016-01-28

Title: Computational Methods for Immune Cell-Type Subsets
Description: Provided are Computational methods for Immune Cell-type Subsets, including:(1) DCQ (Digital Cell Quantifier) to infer global dynamic changes in immune cell quantities within a complex tissue; and (2) VoCAL (Variation of Cell-type Abundance Loci) a deconvolution-based method that utilizes transcriptome data to infer the quantities of immune-cell types, and then uses these quantitative traits to uncover the underlying DNA loci.
Author: Yael Steuerman [aut, cre], Irit Gat-Viks [aut]
Maintainer: Yael Steuerman <yaelsteu@mail.tau.ac.il>

Diff between ComICS versions 1.0.2 dated 2016-01-28 and 1.0.3 dated 2016-03-07

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Package cit updated to version 2.0 with previous version 1.9 dated 2016-01-10

Title: Causal Inference Test
Description: A likelihood-based hypothesis testing approach is implemented for assessing causal mediation. For example, it could be used to test for mediation of a known causal association between a DNA variant, the 'instrumental variable', and a clinical outcome or phenotype by gene expression or DNA methylation, the potential mediator. Another example would be testing mediation of the effect of a drug on a clinical outcome by the molecular target. The hypothesis test generates a p-value or permutation-based FDR value with confidence intervals to quantify uncertainty in the causal inference. The outcome can be represented by either a continuous or binary variable, the potential mediator is continuous, and the instrumental variable can be continuous or binary and is not limited to a single variable but may be a design matrix representing multiple variables.
Author: Joshua Millstein
Maintainer: Joshua Millstein <joshua.millstein@usc.edu>

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Package ccaPP updated to version 0.3.2 with previous version 0.3.1 dated 2015-11-11

Title: (Robust) Canonical Correlation Analysis via Projection Pursuit
Description: Canonical correlation analysis and maximum correlation via projection pursuit, as well as fast implementations of correlation estimators, with a focus on robust and non-parametric methods.
Author: Andreas Alfons [aut, cre], David Simcha [ctb]
Maintainer: Andreas Alfons <alfons@ese.eur.nl>

Diff between ccaPP versions 0.3.1 dated 2015-11-11 and 0.3.2 dated 2016-03-07

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Package DataCombine updated to version 0.2.19 with previous version 0.2.18 dated 2015-12-24

Title: Tools for Easily Combining and Cleaning Data Sets
Description: Tools for combining and cleaning data sets, particularly with grouped and time series data.
Author: Christopher Gandrud [aut, cre]
Maintainer: Christopher Gandrud <christopher.gandrud@gmail.com>

Diff between DataCombine versions 0.2.18 dated 2015-12-24 and 0.2.19 dated 2016-03-07

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Package ViSiElse updated to version 1.0.1 with previous version 1.0.0 dated 2016-01-12

Title: A Visual Tool for Behaviour Analysis
Description: A graphical tool designed to visualize and to give an overview of behavioural observations realized on individuals or groups. ViSiElse allows visualization of raw data during experimental observations of the realization of a procedure. It graphically presents an overview of individuals and group actions usually acquired from timestamps during video recorded sessions. Options of the package allow adding graphical information as statistical indicators (mean, standard deviation, quantile or statistical test) but also for each action green or black zones providing visual information about the accuracy of the realized actions.
Author: Nastasia Fouret [aut, cre, cph], Mederic Descoins [aut, cph], CEPOI - EA 7388 [cph]
Maintainer: Nastasia Fouret <nastasia.fouret@chu-reunion.fr>

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Package ssym updated to version 1.5.5 with previous version 1.5.4 dated 2015-10-22

Title: Fitting Semi-Parametric log-Symmetric Regression Models
Description: Set of tools to fit a semi-parametric regression model suitable for analysis of data sets in which the response variable is continuous, strictly positive, asymmetric and possibly, censored. Under this setup, both the median and the skewness of the response variable distribution are explicitly modeled by using semi-parametric functions, whose non-parametric components may be approximated by natural cubic splines or P-splines. Supported distributions for the model error include log-normal, log-Student-t, log-power-exponential, log-hyperbolic, log-contaminated-normal, log-slash, Birnbaum-Saunders and Birnbaum-Saunders-t distributions.
Author: Luis Hernando Vanegas <hvanegasp@gmail.com> and Gilberto A. Paula
Maintainer: Luis Hernando Vanegas <hvanegasp@gmail.com>

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Package rEDM updated to version 0.4.5 with previous version 0.4.4 dated 2016-03-05

Title: Applications of Empirical Dynamic Modeling from Time Series
Description: Contains C++ compiled objects that use time delay embedding to perform state-space reconstruction and nonlinear forecasting and an R interface to those objects using 'Rcpp'. It supports both the simplex projection method from Sugihara & May (1990) <DOI:10.1038/344734a0> and the S-map algorithm in Sugihara (1994) <DOI:10.1098/rsta.1994.0106>. In addition, this package implements convergent cross mapping as described by Sugihara et al. (2012) <DOI:10.1126/science.1227079>.
Author: Hao Ye, Adam Clark, Ethan Deyle
Maintainer: Hao Ye <hye@ucsd.edu>

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Package modes updated to version 0.7.0 with previous version 0.6.1 dated 2016-02-06

Title: Find the Modes and Assess the Modality of Complex and Mixture Distributions, Especially with Big Datasets
Description: Designed with a dual purpose of accurately estimating the mode (or modes) as well as characterizing the modality of data. The specific application area includes complex or mixture distributions particularly in a big data environment. The heterogeneous nature of (big) data may require deep introspective statistical and machine learning techniques, but these statistical tools often fail when applied without first understanding the data. In small datasets, this often isn't a big issue, but when dealing with large scale data analysis or big data thoroughly inspecting each dimension typically yields an O(n^n-1) problem. As such, dealing with big data require an alternative toolkit. This package not only identifies the mode or modes for various data types, it also provides a programmatic way of understanding the modality (i.e. unimodal, bimodal, etc.) of a dataset (whether it's big data or not). See <http://www.sdeevi.com/modes_package> for examples and discussion.
Author: Sathish Deevi [aut, cre], 4D Strategies [aut,own]
Maintainer: Sathish Deevi <SathishCDeevi@gmail.com>

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Package mirt updated to version 1.16 with previous version 1.15 dated 2016-01-21

Title: Multidimensional Item Response Theory
Description: Analysis of dichotomous and polytomous response data using unidimensional and multidimensional latent trait models under the Item Response Theory paradigm. Exploratory and confirmatory models can be estimated with quadrature (EM) or stochastic (MHRM) methods. Confirmatory bi-factor and two-tier analyses are available for modeling item testlets. Multiple group analysis and mixed effects designs also are available for detecting differential item and test functioning as well as modelling item and person covariates.
Author: Phil Chalmers [aut, cre, cph], Joshua Pritikin [ctb], Alexander Robitzsch [ctb], Mateusz Zoltak [ctb], KwonHyun Kim [ctb], Carl F. Falk [ctb]
Maintainer: Phil Chalmers <rphilip.chalmers@gmail.com>

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Package DescTools updated to version 0.99.16 with previous version 0.99.15 dated 2015-10-25

Title: Tools for Descriptive Statistics
Description: A collection of basic statistic functions and convenience wrappers for efficiently describing data. The author's intention was to create a toolbox, which facilitates the (notoriously time consuming) first descriptive tasks in data analysis, consisting of calculating descriptive statistics, drawing graphical summaries and reporting the results. The package contains furthermore functions to produce documents using MS Word (or PowerPoint) and functions to import data from Excel. Many of the included functions can be found scattered in other packages and other sources written partly by Titans of R. The reason for collecting them here, was primarily to have them consolidated in ONE instead of dozens of packages (which themselves might depend on other packages which are not needed at all), and to provide a common and consistent interface as far as function and arguments naming, NA handling, recycling rules etc. are concerned. Google style guides were used as naming rules (in absence of convincing alternatives). The 'camel style' was consequently applied to functions borrowed from contributed R packages as well.
Author: Andri Signorell. Includes R source code and/or documentation previously published by (in alphabetical order): Ken Aho, Nanina Anderegg, Tomas Aragon, Antti Arppe, Adrian Baddeley, Ben Bolker, Frederico Caeiro, Stephane Champely, Daniel Chessel, Leanne Chhay, Clint Cummins, Michael Dewey, Harold C. Doran, Stephane Dray, Charles Dupont, Dirk Eddelbuettel, Jeff Enos, Claus Ekstrom, Martin Elff, Kamil Erguler, Richard W. Farebrother, John Fox, Michael Friendly, Tal Galili, Matthias Gamer, Joseph L. Gastwirth, Yulia R. Gel, Juergen Gross, Gabor Grothendieck, Frank E. Harrell Jr, Richard Heiberger, Michael Hoehle, Christian W. Hoffmann, Torsten Hothorn, Markus Huerzeler, Wallace W. Hui, Pete Hurd, Rob J. Hyndman, Pablo J. Villacorta Iglesias, Matthias Kohl, Mikko Korpela, Max Kuhn, Detlew Labes, Friederich Leisch, Jim Lemon, Dong Li, Martin Maechler, Arni Magnusson, Daniel Malter, George Marsaglia, John Marsaglia, Alina Matei, David Meyer, Weiwen Miao, Giovanni Millo, Yongyi Min, David Mitchell, Markus Naepflin, Daniel Navarro, Klaus Nordhausen, Derek Ogle, Hong Ooi, Nick Parsons, Sandrine Pavoine, Tony Plate, Roland Rapold, William Revelle, Tyler Rinker, Brian D. Ripley, Caroline Rodriguez, Venkatraman E. Seshan, Greg Snow, Michael Smithson, Werner A. Stahel, Mark Stevenson, Terry Therneau, Yves Tille, Adrian Trapletti, Kevin Ushey, Jeremy VanDerWal, Bill Venables, John Verzani, Gregory R. Warnes, Stefan Wellek, Rand R. Wilcox, Peter Wolf, Daniel Wollschlaeger, Thomas Yee, Achim Zeileis
Maintainer: Andri Signorell <andri@signorell.net>

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Package dpmr updated to version 0.1.9 with previous version 0.1.7-1 dated 2015-05-22

Title: Data Package Manager for R
Description: Create, install, and summarise data packages that follow the Open Knowledge Foundation's Data Package Protocol.
Author: Christopher Gandrud [aut, cre], Yann-Ael Le Borgne [ctb]
Maintainer: Christopher Gandrud <christopher.gandrud@gmail.com>

Diff between dpmr versions 0.1.7-1 dated 2015-05-22 and 0.1.9 dated 2016-03-07

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Package conformal updated to version 0.2 with previous version 0.1 dated 2015-01-21

Title: Conformal Prediction for Regression and Classification
Description: Implementation of conformal prediction using caret models for classification and regression.
Author: Isidro Cortes <isidrolauscher@gmail.com>
Maintainer: Isidro Cortes <isidrolauscher@gmail.com>

Diff between conformal versions 0.1 dated 2015-01-21 and 0.2 dated 2016-03-07

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Package cdfquantreg updated to version 1.0.3 with previous version 1.0.2 dated 2016-02-06

Title: Quantile Regression for Random Variables on the Unit Interval
Description: Employs a two-parameter family of distributions for modelling random variables on the (0, 1) interval by applying the cumulative distribution function (cdf) of one parent distribution to the quantile function of another.
Author: Yiyun Shou [aut, cre], Michael Smithson [aut]
Maintainer: Yiyun Shou <yiyun.shou@anu.edu.au>

Diff between cdfquantreg versions 1.0.2 dated 2016-02-06 and 1.0.3 dated 2016-03-07

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Package assertive.types updated to version 0.0-2 with previous version 0.0-1 dated 2015-10-06

Title: Assertions to Check Types of Variables
Description: A set of predicates and assertions for checking the types of variables. This is mainly for use by other package developers who want to include run-time testing features in their own packages. End-users will usually want to use assertive directly.
Author: Richard Cotton [aut, cre]
Maintainer: Richard Cotton <richierocks@gmail.com>

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Sun, 06 Mar 2016

Package umx updated to version 1.1.5 with previous version 1.1.1 dated 2016-02-07

Title: Structural Equation Modelling in R with OpenMx
Description: Create, run, and report structural equation and twin models quickly. If you're just starting out, try typing ?umx.
Author: Timothy C Bates [aut, cre]
Maintainer: Timothy C Bates <timothy.c.bates@gmail.com>

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New package vqtl with initial version 1.0
Package: vqtl
Type: Package
Title: Genome Scans to Accommodate and Target Genetic and Non-Genetic Effects on Trait Variance
Version: 1.0
Date: 2016-03-04
Author: Robert Corty
Maintainer: Robert Corty <rcorty@gmail.com>
Description: In recognition that there are many factors (genetic loci, macro-genetic factors such as sex, and environmental factors) that influence the environmental variation, the 'vqtl' package conducts genome scans that accommodate and target these factors. The main functions of this package, scanonevar() and scanonevar.perm() take as input a cross object from the popular 'qtl' package.
Depends: R (>= 2.14.0), dglm, evd, dplyr, qtl
Imports: RColorBrewer, gtools, stringr, plyr, scales, graphics, grDevices
License: GPL-3
LazyData: TRUE
NeedsCompilation: no
Packaged: 2016-03-06 18:47:06 UTC; rcorty
Repository: CRAN
Date/Publication: 2016-03-07 01:01:40

More information about vqtl at CRAN
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Package toOrdinal updated to version 0.0-6 with previous version 0.0-4 dated 2015-07-24

Title: Function for Converting Cardinal to Ordinal Numbers by Adding a Language Specific Ordinal Indicator to the Number
Description: Function for converting cardinal to ordinal numbers by adding a language specific ordinal indicator (http://en.wikipedia.org/wiki/Ordinal_indicator) to the number.
Author: Damian W. Betebenner [aut, cre], Andrew Martin [ctb], Jeff Erickson [ctb]
Maintainer: Damian W. Betebenner <dbetebenner@nciea.org>

Diff between toOrdinal versions 0.0-4 dated 2015-07-24 and 0.0-6 dated 2016-03-06

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Package SimReg updated to version 1.4 with previous version 1.3 dated 2016-01-13

Title: Similarity Regression Functions
Description: Functions for performing Bayesian `similarity regression', specialised for modelling the association between a HPO-encoded phenotype and binary genotype. A `no association' model is compared with one in which the log odds of having a rare genotype is linked to the semantic similarity between patient phenotype and a latent characteristic phenotype. The method estimates the probability of an association together with an HPO-coded phenotype characteristic of the disease.
Author: Daniel Greene
Maintainer: Daniel Greene <dg333@cam.ac.uk>

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Package phytools updated to version 0.5-20 with previous version 0.5-10 dated 2015-12-10

Title: Phylogenetic Tools for Comparative Biology (and Other Things)
Description: Package contains various functions for phylogenetic analysis. This functionality is concentrated in the phylogenetic analysis of comparative data from species. For example, the package includes functions for Bayesian and ML ancestral state estimation; visual simulation of trait evolution; fitting models of trait evolution with multiple Brownian rates and correlations; visualizing discrete and continuous character evolution using colors or projections into trait space; identifying the location of a change in the rate of character evolution on the tree; fast Brownian motion simulation and simulation under several other models of continuous trait evolution; fitting a model of correlated binary trait evolution; locating the position of a fossil or an recently extinct lineage on a tree using continuous character data with ML; plotting lineage accumulation through time, including across multiple trees (such as a Bayesian posterior sample); conducting an analysis called stochastic character mapping, in which character histories for a discrete trait are sampled from their posterior probability distribution under a model; conducting a multiple (i.e., partial) Mantel test; fitting a phylogenetic regression model with error in predictor and response variables; conducting a phylogenetic principal components analysis, a phylogenetic regression, a reduced major axis regression, a phylogenetic canonical correlation analysis, and a phylogenetic ANOVA; projecting a tree onto a geographic map; simulating discrete character histories on the tree; and fitting a model in which a discrete character evolves under the threshold model. In addition to this phylogenetic comparative method functionality, the package also contains functions for a wide range of other purposes in phylogenetic biology. For instance, functionality in this package includes (but is not restricted to): adding taxa to a tree (including randomly, everywhere, or automatically to genera); generating all bi- and multi-furcating trees for a set of taxa; reducing a phylogeny to its backbone tree; dropping tips or adding tips to special types of phylogenetic trees; exporting a tree as an XML file; converting a tree with a mapped character to a tree with singleton nodes and one character state per edge; estimating a phylogeny using the least squares method; simulating birth-death trees under a range of conditions; rerooting trees; a wide range of visualizations of trees; and a variety of other manipulations and analyses that phylogenetic biologists may find useful for their research.
Author: Liam J. Revell
Maintainer: Liam J. Revell <liam.revell@umb.edu>

Diff between phytools versions 0.5-10 dated 2015-12-10 and 0.5-20 dated 2016-03-06

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More information about phytools at CRAN
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Package mvSLOUCH updated to version 1.3 with previous version 1.2.2 dated 2016-02-02

Title: Multivariate Stochastic Linear Ornstein-Uhlenbeck Models for Phylogenetic Comparative Hypotheses
Description: Fits multivariate Ornstein-Uhlenbeck types of models to continues trait data from species related by a common evolutionary history.
Author: Krzysztof Bartoszek <bartoszekkj@gmail.com>
Maintainer: Krzysztof Bartoszek <bartoszekkj@gmail.com>

Diff between mvSLOUCH versions 1.2.2 dated 2016-02-02 and 1.3 dated 2016-03-06

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Package mrMLM updated to version 1.1 with previous version 1.0 dated 2016-02-26

Title: Multilocus Random Mixed Linear Model for Genome-Wide Association Study
Description: Conduct multi-locus random-SNP-effect mixed linear model analysis for genome-wide association study. First, each marker is scanned using random-SNP-effect mixed linear model method. Then, all the markers selected from the first step are included in the multi-locus model and their effects are estimated by an EM empirical Bayes method. No multiple test correction is needed.
Author: Wenlong Ren,Shibo Wang and Yuanming Zhang
Maintainer: Yuanming Zhang<soyzhang@mail.hzau.edu.cn>

Diff between mrMLM versions 1.0 dated 2016-02-26 and 1.1 dated 2016-03-06

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More information about mrMLM at CRAN
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Package lmms updated to version 1.3.3 with previous version 1.3 dated 2015-07-17

Title: Linear Mixed Effect Model Splines for Modelling and Analysis of Time Course Data
Description: Linear Mixed effect Model Splines ('lmms') implements linear mixed effect model splines for modelling and differential expression for highly dimensional data sets: investNoise() for quality control and filterNoise() for removing non-informative trajectories; lmmSpline() to model time course expression profiles and lmmsDE() performs differential expression analysis to identify differential expression between groups, time and/or group x time interaction.
Author: Jasmin Straube [aut, cre], Kim-Anh Le Cao [aut], Emma Huang [aut], Dominique Gorse [ctb]
Maintainer: Jasmin Straube <j.straube@qfab.org>

Diff between lmms versions 1.3 dated 2015-07-17 and 1.3.3 dated 2016-03-06

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Package enveomics.R updated to version 1.0.1 with previous version 1.0.0 dated 2016-01-12

Title: Various R Functions from the Kostas Lab
Description: A collection of R functions of common use in the Kostas Lab for microbial ecology.
Author: Luis M. Rodriguez-R [aut, cre]
Maintainer: Luis M. Rodriguez-R <lmrodriguezr@gmail.com>

Diff between enveomics.R versions 1.0.0 dated 2016-01-12 and 1.0.1 dated 2016-03-06

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More information about enveomics.R at CRAN
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Package CountsEPPM updated to version 2.1 with previous version 2.0 dated 2014-11-01

Title: Mean and Variance Modeling of Count Data
Description: Modeling under- and over-dispersed count data using extended Poisson process models (EPPM).
Author: David M Smith, Malcolm J Faddy
Maintainer: David M. Smith <david.m.smith@truvenhealth.com>

Diff between CountsEPPM versions 2.0 dated 2014-11-01 and 2.1 dated 2016-03-06

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More information about CountsEPPM at CRAN
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Package capm updated to version 0.9.1 with previous version 0.9.0 dated 2015-12-06

Title: Companion Animal Population Management
Description: Quantitative analysis to support companion animal population management.
Author: Oswaldo Santos Baquero [aut, cre], Marcos Amaku [ctb], Fernando Ferreira [ctb]
Maintainer: Oswaldo Santos Baquero <oswaldosant@gmail.com>

Diff between capm versions 0.9.0 dated 2015-12-06 and 0.9.1 dated 2016-03-06

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More information about capm at CRAN
Permanent link

Package assertive.base updated to version 0.0-4 with previous version 0.0-3 dated 2015-10-08

Title: A Lightweight Core of the 'assertive' Package
Description: A minimal set of predicates and assertions used by the assertive package. This is mainly for use by other package developers who want to include run-time testing features in their own packages. End-users will usually want to use assertive directly.
Author: Richard Cotton [aut, cre], Sunkyu Choi [trl], Ivanka Skakun [trl], Gergely Dar<c3><b3>czi [trl], Anton Antonov [trl], Hisham Ben Hamidane [trl], Anja Billing [trl], Aditya Bhagwat [trl], Rasmus B<c3><a5><c3><a5>th [trl], Mine Cetinkaya-Rundel [trl], Aspasia Chatziefthymiou [trl]
Maintainer: Richard Cotton <richierocks@gmail.com>

Diff between assertive.base versions 0.0-3 dated 2015-10-08 and 0.0-4 dated 2016-03-06

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More information about assertive.base at CRAN
Permanent link

Package archiDART updated to version 1.3 with previous version 1.2 dated 2015-12-22

Title: Plant Root System Architecture Analysis Using DART and RSML Files
Description: Analysis of complex plant root system architectures (RSA) using the output files created by Data Analysis of Root Tracings (DART), an open-access software dedicated to the study of plant root architecture and development across time series (Le Bot et al (2010) DART: a software to analyse root system architecture and development from captured images, Plant and Soil, DOI: 10.1007/s11104-009-0005-2), and RSA data encoded with the Root System Markup Language (RSML) (Lobet et al (2015) Root System Markup Language: toward a unified root architecture description language, Plant Physiology, DOI: 10.1104/pp.114.253625). More information can be found in Delory et al (2016) archiDART: an R package for the automated computation of plant root architectural traits, Plant and Soil, DOI: 10.1007/s11104-015-2673-4.
Author: Benjamin M Delory, Caroline Baudson, Yves Brostaux, Guillaume Lobet, Patrick du Jardin, Loic Pages, Pierre Delaplace
Maintainer: Benjamin M Delory <Benjamin.Delory@leuphana.de>

Diff between archiDART versions 1.2 dated 2015-12-22 and 1.3 dated 2016-03-06

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More information about archiDART at CRAN
Permanent link

Package R.matlab updated to version 3.5.0 with previous version 3.4.0 dated 2016-02-03

Title: Read and Write MAT Files and Call MATLAB from Within R
Description: Methods readMat() and writeMat() for reading and writing MAT files. For user with MATLAB v6 or newer installed (either locally or on a remote host), the package also provides methods for controlling MATLAB (trademark) via R and sending and retrieving data between R and MATLAB.
Author: Henrik Bengtsson [aut, cre, cph], Andy Jacobson [ctb] (Internal MAT v4 reader), Jason Riedy [ctb] (Support for reading compressed files, sparse matrices and UTF-encoded strings.)
Maintainer: Henrik Bengtsson <henrikb@braju.com>

Diff between R.matlab versions 3.4.0 dated 2016-02-03 and 3.5.0 dated 2016-03-06

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More information about R.matlab at CRAN
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Package rlist updated to version 0.4.6 with previous version 0.4.5.1 dated 2015-09-09

Title: A Toolbox for Non-Tabular Data Manipulation
Description: Provides a set of functions for data manipulation with list objects, including mapping, filtering, grouping, sorting, updating, searching, and other useful functions. Most functions are designed to be pipeline friendly so that data processing with lists can be chained.
Author: Kun Ren <ken@renkun.me>
Maintainer: Kun Ren <ken@renkun.me>

Diff between rlist versions 0.4.5.1 dated 2015-09-09 and 0.4.6 dated 2016-03-06

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More information about rlist at CRAN
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New package jrich with initial version 0.60-35
Package: jrich
Version: 0.60-35
Date: 2016-02-29
Title: Jack-Knife Support for Evolutionary Distinctiveness Indices I and W
Author: Daniel R. Miranda-Esquivel
Maintainer: Daniel R. Miranda-Esquivel <dmiranda@uis.edu.co>
Depends: ape
Description: These functions calculate the taxonomic measures presented in Miranda-Esquivel (2016). The package introduces Jack-knife resampling in evolutionary distinctiveness prioritization analysis, as a way to evaluate the support of the ranking in area prioritization, and the persistence of a given area in a conservation analysis. The algorithm is described in: Miranda-Esquivel, D (2016) <DOI:10.1007/978-3-319-22461-9_11>.
License: GPL-3
URL: https://github.com/Dmirandae/jrich
BugReports: https://github.com/Dmirandae/jrich/issues
LazyData: false
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-03-06 04:22:27 UTC; rafael
Repository: CRAN
Date/Publication: 2016-03-06 17:50:38

More information about jrich at CRAN
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Package textmineR updated to version 1.6.0 with previous version 1.5.1 dated 2015-12-31

Title: Functions for Text Mining and Topic Modeling
Description: An aid for text mining in R, with a syntax that is more familiar to experienced R users. Also, implements various functions related to topic modeling. It works well with with the "lda" package by J. Chang.
Author: "Thomas W. Jones <jones.thos.w@gmail.com>"
Maintainer: Thomas W. Jones <jones.thos.w@gmail.com>

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Package rneos updated to version 0.3-1 with previous version 0.2-8 dated 2014-12-28

Title: XML-RPC Interface to NEOS
Description: Within this package the XML-RPC API to NEOS is implemented. This enables the user to pass optimization problems to NEOS and retrieve results within R.
Author: Bernhard Pfaff [aut, cre]
Maintainer: Bernhard Pfaff <bernhard@pfaffikus.de>

Diff between rneos versions 0.2-8 dated 2014-12-28 and 0.3-1 dated 2016-03-06

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Package refGenome updated to version 1.6.0 with previous version 1.5.8 dated 2015-07-28

Title: Gene and Splice Site Annotation Using Annotation Data from Ensembl and UCSC Genome Browsers
Description: Contains functionality for import and managing of downloaded genome annotation Data from Ensembl genome browser (European Bioinformatics Institute) and from UCSC genome browser (University of California, Santa Cruz) and annotation routines for genomic positions and splice site positions.
Author: Wolfgang Kaisers
Maintainer: Wolfgang Kaisers <kaisers@med.uni-duesseldorf.de>

Diff between refGenome versions 1.5.8 dated 2015-07-28 and 1.6.0 dated 2016-03-06

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Package rDEA updated to version 1.2-3 with previous version 1.2-2 dated 2015-08-04

Title: Robust Data Envelopment Analysis (DEA) for R
Description: Data Envelopment Analysis for R, estimating robust DEA scores without and with environmental variables and doing returns-to-scale tests.
Author: Jaak Simm [aut, cre], Galina Besstremyannaya [aut]
Maintainer: Jaak Simm <jaak.simm@gmail.com>

Diff between rDEA versions 1.2-2 dated 2015-08-04 and 1.2-3 dated 2016-03-06

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Package MIIVsem updated to version 0.4.6 with previous version 0.4.5 dated 2016-03-04

Title: Model Implied Instrumental Variable (MIIV) Estimation of Structural Equation Models
Description: Functions for estimating structural equation models using model- implied instrumental variables.
Author: Zachary Fisher, Ken Bollen, Kathleen Gates, and Mikko Rönkkö.
Maintainer: Zachary Fisher <fish.zachary@gmail.com>

Diff between MIIVsem versions 0.4.5 dated 2016-03-04 and 0.4.6 dated 2016-03-06

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Package eyetrackingR updated to version 0.1.5 with previous version 0.1.4 dated 2016-01-26

Title: Eye-Tracking Data Analysis
Description: A set of tools that address tasks along the pipeline from raw data to analysis and visualization for eye-tracking data. Offers several popular types of analyses, including linear and growth curve time analyses, onset-contingent reaction time analyses, as well as several non-parametric bootstrapping approaches.
Author: Jacob Dink [aut, cre], Brock Ferguson [aut]
Maintainer: Jacob Dink <jacobwdink@gmail.com>

Diff between eyetrackingR versions 0.1.4 dated 2016-01-26 and 0.1.5 dated 2016-03-06

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Package deldir updated to version 0.1-12 with previous version 0.1-9 dated 2015-03-09

Title: Delaunay Triangulation and Dirichlet (Voronoi) Tessellation
Description: Calculates the Delaunay triangulation and the Dirichlet or Voronoi tessellation (with respect to the entire plane) of a planar point set. Plots triangulations and tessellations in various ways. Clips tessellations to sub-windows. Calculates perimeters of tessellations.
Author: Rolf Turner
Maintainer: Rolf Turner <r.turner@auckland.ac.nz>

Diff between deldir versions 0.1-9 dated 2015-03-09 and 0.1-12 dated 2016-03-06

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Package cowplot updated to version 0.6.1 with previous version 0.6.0 dated 2015-12-19

Title: Streamlined Plot Theme and Plot Annotations for 'ggplot2'
Description: Some helpful extensions and modifications to the 'ggplot2' library. In particular, this package makes it easy to combine multiple 'ggplot2' plots into one and label them with letters, e.g. A, B, C, etc., as is often required for scientific publications. The package also provides a streamlined and clean theme that is used in the Wilke lab, hence the package name, which stands for Claus O. Wilke's plot library.
Author: Claus O. Wilke [aut, cre], Hadley Wickham [cph]
Maintainer: Claus O. Wilke <wilke@austin.utexas.edu>

Diff between cowplot versions 0.6.0 dated 2015-12-19 and 0.6.1 dated 2016-03-06

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Package comf updated to version 0.1.1 with previous version 0.1 dated 2016-03-04

Title: Calculation of Thermal Comfort Indices
Description: Functions to calculate various common and less common thermal comfort indices.
Author: Marcel Schweiker [aut, cre] and Sophia Mueller [aut] and michael Kleber [ctr] and Boris Kingma [ctr] and masanori Shukuya [ctr]
Maintainer: Marcel Schweiker <marcel.schweiker@kit.edu>

Diff between comf versions 0.1 dated 2016-03-04 and 0.1.1 dated 2016-03-06

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Package assertive.strings updated to version 0.0-2 with previous version 0.0-1 dated 2015-10-06

Title: Assertions to Check Properties of Strings
Description: A set of predicates and assertions for checking the properties of strings. This is mainly for use by other package developers who want to include run-time testing features in their own packages. End-users will usually want to use assertive directly.
Author: Richard Cotton [aut, cre]
Maintainer: Richard Cotton <richierocks@gmail.com>

Diff between assertive.strings versions 0.0-1 dated 2015-10-06 and 0.0-2 dated 2016-03-06

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Package assertive.reflection updated to version 0.0-2 with previous version 0.0-1 dated 2015-10-06

Title: Assertions for Checking the State of R
Description: A set of predicates and assertions for checking the state and capabilities of R, the operating system it is running on, and the IDE being used. This is mainly for use by other package developers who want to include run-time testing features in their own packages. End-users will usually want to use assertive directly.
Author: Richard Cotton [aut, cre]
Maintainer: Richard Cotton <richierocks@gmail.com>

Diff between assertive.reflection versions 0.0-1 dated 2015-10-06 and 0.0-2 dated 2016-03-06

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Sat, 05 Mar 2016

Package markovchain updated to version 0.4.3.1 with previous version 0.4.3 dated 2015-11-26

Title: Easy Handling Discrete Time Markov Chains
Description: Functions and S4 methods to create and manage discrete time Markov chains (DTMC) more easily. In addition functions to perform statistical (fitting and drawing random variates) and probabilistic (analysis of DTMC proprieties) analysis are provided.
Author: Giorgio Alfredo Spedicato [aut,cre], Tae Seung Kang [aut], Sai Bhargav Yalamanchi [aut], Mildenberger Thoralf [ctb]
Maintainer: Giorgio Alfredo Spedicato <spedicato_giorgio@yahoo.it>

Diff between markovchain versions 0.4.3 dated 2015-11-26 and 0.4.3.1 dated 2016-03-05

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Package h5 updated to version 0.9.5 with previous version 0.9.4 dated 2015-10-12

Title: Interface to the 'HDF5' Library
Description: S4 Interface to the 'HDF5' library supporting fast storage and retrieval of R-objects like vectors, matrices and arrays to binary files in a language independent format. The 'HDF5' format can therefore be used as an alternative to R's save/load mechanism. Since h5 is able to access only subsets of stored data it can also handle data sets which do not fit into memory.
Author: Mario Annau [aut, cre]
Maintainer: Mario Annau <mario.annau@gmail.com>

Diff between h5 versions 0.9.4 dated 2015-10-12 and 0.9.5 dated 2016-03-05

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New package rEDM with initial version 0.4.4
Package: rEDM
Type: Package
Title: Applications of Empirical Dynamic Modeling from Time Series
Version: 0.4.4
Date: 2016-03-04
Author: Hao Ye, Adam Clark, Ethan Deyle
Maintainer: Hao Ye <hye@ucsd.edu>
Description: Contains C++ compiled objects that use time delay embedding to perform state-space reconstruction and nonlinear forecasting and an R interface to those objects using 'Rcpp'. It supports both the simplex projection method from Sugihara & May (1990) <DOI:10.1038/344734a0> and the S-map algorithm in Sugihara (1994) <DOI:10.1098/rsta.1994.0106>. In addition, this package implements convergent cross mapping as described by Sugihara et al. (2012) <DOI:10.1126/science.1227079>.
License: GPL-3 | file LICENSE
NeedsCompilation: yes
Imports: Rcpp (>= 0.11.5), methods
LinkingTo: Rcpp
RcppModules: lnlp_module, block_lnlp_module, ccm_module
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
Packaged: 2016-03-05 00:23:31 UTC; hye
Repository: CRAN
Date/Publication: 2016-03-05 09:14:34

More information about rEDM at CRAN
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Package PGRdup updated to version 0.2.2 with previous version 0.2.1 dated 2015-07-23

Title: Discover Probable Duplicates in Plant Genetic Resources Collections
Description: Provides functions to aid the identification of probable/possible duplicates in Plant Genetic Resources (PGR) collections using 'passport databases' comprising of information records of each constituent sample. These include methods for cleaning the data, creation of a searchable Key Word in Context (KWIC) index of keywords associated with sample records and the identification of nearly identical records with similar information by fuzzy, phonetic and semantic matching of keywords.
Author: J. Aravind [aut, cre], J. Radhamani [aut], Kalyani Srinivasan [aut], B. Ananda Subhash [aut], R. K. Tyagi [aut]
Maintainer: J. Aravind <j.aravind@icar.gov.in>

Diff between PGRdup versions 0.2.1 dated 2015-07-23 and 0.2.2 dated 2016-03-05

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Package formatR updated to version 1.3 with previous version 1.2.1 dated 2015-09-18

Title: Format R Code Automatically
Description: Provides a function tidy_source() to format R source code. Spaces and indent will be added to the code automatically, and comments will be preserved under certain conditions, so that R code will be more human-readable and tidy. There is also a Shiny app as a user interface in this package (see tidy_app()).
Author: Yihui Xie
Maintainer: Yihui Xie <xie@yihui.name>

Diff between formatR versions 1.2.1 dated 2015-09-18 and 1.3 dated 2016-03-05

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Package birk updated to version 2.1.0 with previous version 2.0.0 dated 2016-01-18

Title: MA Birk's Functions
Description: Collection of tools to make R more convenient. Includes tools to convert between units and dimensions of measurement and to summarize data using statistics not available with base R.
Author: Matthew A. Birk
Maintainer: Matthew A. Birk <matthewabirk@gmail.com>

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Fri, 04 Mar 2016

Package SGP updated to version 1.5-0.0 with previous version 1.4-0.0 dated 2016-01-10

Title: Student Growth Percentiles & Percentile Growth Trajectories
Description: Functions to calculate student growth percentiles and percentile growth projections/trajectories for students using large scale, longitudinal assessment data. Functions use quantile regression to estimate the conditional density associated with each student's achievement history. Percentile growth projections/trajectories are calculated using the coefficient matrices derived from the quantile regression analyses and specify what percentile growth is required for students to reach future achievement targets.
Author: Damian W. Betebenner [aut, cre], Adam R. Van Iwaarden [aut], Ben Domingue [aut], Yi Shang [aut], Jonathan Weeks [ctb], John Stewart [ctb], Jinnie Choi [ctb], Xin Wei [ctb], Hi Shin Shim [ctb], Xiaoyuan Tan [ctb] (Arizona Department of Education), Carrie Giovannini [ctb] (Arizona Department of Education), Sarah Polasky [ctb] (Arizona State University), Rebecca Gau [ctb] (Arizona Charter School Association), Jeffrey Dean [ctb] (University of Arkansas), William Bonk [ctb] (Colorado Department of Education), Marie Huchton [ctb] (Colorado Department of Education), Allison Timberlake [ctb] (Georgia Department of Education), Qi Qin [ctb] (Georgia Department of Education), Melissa Fincher [ctb] (Georgia Department of Education), Kiran Athota [ctb] (Georgia Department of Education), Travis Allen [ctb] (Georgia Department of Education), Glenn Hirata [ctb] (Hawaii Department of Education), Glenn Nochi [ctb] (Hawaii Department of Education), Joshua Lee [ctb] (Hawaii Department of Education), Ayaka Nukui [ctb] (Idaho Department of Education), Carissa Miller [ctb] (Idaho Department of Education), Matthew Raimondi [ctb] (Elgin Area School District U46 (Illinois)), Wes Bruce [ctb] (Indiana Department of Education), Robert Hochsegang [ctb] (Indiana Department of Education), Tony Moss [ctb] (Kansas State Department of Education), Xuewen Sheng [ctb] (Kansas State Department of Education), Kathy Flanagan [ctb] (Massachusetts Department of Elementary and Secondary Education), Robert Lee [ctb] (Massachusetts Department of Elementary and Secondary Education), Ji Zeng [ctb] (Michigan Department of Education), Steve Viger [ctb] (Michigan Department of Education), Joe DeCastra [ctb] (Mississippi Department of Education), Ken Thompson [ctb] (Mississippi Department of Education), Soo Yeon Cho [ctb] (Missouri Department of Education), Jeff Halsell [ctb] (Clark County School District, Nevada), Selcuk Ozdemir [ctb] (Washoe County School District, Nevada), Roger Silva [ctb] (Nevada Department of Education), Deb Wiswell [ctb] (New Hampshire Department of Education), Katya Levitan-Reiner [ctb] (New Haven Public Schools), Catherine McCaslin [ctb] (New Haven Public Schools), Joshua Marland [ctb] (New York Education Department), W Joshua Rew [ctb] (Oregon Department of Education), Jason Becker [ctb] (Rhode Island Department of Education), Jessica Bailey [ctb] (Rhode Island Department of Education), Ana Karantonis [ctb] (Rhode Island Department of Education), Deborah Jonas [ctb] (Virginia Department of Education), Juan D'Brot [ctb] (West Virginia Department of Education), Nate Hixson [ctb] (West Virginia Department of Education), Deb Came [ctb] (Washington Office of Superintendent of Public Instruction), Ashley Colburn [ctb] (Washington Office of Superintendent of Public Instruction), Nick Hassell [ctb] (Washington Office of Superintendent of Public Instruction), Krissy Johnson [ctb] (Washington Office of Superintendent of Public Instruction), Daniel Bush [ctb] (Wisconsin Department of Education), Justin Meyer [ctb] (Wisconsin Department of Education), Joseph Newton [ctb] (Wisconsin Department of Education), Nick Stroud [ctb] (Wisconsin Department of Education), John Paul [ctb] (Wyoming Department of Education), Michael Flicek [ctb] (Michael Flicek Projects LLC working with Wyoming Department of Education), Phyllis Clay [ctb] (Albuquerque Public Schools), Peter Kinyua [ctb] (Albuquerque Public Schools), Brendan Houng [ctb] (University of Melbourne, Australia, NAPLAN), Leslie Rosale [ctb] (Ministry of Education, Guatemala), Nathan Wall [ctb] (eMetric working with Nevada Department of Education and South Dakota Department of Education), Narek Sahakyan [ctb] (World Class Instruction and Design (WIDA))
Maintainer: Damian W. Betebenner <dbetebenner@nciea.org>

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Package palinsol updated to version 0.93 with previous version 0.92 dated 2014-04-04

Title: Insolation for Palaeoclimate Studies
Description: R package to compute Incoming Solar Radiation (insolation) for palaeoclimate studies. Features three solutions: Berger (1978), Berger and Loutre (1991) and Laskar et al. (2004). Computes daily-mean, season-averaged and annual means for all latitudes.
Author: Michel Crucifix
Maintainer: Michel Crucifix <michel.crucifix@uclouvain.be>

Diff between palinsol versions 0.92 dated 2014-04-04 and 0.93 dated 2016-03-04

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Package nlmrt updated to version 2016.3.2 with previous version 2013-9.25 dated 2014-12-05

Title: Functions for Nonlinear Least Squares Solutions
Description: Replacement for nls() tools for working with nonlinear least squares problems. The calling structure is similar to, but much simpler than, that of the nls() function. Moreover, where nls() specifically does NOT deal with small or zero residual problems, nlmrt is quite happy to solve them. It also attempts to be more robust in finding solutions, thereby avoiding 'singular gradient' messages that arise in the Gauss-Newton method within nls(). The Marquardt-Nash approach in nlmrt generally works more reliably to get a solution, though this may be one of a set of possibilities, and may also be statistically unsatisfactory. Added print and summary as of August 28, 2012.
Author: John C. Nash [aut, cre]
Maintainer: John C. Nash <nashjc@uottawa.ca>

Diff between nlmrt versions 2013-9.25 dated 2014-12-05 and 2016.3.2 dated 2016-03-04

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Package mlma updated to version 2.0-0 with previous version 1.0-0 dated 2015-10-31

Title: Multilevel Mediation Analysis
Description: Used for mediation analysis with generalized multilevel models.
Author: Qingzhao Yu, Bin Li
Maintainer: Qingzhao Yu <qyu@lsuhsc.edu>

Diff between mlma versions 1.0-0 dated 2015-10-31 and 2.0-0 dated 2016-03-04

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Package MIIVsem updated to version 0.4.5 with previous version 0.4.4 dated 2015-11-30

Title: Model Implied Instrumental Variable (MIIV) Estimation of Structural Equation Models
Description: Functions for estimating structural equation models using model- implied instrumental variables.
Author: Zachary Fisher, Ken Bollen, Kathleen Gates, and Mikko Rönkkö.
Maintainer: Zachary Fisher <fish.zachary@gmail.com>

Diff between MIIVsem versions 0.4.4 dated 2015-11-30 and 0.4.5 dated 2016-03-04

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New package kmlShape with initial version 0.9.5
Package: kmlShape
Type: Package
Title: K-Means for Longitudinal Data using Shape-Respecting Distance
Version: 0.9.5
Date: 2016-03-08
Authors@R: c(person("Christophe","Genolini",role=c("cre","aut"),email="christophe.genolini@u-paris10.fr"),person("Elie","Guichard",role=c("ctb")))
Description: K-means for longitudinal data using shape-respecting distance and shape-respecting means.
License: GPL (>= 2)
LazyData: yes
Depends: methods,class,longitudinalData,kml,lattice
URL: http:www.r-project.org
Collate: global.R plot.R clds.R reduceTraj.R distanceFrechet.R meanFrechet.R parKmlShape.R kmlShape.R
Encoding: latin1
KeepSource: TRUE
NeedsCompilation: yes
Packaged: 2016-03-04 21:25:18 UTC; Christophe
Author: Christophe Genolini [cre, aut], Elie Guichard [ctb]
Maintainer: Christophe Genolini <christophe.genolini@u-paris10.fr>
Repository: CRAN
Date/Publication: 2016-03-05 00:22:43

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Package geostatsp updated to version 1.4.0 with previous version 1.3.10 dated 2015-11-09

Title: Geostatistical Modelling with Likelihood and Bayes
Description: Geostatistical modelling facilities using Raster and SpatialPoints objects are provided. Non-Gaussian models are fit using INLA, and Gaussian geostatistical models use Maximum Likelihood Estimation.
Author: Patrick Brown <patrick.brown@utoronto.ca>[aut, cre], Robert Hijmans [ctb]
Maintainer: Patrick Brown <patrick.brown@utoronto.ca>

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Package gcerisk updated to version 16.1.2 with previous version 16.1.1 dated 2016-02-04

Title: Generalized Competing Event Model
Description: Generalized competing event model based on Cox PH model and Fine-Gray model. This function is designed to develop optimized risk-stratification methods for competing risks data, such as described in: 1. Carmona R, Gulaya S, Murphy JD, Rose BS, Wu J, Noticewala S,McHale MT, Yashar CM, Vaida F, and Mell LK.(2014) Validated competing event model for thestage I-II endometrial cancer population. Int J Radiat Oncol Biol Phys.89:888-98. <DOI:10.1016/j.ijrobp.2014.03.047>. 2. Carmona R, Zakeri K, Green G, Hwang L, Gulaya S, Xu B, Verma R, Williamson CW, Triplett DP, Rose BS, Shen H, Vaida F, Murphy JD, and Mell LK. (2016) Improved method to stratify elderly cancer patients at risk for competing events. J Clin Oncol.in press. <DOI:10.1200/JCO.2015.65.0739>.
Author: Hanjie Shen <has072@ucsd.edu>, Ruben Carmona <ruben.carmona13@gmail.com>, Loren Mell <lmell@ucsd.edu>
Maintainer: Hanjie Shen <shenhanjie0418@gmail.com>

Diff between gcerisk versions 16.1.1 dated 2016-02-04 and 16.1.2 dated 2016-03-04

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Package evaluate updated to version 0.8.3 with previous version 0.8 dated 2015-09-18

Title: Parsing and Evaluation Tools that Provide More Details than the Default
Description: Parsing and evaluation tools that make it easy to recreate the command line behaviour of R.
Author: Hadley Wickham [aut], Yihui Xie [cre, ctb], Michael Lawrence [ctb], Thomas Kluyver [ctb], Barret Schloerke [ctb]
Maintainer: Yihui Xie <xie@yihui.name>

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Package EGRET updated to version 2.4.3 with previous version 2.3.1 dated 2015-08-13

Title: Exploration and Graphics for RivEr Trends (EGRET)
Description: Statistics and graphics for streamflow history, water quality trends, and the statistical modeling algorithm: Weighted Regressions on Time, Discharge, and Season (WRTDS).
Author: Robert Hirsch [aut], Laura DeCicco [aut, cre]
Maintainer: Laura DeCicco <ldecicco@usgs.gov>

Diff between EGRET versions 2.3.1 dated 2015-08-13 and 2.4.3 dated 2016-03-04

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Package dataRetrieval updated to version 2.5.2 with previous version 2.3.1 dated 2015-08-14

Title: Retrieval Functions for USGS and EPA Hydrologic and Water Quality Data
Description: Collection of functions to help retrieve U.S. Geological Survey (USGS) and U.S. Environmental Protection Agency (EPA) water quality and hydrology data from web services. USGS web services are discovered from the National Water Information System (NWIS) tools. Both EPA and USGS water quality data are obtained from the Water Quality Portal.
Author: Robert Hirsch [aut], Laura DeCicco [aut, cre], David Lorenz [aut], Jordan Read [ctb], Lindsay Carr [ctb]
Maintainer: Laura DeCicco <ldecicco@usgs.gov>

Diff between dataRetrieval versions 2.3.1 dated 2015-08-14 and 2.5.2 dated 2016-03-04

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New package comf with initial version 0.1
Package: comf
Type: Package
Title: Calculation of Thermal Comfort Indices
Version: 0.1
Date: 2016-02-06
Author: Marcel Schweiker [aut, cre] and Sophia Mueller [aut] and michael Kleber [ctr] and Boris Kingma [ctr] and masanori Shukuya [ctr]
Maintainer: Marcel Schweiker <marcel.schweiker@kit.edu>
Description: Functions to calculate various common and less common thermal comfort indices.
License: GPL-2
LazyLoad: yes
Packaged: 2016-03-04 21:07:23 UTC; marcel@FBTA
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2016-03-05 00:26:24

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Package BEDMatrix updated to version 1.2.0 with previous version 1.1.0 dated 2015-11-30

Title: Matrices Backed by Binary PED Files (PLINK)
Description: A matrix-like data structure that allows for efficient, convenient, and scalable subsetting of binary genotype/phenotype files generated by PLINK (http://pngu.mgh.harvard.edu/~purcell/plink/), the whole genome association analysis toolset, without loading the entire file into memory.
Author: Alexander Grueneberg [aut, cre], Lian Lian [ctb], Gustavo de los Campos [ctb]
Maintainer: Alexander Grueneberg <alexander.grueneberg@googlemail.com>

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Package archivist updated to version 2.0.2 with previous version 2.0.1 dated 2016-02-21

Title: Tools for Storing, Restoring and Searching for R Objects
Description: Data exploration and modelling is a process in which a lot of data artifacts are produced. Artifacts like: subsets, data aggregates, plots, statistical models, different versions of data sets and different versions of results. The more projects we work with the more artifacts are produced and the harder it is to manage these artifacts. Archivist helps to store and manage artifacts created in R. Archivist allows you to store selected artifacts as a binary files together with their metadata and relations. Archivist allows to share artifacts with others, either through shared folder or github. Archivist allows to look for already created artifacts by using it's class, name, date of the creation or other properties. Makes it easy to restore such artifacts. Archivist allows to check if new artifact is the exact copy that was produced some time ago. That might be useful either for testing or caching.
Author: Przemyslaw Biecek [aut, cre], Marcin Kosinski [aut], Witold Chodor [ctb]
Maintainer: Przemyslaw Biecek <przemyslaw.biecek@gmail.com>

Diff between archivist versions 2.0.1 dated 2016-02-21 and 2.0.2 dated 2016-03-04

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 archivist-2.0.2/archivist/NAMESPACE                                                      |    1 
 archivist-2.0.2/archivist/NEWS.md                                                        |    7 
 archivist-2.0.2/archivist/R/aread.R                                                      |    4 
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 archivist-2.0.2/archivist/man/aformat.Rd                                                 |    4 
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 archivist-2.0.2/archivist/man/alink.Rd                                                   |    2 
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 archivist-2.0.2/archivist/man/aread.Rd                                                   |    6 
 archivist-2.0.2/archivist/man/asearch.Rd                                                 |    2 
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 archivist-2.0.2/archivist/man/cache.Rd                                                   |    2 
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 archivist-2.0.2/archivist/man/getTags.Rd                                                 |    4 
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 archivist-2.0.2/archivist/man/md5hash.Rd                                                 |    2 
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 archivist-2.0.2/archivist/man/setRepo.Rd                                                 |    4 
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 archivist-2.0.2/archivist/man/zipRepo.Rd                                                 |    4 
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Package viridisLite updated to version 0.1.2 with previous version 0.1.1 dated 2015-12-31

Title: Default Color Maps from 'matplotlib' (Lite Version)
Description: Port of the new 'matplotlib' color maps ('viridis' - the default -, 'magma', 'plasma' and 'inferno') to 'R'. 'matplotlib' <http://matplotlib.org/ > is a popular plotting library for 'python'. These color maps are designed in such a way that they will analytically be perfectly perceptually-uniform, both in regular form and also when converted to black-and-white. They are also designed to be perceived by readers with the most common form of color blindness. This is the 'lite' version of the more complete 'viridis' package that can be found at <https://cran.r-project.org/package=viridis>.
Author: Simon Garnier [aut, cre], Noam Ross [ctb, cph], Bob Rudis [ctb, cph]
Maintainer: Simon Garnier <garnier@njit.edu>

Diff between viridisLite versions 0.1.1 dated 2015-12-31 and 0.1.2 dated 2016-03-04

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Package viridis updated to version 0.3.3 with previous version 0.3.2 dated 2015-12-31

Title: Default Color Maps from 'matplotlib'
Description: Port of the new 'matplotlib' color maps ('viridis' - the default -, 'magma', 'plasma' and 'inferno') to 'R'. 'matplotlib' <http://matplotlib.org/ > is a popular plotting library for 'python'. These color maps are designed in such a way that they will analytically be perfectly perceptually-uniform, both in regular form and also when converted to black-and-white. They are also designed to be perceived by readers with the most common form of color blindness.
Author: Simon Garnier [aut, cre], Noam Ross [ctb, cph] (Continuous scale), Bob Rudis [ctb, cph] (Combined scales)
Maintainer: Simon Garnier <garnier@njit.edu>

Diff between viridis versions 0.3.2 dated 2015-12-31 and 0.3.3 dated 2016-03-04

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Package sourcetools updated to version 0.1.2 with previous version 0.1.1 dated 2016-03-04

Title: Tools for the Reading and Tokenization of R Code
Description: Tools for the reading and tokenization of R code. The 'sourcetools' package provides both an R and C++ interface for the tokenization of R code, and helpers for interacting with the tokenized representation of R code.
Author: Kevin Ushey
Maintainer: Kevin Ushey <kevinushey@gmail.com>

Diff between sourcetools versions 0.1.1 dated 2016-03-04 and 0.1.2 dated 2016-03-04

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Package qmethod updated to version 1.4.1 with previous version 1.4.0 dated 2016-01-15

Title: Analysis of Subjective Perspectives Using Q Methodology
Description: Analysis of Q methodology, used to identify distinct perspectives existing within a group. This methodology is used across social, health and environmental sciences to understand diversity of attitudes, discourses, or decision-making styles (for more information, see http://qmethod.org). A single function runs the full analysis. Each step can be run separately using the corresponding functions: for automatic flagging of Q-sorts (manual flagging is optional), for statement scores, for distinguishing and consensus statements, and for general characteristics of the factors. Additional functions are available to import and export data, to print and plot, to import raw data from individual *.CSV files, and to make printable cards. The package also offers functions to print Q cards and to generate Q distributions for study administration. The package uses principal components and it allows manual or automatic flagging, a number of mathematical methods for rotation, and a number of correlation coefficients for the initial correlation matrix. See further details in the package documentation, and in the web pages below, which include a cookbook, guidelines for more advanced analysis (how to perform manual flagging or change the sign of factors), data management, and a beta graphical user interface for online and offline use.
Author: Aiora Zabala [aut, cre] (Main author), Maximilian Held [aut] (Author of additional data management functions)
Maintainer: Aiora Zabala <aiora.zabala@gmail.com>

Diff between qmethod versions 1.4.0 dated 2016-01-15 and 1.4.1 dated 2016-03-04

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Package prcbench updated to version 0.3.1 with previous version 0.2.0 dated 2016-01-11

Title: Testing Workbench for Precision-Recall Curves
Description: A testing workbench for evaluating Precision-Recall curves under various conditions.
Author: Takaya Saito [aut, cre], Marc Rehmsmeier [aut]
Maintainer: Takaya Saito <takaya.saito@outlook.com>

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Package pdftools updated to version 0.2 with previous version 0.1 dated 2016-02-25

Title: Extract Text and Data from PDF Documents
Description: Utilities based on libpoppler for extracting text, fonts, attachments and metadata from a pdf file. Also implements rendering of PDF to bitmaps on supported platforms.
Author: Jeroen Ooms
Maintainer: Jeroen Ooms <jeroen.ooms@stat.ucla.edu>

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Package lintools updated to version 0.1.1.1 with previous version 0.1.0 dated 2016-01-22

Title: Manipulation of Linear Systems of (in)Equalities
Description: Variable elimination (Gaussian elimination, Fourier-Motzkin elimination), Moore-Penrose pseudoinverse, reduction to reduced row echelon form, value substitution, projecting a vector on the convex polytope described by a system of (in)equations, simplify systems by removing spurious columns and rows and collapse implied equalities, test if a matrix is totally unimodilar, compute variable ranges implied by linear (in)equalities.
Author: Mark van der Loo [aut, cre], Edwin de Jonge [aut]
Maintainer: Mark van der Loo <mark.vanderloo@gmail.com>

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More information about lintools at CRAN
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Package HMP updated to version 1.4.3 with previous version 1.4.2 dated 2016-01-15

Title: Hypothesis Testing and Power Calculations for Comparing Metagenomic Samples from HMP
Description: Using Dirichlet-Multinomial distribution to provide several functions for formal hypothesis testing, power and sample size calculations for human microbiome experiments.
Author: Patricio S. La Rosa, Elena Deych, Berkley Shands, William D. Shannon
Maintainer: Berkley Shands <rpackages@biorankings.com>

Diff between HMP versions 1.4.2 dated 2016-01-15 and 1.4.3 dated 2016-03-04

 DESCRIPTION       |    8 ++++----
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Package hda updated to version 0.2-14 with previous version 0.2-12 dated 2013-11-26

Title: Heteroscedastic Discriminant Analysis
Description: Functions to perform dimensionality reduction for classification if the covariance matrices of the classes are unequal.
Author: Gero Szepannek
Maintainer: Gero Szepannek <gero.szepannek@web.de>

Diff between hda versions 0.2-12 dated 2013-11-26 and 0.2-14 dated 2016-03-04

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Package qtl updated to version 1.39-5 with previous version 1.38-4 dated 2015-12-03

Title: Tools for Analyzing QTL Experiments
Description: Analysis of experimental crosses to identify genes (called quantitative trait loci, QTLs) contributing to variation in quantitative traits.
Author: Karl W Broman <kbroman@biostat.wisc.edu> and Hao Wu, with ideas from Gary Churchill and Saunak Sen and contributions from Danny Arends, Robert Corty, Timothee Flutre, Ritsert Jansen, Pjotr Prins, Lars Ronnegard, Rohan Shah, Laura Shannon, Quoc Tran, Aaron Wolen, and Brian Yandell
Maintainer: Karl W Broman <kbroman@biostat.wisc.edu>

Diff between qtl versions 1.38-4 dated 2015-12-03 and 1.39-5 dated 2016-03-04

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Package multiplex updated to version 1.8.1 with previous version 1.7.1 dated 2015-09-03

Title: Algebraic Tools for the Analysis of Multiple Social Networks
Description: Algebraic procedures for the analysis of multiple social networks are delivered with this package. Among other things, it is possible to create and manipulate multivariate network data with different formats, and there are effective ways available to treat multiple networks with routines that combine algebraic systems like the partially ordered semigroup or the semiring structure together with the relational bundles occurring in different types of multivariate network data sets. As well an algebraic approach for two-mode networks is made through Galois derivations between families of the pair of subsets.
Author: Antonio Rivero Ostoic [aut, cre]
Maintainer: Antonio Rivero Ostoic <multiplex@post.com>

Diff between multiplex versions 1.7.1 dated 2015-09-03 and 1.8.1 dated 2016-03-04

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New package Mondrian with initial version 1.0-0
Package: Mondrian
Type: Package
Title: A Simple Graphical Representation of the Relative Occurrence and Co-Occurrence of Events
Description: The unique function of this package allows representing in a single graph the relative occurrence and co-occurrence of events measured in a sample. As examples, the package was applied to describe the occurrence and co-occurrence of different species of bacterial or viral symbionts infecting arthropods at the individual level. The graphics allows determining the prevalence of each symbiont and the patterns of multiple infections (i.e. how different symbionts share or not the same individual hosts). We named the package after the famous painter as the graphical output recalls Mondrian’s paintings.
Version: 1.0-0
Date: 2016-03-04
Author: Aurélie Siberchicot, Delphine Charif, Gabriel Terraz and Fabrice Vavre
Maintainer: Aurélie Siberchicot <aurelie.siberchicot@univ-lyon1.fr>
Imports: RColorBrewer
License: GPL (>= 2.0)
LazyData: yes
Encoding: UTF-8
URL: https://github.com/aursiber/Mondrian
BugReports: https://github.com/aursiber/Mondrian/issues
NeedsCompilation: no
Packaged: 2016-03-04 14:55:19 UTC; aurelie
Repository: CRAN
Date/Publication: 2016-03-04 17:34:11

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Package SemiParBIVProbit updated to version 3.7 with previous version 3.6-1 dated 2015-12-07

Title: Semiparametric Copula Bivariate Regression Models
Description: Routines for fitting copula bivariate models for binary and continuous responses with linear and nonlinear effects in the presence of associated error equations, endogeneity, non-random sample selection or partial observability.
Author: Giampiero Marra <giampiero.marra@ucl.ac.uk> and Rosalba Radice <r.radice@bbk.ac.uk>
Maintainer: Giampiero Marra <giampiero.marra@ucl.ac.uk>

Diff between SemiParBIVProbit versions 3.6-1 dated 2015-12-07 and 3.7 dated 2016-03-04

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Package rvg updated to version 0.0.8 with previous version 0.0.7 dated 2016-02-24

Title: R Graphics Devices for Vector Graphics Output
Description: Vector Graphics devices for 'SVG', 'DrawingML' for Microsoft Word and 'DrawingML' for Microsoft PowerPoint.
Author: David Gohel [aut, cre], Bob Rudis [ctb] (the javascript code used by function set_attr), Francois Brunetti [ctb] (clipping algorithms)
Maintainer: David Gohel <david.gohel@ardata.fr>

Diff between rvg versions 0.0.7 dated 2016-02-24 and 0.0.8 dated 2016-03-04

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Package PBD updated to version 1.2 with previous version 1.1 dated 2015-09-29

Title: Protracted Birth-Death Model of Diversification
Description: Conducts maximum likelihood analysis and simulation of the protracted speciation model.
Author: Rampal S. Etienne
Maintainer: Rampal S. Etienne <r.s.etienne@rug.nl>

Diff between PBD versions 1.1 dated 2015-09-29 and 1.2 dated 2016-03-04

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Package MXM updated to version 0.7 with previous version 0.5 dated 2015-09-29

Title: Discovering Multiple, Statistically-Equivalent Signatures
Description: Feature selection methods for identifying minimal, statistically-equivalent and equally-predictive feature subsets. The package name 'MXM' stands for "Mens eX Machina", meaning "Mind from the Machine" in Latin.
Author: Ioannis Tsamardinos, Vincenzo Lagani, Giorgos Athineou, Michail Tsagris, Giorgos Borboudakis
Maintainer: Michail Tsagris <mtsagris@csd.uoc.gr>

Diff between MXM versions 0.5 dated 2015-09-29 and 0.7 dated 2016-03-04

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Package dotwhisker updated to version 0.2.0.5 with previous version 0.2.0.4 dated 2016-02-15

Title: Dot-and-Whisker Plots of Regression Results
Description: Quick and easy dot-and-whisker plots of regression results.
Author: Frederick Solt <frederick-solt@uiowa.edu>, Yue Hu <yue-hu-1@uiowa.edu>
Maintainer: Yue Hu <yue-hu-1@uiowa.edu>

Diff between dotwhisker versions 0.2.0.4 dated 2016-02-15 and 0.2.0.5 dated 2016-03-04

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Permanent link

New package ggraptR with initial version 0.1
Package: ggraptR
Type: Package
Title: Allows Interactive Visualization of Data Through a Web Browser GUI
Version: 0.1
Date: 2016-02-29
Authors@R: c(person("Eugene", "Dubossarsky", role=c("aut", "cph", "cre"),email="eugene@presciient.com"), person("Julius", "Neggo", role="ctb",comment="Lead Developer"), person("Howard", "Song", role="aut",comment="Developer"), person("Susan", "Wang", role="ctb",comment="Project Manager"), person("Jason", "Widjaja", role="ctb",comment="Vignette"), person("Jose", "Magana", role="ctb",comment="Package Manager and Developer"))
Description: Intended for both technical and non-technical users to create interactive data visualizations through a web browser GUI without writing any code.
License: GPL (>= 2)
Suggests: knitr
Depends: R (>= 3.1.0), ggplot2 (>= 1.0.1), ggthemes (>= 2.2.1), shinyjs (>= 0.2.0), shinyBS(>= 0.61)
Imports: shiny (>= 0.12.2), dplyr(>= 0.4.3), DT (>= 0.1), futile.logger (>= 1.4.1)
BugReports: https://github.com/cargomoose/raptR/issues
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-03-04 06:39:19 UTC; root
Author: Eugene Dubossarsky [aut, cph, cre], Julius Neggo [ctb] (Lead Developer), Howard Song [aut] (Developer), Susan Wang [ctb] (Project Manager), Jason Widjaja [ctb] (Vignette), Jose Magana [ctb] (Package Manager and Developer)
Maintainer: Eugene Dubossarsky <eugene@presciient.com>
Repository: CRAN
Date/Publication: 2016-03-04 10:14:56

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Package sourcetools updated to version 0.1.1 with previous version 0.1.0 dated 2016-03-03

Title: Tools for the Reading and Tokenization of R Code
Description: Tools for the reading and tokenization of R code. The 'sourcetools' package provides both an R and C++ interface for the tokenization of R code, and helpers for interacting with the tokenized representation of R code.
Author: Kevin Ushey
Maintainer: Kevin Ushey <kevinushey@gmail.com>

Diff between sourcetools versions 0.1.0 dated 2016-03-03 and 0.1.1 dated 2016-03-04

 DESCRIPTION                                          |    6 +++---
 MD5                                                  |   10 +++++-----
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New package scrubr with initial version 0.1.0
Package: scrubr
Type: Package
Title: Clean Biological Occurrence Records
Description: Clean biological occurrence records. Includes functionality for cleaning based on various aspects of spatial coordinates, unlikely values due to political 'centroids', coordinates based on where collections of specimens are held, and more.
Version: 0.1.0
Authors@R: c(person("Scott", "Chamberlain", role = c("aut", "cre"), email = "myrmecocystus@gmail.com"))
License: MIT + file LICENSE
URL: https://github.com/ropenscilabs/scrubr
BugReports: https://github.com/ropenscilabs/scrubr/issues
LazyData: TRUE
VignetteBuilder: knitr
Imports: methods, stats, utils, magrittr, qlcMatrix, lazyeval
Suggests: testthat, knitr, rgbif, sp, rworldmap, maps
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-03-04 02:16:28 UTC; sacmac
Author: Scott Chamberlain [aut, cre]
Maintainer: Scott Chamberlain <myrmecocystus@gmail.com>
Repository: CRAN
Date/Publication: 2016-03-04 08:25:36

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Package SACCR updated to version 1.5 with previous version 1.1 dated 2015-12-27

Title: SA Counterparty Credit Risk under Basel III
Description: Computes the Exposure-At-Default based on standardized approach of the Basel III Regulatory framework (SA-CCR). Currently, trade types of all the five major asset classes have been created and, given the inheritance- based structure of the application, the addition of further trade types is straightforward. The application automatically separates the trades on the corresponding hedging and netting sets including the basis and volatility transactions. All the examples appearing on the regulatory paper (including the margined and the un-margined workflow) have been implemented.
Author: Tasos Grivas
Maintainer: Tasos Grivas <info@openriskcalculator.com>

Diff between SACCR versions 1.1 dated 2015-12-27 and 1.5 dated 2016-03-04

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Package pollstR updated to version 1.2.2 with previous version 1.2.1 dated 2015-07-01

Title: Client for the HuffPost Pollster API
Description: Client for the HuffPost Pollster API, which provides access to U.S. opinion polls since 2004.
Author: Jeffrey B. Arnold [aut, cre], Thomas J. Leeper [aut], Drew Linzer [aut]
Maintainer: Jeffrey B. Arnold <jeffrey.arnold@gmail.com>

Diff between pollstR versions 1.2.1 dated 2015-07-01 and 1.2.2 dated 2016-03-04

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Package nets updated to version 0.8 with previous version 0.1 dated 2013-03-04

Title: Network Estimation for Time Series
Description: Sparse VAR estimation based on LASSO.
Author: Christian Brownlees
Maintainer: Christian Brownlees <christian.brownlees@upf.edu>

Diff between nets versions 0.1 dated 2013-03-04 and 0.8 dated 2016-03-04

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More information about nets at CRAN
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Package lawn updated to version 0.1.6 with previous version 0.1.4 dated 2015-08-24

Title: Client for 'Turfjs' for 'Geospatial' Analysis
Description: Client for 'Turfjs' (http://turfjs.org/) for 'geospatial' analysis. The package revolves around using 'GeoJSON' data. Functions are included for creating 'GeoJSON' data objects, measuring aspects of 'GeoJSON', and combining, transforming, and creating random 'GeoJSON' data objects.
Author: Scott Chamberlain [aut, cre], Jeff Hollister [aut]
Maintainer: Scott Chamberlain <myrmecocystus@gmail.com>

Diff between lawn versions 0.1.4 dated 2015-08-24 and 0.1.6 dated 2016-03-04

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Package gunsales updated to version 0.1.1 with previous version 0.1.0 dated 2016-02-28

Title: Statistical Analysis of Monthly Background Checks of Gun Purchases
Description: Statistical analysis of monthly background checks of gun purchases for the New York Times story "What Drives Gun Sales: Terrorism, Obama and Calls for Restrictions" at <http://www.nytimes.com/interactive/2015/12/10/us/gun-sales-terrorism-obama-restrictions.html?> is provided.
Author: Gregor Aisch, Josh Keller and Dirk Eddelbuettel
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between gunsales versions 0.1.0 dated 2016-02-28 and 0.1.1 dated 2016-03-04

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New package lavaan.shiny with initial version 1.0
Package: lavaan.shiny
Type: Package
Title: Latent Variable Analysis with Shiny
Version: 1.0
Date: 2016-03-03
Author: William Kyle Hamilton <kyle.hamilton@gmail.com>
Maintainer: William Kyle Hamilton <kyle.hamilton@gmail.com>
Description: Interactive shiny application for working with different kinds of latent variable analysis, with the 'lavaan' package. Graphical output for models are provided and different estimators are supported.
License: GPL-3
URL: https://github.com/kylehamilton/lavaan.shiny
Depends: R (>= 3.0.3)
Imports: shiny, shinyAce, psych, lavaan, semPlot
LazyData: TRUE
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-03-04 06:06:30 UTC; Kyle
Repository: CRAN
Date/Publication: 2016-03-04 08:25:27

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Package gesca updated to version 1.0.1 with previous version 1.0 dated 2016-03-02

Title: Generalized Structured Component Analysis (GSCA)
Description: Fit a variety of component-based structural equation models.
Author: Heungsun Hwang, Sunmee Kim, Sungyoung Lee, Taesung Park
Maintainer: Sunmee Kim <sunmee.kim@mail.mcgill.ca>

Diff between gesca versions 1.0 dated 2016-03-02 and 1.0.1 dated 2016-03-04

 DESCRIPTION          |    8 ++++----
 MD5                  |    5 +++--
 NAMESPACE            |    4 +++-
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 4 files changed, 10 insertions(+), 7 deletions(-)

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New package cdom with initial version 0.1.0
Package: cdom
Type: Package
Title: R Functions to Model CDOM Spectra
Version: 0.1.0
Date: 2016-02-22
Authors@R: person("Philippe", "Massicotte", email = "pm@bios.au.dk", role = c("aut", "cre"))
Description: Wrapper functions to model and extract various quantitative information from absorption spectra of chromophoric dissolved organic matter (CDOM).
BugReports: https://github.com/PMassicotte/cdom/issues
URL: https://github.com/PMassicotte/cdom
License: GPL (>= 2)
Depends: R (>= 3.0)
LazyData: TRUE
Imports: minpack.lm, ggplot2, tidyr, broom
RoxygenNote: 5.0.1
Suggests: eemR
NeedsCompilation: no
Packaged: 2016-03-04 07:16:53 UTC; persican
Author: Philippe Massicotte [aut, cre]
Maintainer: Philippe Massicotte <pm@bios.au.dk>
Repository: CRAN
Date/Publication: 2016-03-04 08:39:29

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Package bayesTFR updated to version 5.0-1 with previous version 5.0-0 dated 2015-12-05

Title: Bayesian Fertility Projection
Description: Making probabilistic projections of total fertility rate for all countries of the world, using a Bayesian hierarchical model.
Author: Hana Sevcikova (hanas@uw.edu), Leontine Alkema (alkema@nus.edu.sg), Adrian Raftery (raftery@uw.edu) with code contribution from Bailey Fosdick (bfosdick@uw.edu) and Patrick Gerland (gerland@un.org)
Maintainer: Hana Sevcikova <hanas@uw.edu>

Diff between bayesTFR versions 5.0-0 dated 2015-12-05 and 5.0-1 dated 2016-03-04

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Thu, 03 Mar 2016

Package swfscMisc updated to version 1.1 with previous version 1.0.9 dated 2016-02-08

Title: Miscellaneous Functions for Southwest Fisheries Science Center
Description: Collection of conversion, analytical, geodesic, mapping, and plotting functions. Used to support packages and code written by researchers at the Southwest Fisheries Science Center of the National Oceanic and Atmospheric Administration.
Author: Eric Archer
Maintainer: Eric Archer <eric.archer@noaa.gov>

Diff between swfscMisc versions 1.0.9 dated 2016-02-08 and 1.1 dated 2016-03-03

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Permanent link

New package webshot with initial version 0.3
Package: webshot
Title: Take Screenshots of Web Pages
Version: 0.3
Authors@R: c( person("Winston", "Chang", email = "winston@rstudio.com", role = c("aut", "cre")), person("Yihui", "Xie", role = "ctb"), person("Nicolas", "Perriault", role = "ctb", comment = "The CasperJS library") )
Description: Takes screenshots of web pages, including Shiny applications.
Depends: R (>= 3.0)
Imports: magrittr
Suggests: httpuv, knitr, rmarkdown, shiny
VignetteBuilder: knitr
License: GPL-2
SystemRequirements: PhantomJS (http://phantomjs.org) for taking screenshots, ImageMagick (http://www.imagemagick.org) or GraphicsMagick (http://www.graphicsmagick.org) and OptiPNG (http://optipng.sourceforge.net) for manipulating images.
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-03-03 22:31:07 UTC; winston
Author: Winston Chang [aut, cre], Yihui Xie [ctb], Nicolas Perriault [ctb] (The CasperJS library)
Maintainer: Winston Chang <winston@rstudio.com>
Repository: CRAN
Date/Publication: 2016-03-04 00:05:25

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Package rfPermute updated to version 2.0 with previous version 1.9.3 dated 2016-02-08

Title: Estimate Permutation p-Values for Random Forest Importance Metrics
Description: Estimate significance of importance metrics for a Random Forest model by permuting the response variable. Produces null distribution of importance metrics for each predictor variable and p-value of observed.
Author: Eric Archer
Maintainer: Eric Archer <eric.archer@noaa.gov>

Diff between rfPermute versions 1.9.3 dated 2016-02-08 and 2.0 dated 2016-03-03

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Package resemble updated to version 1.2.2 with previous version 1.2.1 dated 2016-02-02

Title: Regression and Similarity Evaluation for Memory-Based Learning in Spectral Chemometrics
Description: Implementation of functions for spectral similarity/dissimilarity analysis and memory-based learning (MBL) for non-linear modeling in complex spectral datasets. In chemometrics MBL is also known as local modeling.
Author: Leonardo Ramirez-Lopez [aut, cre], Antoine Stevens [aut]
Maintainer: Leonardo Ramirez-Lopez <ramirez.lopez.leo@gmail.com>

Diff between resemble versions 1.2.1 dated 2016-02-02 and 1.2.2 dated 2016-03-03

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Package Rfacebook updated to version 0.6.3 with previous version 0.6 dated 2015-08-07

Title: Access to Facebook API via R
Description: Provides an interface to the Facebook API.
Author: Pablo Barbera <pablo.barbera@nyu.edu>, Michael Piccirilli <mrp2181@columbia.edu>, Andrew Geisler
Maintainer: Pablo Barbera <pablo.barbera@nyu.edu>

Diff between Rfacebook versions 0.6 dated 2015-08-07 and 0.6.3 dated 2016-03-03

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More information about Rfacebook at CRAN
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Package PHENIX updated to version 1.2.2 with previous version 1.2.1 dated 2016-01-28

Title: Phenotypic Integration Index
Description: Provides functions to estimate the size-controlled phenotypic integration index, a novel method by Torices & Méndez (2014) to solve problems due to individual size when estimating integration (namely, larger individuals have larger components, which will drive a correlation between components only due to resource availability that might obscure the observed measures of integration). In addition, the package also provides the classical estimation by Wagner (1984), bootstrapping and jackknife methods to calculate confidence intervals and a significance test for both integration indices.
Author: R. Torices, A. J. Muñoz-Pajares
Maintainer: A. J. Muñoz-Pajares <ajesusmp@cibio.up.pt>

Diff between PHENIX versions 1.2.1 dated 2016-01-28 and 1.2.2 dated 2016-03-03

 DESCRIPTION |    8 ++++----
 MD5         |    5 +++--
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 4 files changed, 9 insertions(+), 8 deletions(-)

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Permanent link

New package ProteinDescriptors with initial version 0.1.0
Package: ProteinDescriptors
Type: Package
Title: Generates Various Protein Descriptors for Machine Learning Algorithms
Version: 0.1.0
Authors@R: c( person("Berat", "Kurar", email = "beratkurar@gmail.com", role = c("aut", "cre")), person("Sami", "Abu Sneineh", email = "sami.taha@ppu.edu", role = "aut"), person("Yaqoub", "Ashhab", email = "yashhab@ppu.edu", role = "aut"))
Description: An implementation of protein descriptors in R. These descriptors combine the advantages of being fixed length and including partial sequential effect: Various length of protein sequences are described with fixed length vectors that are suitable for machine learning algorithms, and still includes partial sequential effect.
License: BSD 3-clause License + file LICENSE
LazyData: TRUE
RoxygenNote: 5.0.1
Suggests: testthat
NeedsCompilation: no
Packaged: 2016-03-03 21:51:12 UTC; Berat
Author: Berat Kurar [aut, cre], Sami Abu Sneineh [aut], Yaqoub Ashhab [aut]
Maintainer: Berat Kurar <beratkurar@gmail.com>
Repository: CRAN
Date/Publication: 2016-03-03 23:40:47

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Package osmplotr updated to version 0.1-2 with previous version 0.1-1 dated 2016-03-02

Title: Customisable Images of OpenStreetMap Data
Description: Produces customisable images of OpenStreetMap data. Extracts OpenStreetMap data for specified key-value pairs (e.g. key="building") using the overpass API. Different OSM objects can be plotted in different colours using the function add_osm_objects(). The function group_osm_objects() enables customised highlighting of selected regions using different graphical schemes designed to contrast with surrounding backgrounds.
Author: Mark Padgham [aut, cre]
Maintainer: Mark Padgham <mark.padgham@email.com>

Diff between osmplotr versions 0.1-1 dated 2016-03-02 and 0.1-2 dated 2016-03-03

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New package lettercase with initial version 0.13.1
Package: lettercase
Title: Utilities for Formatting Strings with Consistent Capitalization, Word Breaks and White Space
Version: 0.13.1
Date: 2016-03-03
Authors@R: c( person("Christopher", "Brown", , "chris.brown@decisionpatterns.com", c("aut", "cre") ), person("Decision Patterns", role = "cph") )
Description: Utilities for formatting strings and character vectors to for capitalization, word break and white space. Supported formats are: snake_case, spine-case, camelCase, PascalCase, Title Case, UPPERCASE, lowercase, Sentence case or combinations thereof. 'lettercase' strives to provide a simple, consistent, intuitive and high performing interface.
Depends: R (>= 3.1.0), stringr (>= 1.0.0)
Suggests: testthat, knitr, magrittr (>= 1.5)
License: GPL-2 | file LICENSE
LazyData: true
Collate: 'lettercase-package.R' 'make_names.R' 'make_str_replace.R' 'patterns.R' 'str_cap_words.R' 'str_collapse_whitespace.R' 'str_delete.R' 'str_functions.R' 'str_is.R' 'str_lowercase.R' 'str_sentence_case.R' 'str_snake_case.R' 'str_spine_case.R' 'str_title_case.R' 'str_transform.R' 'str_ucfirst.R' 'str_uppercase.R' 'utils.R' 'zzz.R'
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2016-03-03 20:59:37 UTC; cbrown
Author: Christopher Brown [aut, cre], Decision Patterns [cph]
Maintainer: Christopher Brown <chris.brown@decisionpatterns.com>
Repository: CRAN
Date/Publication: 2016-03-03 23:54:35

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New package humarray with initial version 1.0.0
Package: humarray
Type: Package
Title: Simplify Analysis and Annotation of Human Microarray Datasets
Version: 1.0.0
Date: 2016-03-03
Author: Nicholas Cooper
Maintainer: Nicholas Cooper <njcooper@gmx.co.uk>
Depends: R (>= 3.2), NCmisc (>= 1.1.4), BiocGenerics (>= 0.10.0), IRanges (>= 1.22.10), GenomicRanges (>= 1.16.4), S4Vectors
Imports: Rcpp, methods, parallel, GenomicFeatures (>= 1.22.10), GenomeInfoDb, rtracklayer, biomaRt, BiocInstaller (>= 1.20.1), genoset (>= 1.16.2), reader (>= 1.0.1), utils, stats, graphics
Description: Utilises GRanges, data.frame or IRanges objects. Integrates gene annotation for ImmunoChip (or your custom chip) with function calls. Intuitive wrappers for annotation lookup (gene lists, exon ranges, etc) and conversion (e.g, between build 36 and 37 coordinates). Conversion between ensembl and HGNC gene ids, chip ids to rs-ids for SNP-arrays. Retrieval of chromosome and position for gene, band or SNP-ids, or reverse lookup. Simulation functions for ranges objects.
LazyData: true
License: GPL (>= 2)
Collate: 'humarray.R' 'humarray_datasets.R'
NeedsCompilation: no
Packaged: 2016-03-03 19:33:28 UTC; ncooper
Repository: CRAN
Date/Publication: 2016-03-03 23:52:29

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Package webchem updated to version 0.1.0.0 with previous version 0.0.5.0 dated 2016-01-29

Title: Chemical Information from the Web
Description: Chemical information from around the web. This package interacts with a suite of web APIs for chemical information.
Author: Eduard Szöcs [aut, cre], Daniel Muench [ctb], Johannes Ranke [ctb]
Maintainer: Eduard Szöcs <eduardszoecs@gmail.com>

Diff between webchem versions 0.0.5.0 dated 2016-01-29 and 0.1.0.0 dated 2016-03-03

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Package ggiraph updated to version 0.2.0 with previous version 0.1.0 dated 2016-01-28

Title: Make 'ggplot2' Graphics Interactive Using 'htmlwidgets'
Description: Create interactive 'ggplot2' graphics that are usable in the 'RStudio' viewer pane, in 'R Markdown' documents and in 'Shiny' apps.
Author: David Gohel [aut, cre], Mike Bostock [cph] (d3.js)
Maintainer: David Gohel <david.gohel@ardata.fr>

Diff between ggiraph versions 0.1.0 dated 2016-01-28 and 0.2.0 dated 2016-03-03

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Package explor updated to version 0.2 with previous version 0.1 dated 2015-12-15

Title: Interactive Interfaces for Results Exploration
Description: Shiny interfaces and graphical functions for multivariate analysis results exploration.
Author: Julien Barnier [aut, cre]
Maintainer: Julien Barnier <julien.barnier@ens-lyon.fr>

Diff between explor versions 0.1 dated 2015-12-15 and 0.2 dated 2016-03-03

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More information about explor at CRAN
Permanent link

Package bigrquery updated to version 0.2.0 with previous version 0.1.0 dated 2015-01-13

Title: An Interface to Google's 'BigQuery' 'API'
Description: Easily talk to Google's 'BigQuery' database from R.
Author: Hadley Wickham [aut, cre], RStudio [cph]
Maintainer: Hadley Wickham <hadley@rstudio.com>

Diff between bigrquery versions 0.1.0 dated 2015-01-13 and 0.2.0 dated 2016-03-03

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Permanent link

New package CluMix with initial version 0.3
Package: CluMix
Type: Package
Title: Clustering and Visualization of Mixed-Type Data
Version: 0.3
Date: 2016-03-02
Author: M. Hummel, A. Kopp-Schneider
Maintainer: Manuela Hummel <m.hummel@dkfz.de>
Description: Provides utilities for clustering subjects and variables of mixed data types. Similarities between subjects are measured by Gower's general similarity coefficient with an extension of Podani for ordinal variables. Similarities between variables are assessed by combination of appropriate measures of association for different pairs of data types. Alternatively, variables can also be clustered by the 'ClustOfVar' approach. The main feature of the package is the generation of a mixed-data heatmap. For visualizing similarities between either subjects or variables, a heatmap of the corresponding distance matrix can be drawn. Associations between variables can be explored by a 'confounderPlot', which allows visual detection of possible confounding, collinear, or surrogate factors for some variables of primary interest. Distance matrices and dendrograms for subjects and variables can be derived and used for further visualizations and applications.
License: GPL (>= 2)
Depends:
Imports: ClustOfVar, Hmisc, DescTools, extracat, marray, FD, gplots, Matrix
Suggests:
NeedsCompilation: no
Packaged: 2016-03-03 13:06:18 UTC; hummelma
Repository: CRAN
Date/Publication: 2016-03-03 20:29:17

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Package V8 updated to version 1.0.0 with previous version 0.10 dated 2016-01-29

Title: Embedded JavaScript Engine
Description: An R interface to Google's open source JavaScript engine. V8 is written in C++ and implements ECMAScript as specified in ECMA-262, 5th edition. In addition, this package implements typed arrays as specified in ECMA 6 used for high-performance computing and libraries compiled with 'emscripten'.
Author: Jeroen Ooms
Maintainer: Jeroen Ooms <jeroen.ooms@stat.ucla.edu>

Diff between V8 versions 0.10 dated 2016-01-29 and 1.0.0 dated 2016-03-03

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 vignettes/v8_intro.Rmd |   15 +++++++++++++++
 13 files changed, 86 insertions(+), 90 deletions(-)

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Package signalHsmm updated to version 1.4 with previous version 1.3 dated 2015-07-03

Title: Predict Presence of Signal Peptides
Description: Predicts the presence of signal peptides in eukaryotic protein using hidden semi-Markov models. The implemented algorithm can be accessed from both the command line and GUI.
Author: Michal Burdukiewicz [cre, aut], Piotr Sobczyk [aut]
Maintainer: Michal Burdukiewicz <michalburdukiewicz@gmail.com>

Diff between signalHsmm versions 1.3 dated 2015-07-03 and 1.4 dated 2016-03-03

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 signalHsmm-1.4/signalHsmm/MD5                                   |   80 ++--
 signalHsmm-1.4/signalHsmm/NAMESPACE                             |    3 
 signalHsmm-1.4/signalHsmm/R/datasets.R                          |    4 
 signalHsmm-1.4/signalHsmm/R/find_nhc.R                          |    4 
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 signalHsmm-1.4/signalHsmm/R/hsmm_pred_list.R                    |    9 
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 signalHsmm-1.4/signalHsmm/R/utils.R                             |   29 +
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 42 files changed, 501 insertions(+), 429 deletions(-)

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Package RNiftyReg updated to version 2.2.0 with previous version 2.1.0 dated 2015-10-16

Title: Image Registration Using the NiftyReg Library
Description: Provides an R interface to the NiftyReg image registration tools <http://sourceforge.net/projects/niftyreg/>. Linear and nonlinear registration are supported, in two and three dimensions.
Author: Jon Clayden, based on original code by Marc Modat, Pankaj Daga and others
Maintainer: Jon Clayden <code@clayden.org>

Diff between RNiftyReg versions 2.1.0 dated 2015-10-16 and 2.2.0 dated 2016-03-03

 DESCRIPTION                           |   18 ++-
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 NAMESPACE                             |    5 -
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 R/affine.R                            |  124 +++++++++++++++----------
 R/image.R                             |   17 +++
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 tests/testthat/test-05-nifti.R        |    5 +
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 51 files changed, 629 insertions(+), 307 deletions(-)

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Package ks updated to version 1.10.2 with previous version 1.10.1 dated 2016-01-29

Title: Kernel Smoothing
Description: Kernel smoothers for univariate and multivariate data.
Author: Tarn Duong <tarn.duong@gmail.com>
Maintainer: Tarn Duong <tarn.duong@gmail.com>

Diff between ks versions 1.10.1 dated 2016-01-29 and 1.10.2 dated 2016-03-03

 CHANGELOG          |    5 +++++
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 inst/doc/kde.pdf   |binary
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 9 files changed, 51 insertions(+), 36 deletions(-)

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Package IMak updated to version 1.1.0 with previous version 1.0.0 dated 2016-01-28

Title: Item Maker
Description: This is an Automatic Item Generator for Psychological Testing. It is recommended for research purposes only.
Author: Diego Blum [aut, cre]
Maintainer: Diego Blum <blumworx@gmail.com>

Diff between IMak versions 1.0.0 dated 2016-01-28 and 1.1.0 dated 2016-03-03

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 7 files changed, 348 insertions(+), 313 deletions(-)

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New package netcoh with initial version 0.1
Package: netcoh
Type: Package
Title: Statistical Modeling with Network Cohesion
Version: 0.1
Date: 2016-02-27
Author: Tianxi Li, Elizaveta Levina, Ji Zhu
Maintainer: Tianxi Li <tianxili@umich.edu>
Description: Model fitting procedures for regression with network cohesion effects, when a network connecting sample individuals is available in a regression problem. In the future, other commonly used statistical models will be added, such as gaussian graphical model.
License: GPL (>= 2)
Depends: methods,Matrix
Imports: Rcpp (>= 0.11.5)
LinkingTo: Rcpp,RcppArmadillo
Packaged: 2016-03-03 04:51:55 UTC; tianxili
NeedsCompilation: yes
Repository: CRAN
Date/Publication: 2016-03-03 08:25:23

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Package mgcv updated to version 1.8-12 with previous version 1.8-11 dated 2016-01-23

Title: Mixed GAM Computation Vehicle with GCV/AIC/REML Smoothness Estimation
Description: GAMs, GAMMs and other generalized ridge regression with multiple smoothing parameter estimation by GCV, REML or UBRE/AIC. Includes a gam() function, a wide variety of smoothers, JAGS support and distributions beyond the exponential family.
Author: Simon Wood <simon.wood@r-project.org>
Maintainer: Simon Wood <simon.wood@r-project.org>

Diff between mgcv versions 1.8-11 dated 2016-01-23 and 1.8-12 dated 2016-03-03

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Package detect updated to version 0.4-0 with previous version 0.3-2 dated 2014-05-16

Title: Analyzing Wildlife Data with Detection Error
Description: Models for analyzing site occupancy and count data models with detection error, including single-visit based models, conditional distance sampling and time-removal models. Package development was supported by the Alberta Biodiversity Monitoring Institute (www.abmi.ca) and the Boreal Avian Modelling Project (borealbirds.ca).
Author: Peter Solymos [cre, aut], Monica Moreno [aut], Subhash R. Lele [aut]
Maintainer: Peter Solymos <solymos@ualberta.ca>

Diff between detect versions 0.3-2 dated 2014-05-16 and 0.4-0 dated 2016-03-03

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 83 files changed, 4171 insertions(+), 4120 deletions(-)

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Package asdreader updated to version 0.1-2 with previous version 0.1-1 dated 2015-09-24

Title: Reading ASD Binary Files in R
Description: A simple driver that reads binary data created by the ASD Inc. portable spectrometer instruments, such as the FieldSpec (for more information, see <http://www.asdi.com/products/fieldspec-spectroradiometers>). Spectral data can be extracted from the ASD files as raw (DN), white reference, radiance, or reflectance. Additionally, the metadata information contained in the ASD file header can also be accessed.
Author: Pierre Roudier [aut, cre]
Maintainer: Pierre Roudier <roudierp@landcareresearch.co.nz>

Diff between asdreader versions 0.1-1 dated 2015-09-24 and 0.1-2 dated 2016-03-03

 DESCRIPTION        |   23 ++++++++++++-----------
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 README.md          |    3 ++-
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 5 files changed, 55 insertions(+), 21 deletions(-)

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Package wrswoR updated to version 1.0-1 with previous version 1.0 dated 2016-02-22

Title: Weighted Random Sampling without Replacement
Description: A collection of implementations of classical and novel algorithms for weighted sampling without replacement.
Author: Kirill Müller [aut, cre]
Maintainer: Kirill Müller <krlmlr+r@mailbox.org>

Diff between wrswoR versions 1.0 dated 2016-02-22 and 1.0-1 dated 2016-03-03

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 18 files changed, 241 insertions(+), 171 deletions(-)

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New package treeplyr with initial version 0.1
Package: treeplyr
Type: Package
Title: 'dplyr' Functionality for Matched Tree and Data Objects
Version: 0.1
Date: 2016-02-28
Author: Josef Uyeda
Maintainer: Josef Uyeda <josef.uyeda@gmail.com>
Description: Matches phylogenetic trees and trait data, and allows simultaneous manipulation of the tree and data using 'dplyr'.
License: GPL-2 | GPL-3
Depends: ape (>= 3.0-6), dplyr, R (>= 2.15.0)
Imports: Rcpp (>= 0.10.3), lazyeval, phytools, geiger
LinkingTo: Rcpp
RoxygenNote: 5.0.1
NeedsCompilation: yes
Packaged: 2016-03-02 22:51:56 UTC; josef
Repository: CRAN
Date/Publication: 2016-03-03 05:50:12

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New package Tariff with initial version 1.0
Package: Tariff
Type: Package
Title: Replicate Tariff Method for Verbal Autopsy
Version: 1.0
Date: 2016-03-02
Author: Zehang Li, Tyler McCormick, Sam Clark
Maintainer: Zehang Li <lizehang@uw.edu>
Description: Implement Tariff algorithm for coding cause of death from verbal autopsies. It also provides simple graphical representation of individual and population level statistics.
License: GPL-2
NeedsCompilation: no
Packaged: 2016-03-02 23:00:16 UTC; zehangli
Repository: CRAN
Date/Publication: 2016-03-03 05:50:02

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New package sourcetools with initial version 0.1.0
Package: sourcetools
Type: Package
Title: Tools for the Reading and Tokenization of R Code
Version: 0.1.0
Author: Kevin Ushey
Maintainer: Kevin Ushey <kevinushey@gmail.com>
Description: Tools for the reading and tokenization of R code. The 'sourcetools' package provides both an R and C++ interface for the tokenization of R code, and helpers for interacting with the tokenized representation of R code.
License: MIT + file LICENSE
LazyData: TRUE
Depends: R (>= 3.0.2)
Suggests: testthat
SystemRequirements: C++11
RoxygenNote: 5.0.1
NeedsCompilation: yes
Packaged: 2016-03-02 19:26:57 UTC; kevin
Repository: CRAN
Date/Publication: 2016-03-03 05:50:11

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Package sadists updated to version 0.2.2 with previous version 0.2.1 dated 2015-06-11

Title: Some Additional Distributions
Description: Provides the density, distribution, quantile and generation functions of some obscure probability distributions, including the doubly non- central t, F, Beta, and Eta distributions; Lecoutre's lambda-prime and K-prime; the upsilon distribution; the (weighted) sum of non-central chi-squares to a power; the (weighted) sum of log non-central chi-squares; the product of non- central chi-squares to powers; the product of doubly non-central F variates.
Author: Steven E. Pav [aut, cre]
Maintainer: Steven E. Pav <shabbychef@gmail.com>

Diff between sadists versions 0.2.1 dated 2015-06-11 and 0.2.2 dated 2016-03-03

 DESCRIPTION                          |   21 +++++-----
 MD5                                  |   68 ++++++++++++++++----------------
 NAMESPACE                            |    5 +-
 R/cumulants.r                        |   39 ------------------
 R/dnbeta.r                           |    4 -
 R/dneta.r                            |    2 
 R/moments.r                          |   41 -------------------
 R/prodchisqpow.r                     |    2 
 R/runExample.r                       |    4 -
 R/sadists.r                          |    8 +++
 R/sumchisqpow.r                      |    5 +-
 R/sumlogchisq.r                      |    2 
 R/utils.r                            |   73 ++---------------------------------
 README.md                            |   23 ++++++-----
 build/vignette.rds                   |binary
 inst/doc/sadists.R                   |    6 +-
 inst/doc/sadists.Rnw                 |   27 +++++++++++-
 inst/doc/sadists.pdf                 |binary
 inst/shiny-examples/sadists/server.R |    4 -
 man/NEWS.Rd                          |    9 +++-
 man/ddnbeta.Rd                       |   22 +++++-----
 man/ddneta.Rd                        |   22 +++++-----
 man/ddnf.Rd                          |   22 +++++-----
 man/ddnt.Rd                          |   20 ++++-----
 man/dkprime.Rd                       |   27 ++++++------
 man/dlambdap.Rd                      |   25 ++++++-----
 man/dprodchisqpow.Rd                 |   28 ++++++-------
 man/dproddnf.Rd                      |   34 ++++++++--------
 man/dsumchisqpow.Rd                  |   30 ++++++++------
 man/dsumlogchisq.Rd                  |   22 +++++-----
 man/dupsilon.Rd                      |   32 +++++++--------
 man/runExample.Rd                    |   12 ++---
 man/sadists.Rd                       |   42 ++++++++++----------
 tests                                |only
 vignettes/sadists.Rnw                |   27 +++++++++++-
 35 files changed, 322 insertions(+), 386 deletions(-)

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Package RGraphics updated to version 2.0-14 with previous version 2.0-13 dated 2015-11-19

Title: Data and Functions from the Book R Graphics, Second Edition
Description: Data and Functions from the book R Graphics, Second Edition. There is a function to produce each figure in the book, plus several functions, classes, and methods defined in Chapter 8.
Author: Paul Murrell
Maintainer: Paul Murrell <paul@stat.auckland.ac.nz>

Diff between RGraphics versions 2.0-13 dated 2015-11-19 and 2.0-14 dated 2016-03-03

 DESCRIPTION |   10 +++++-----
 MD5         |    2 +-
 2 files changed, 6 insertions(+), 6 deletions(-)

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Package RcmdrPlugin.temis updated to version 0.7.5 with previous version 0.7.4 dated 2015-08-19

Title: Graphical Integrated Text Mining Solution
Description: An 'R Commander' plug-in providing an integrated solution to perform a series of text mining tasks such as importing and cleaning a corpus, and analyses like terms and documents counts, vocabulary tables, terms co-occurrences and documents similarity measures, time series analysis, correspondence analysis and hierarchical clustering. Corpora can be imported from spreadsheet-like files, directories of raw text files, 'Twitter' queries, as well as from 'Dow Jones Factiva', 'LexisNexis', 'Europresse' and 'Alceste' files.
Author: Milan Bouchet-Valat [aut, cre], Gilles Bastin [aut]
Maintainer: Milan Bouchet-Valat <nalimilan@club.fr>

Diff between RcmdrPlugin.temis versions 0.7.4 dated 2015-08-19 and 0.7.5 dated 2016-03-03

 DESCRIPTION          |   16 ++++++++--------
 MD5                  |   10 ++++++----
 NEWS                 |    3 +++
 R/corpusCa.R         |    2 +-
 R/corpusClustering.R |    2 +-
 inst/po/sl           |only
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 7 files changed, 19 insertions(+), 14 deletions(-)

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Package PDQutils updated to version 0.1.4 with previous version 0.1.3 dated 2016-01-05

Title: PDQ Functions via Gram Charlier, Edgeworth, and Cornish Fisher Approximations
Description: A collection of tools for approximating the 'PDQ' functions (respectively, the cumulative distribution, density, and quantile) of probability distributions via classical expansions involving moments and cumulants.
Author: Steven E. Pav [aut, cre]
Maintainer: Steven E. Pav <shabbychef@gmail.com>

Diff between PDQutils versions 0.1.3 dated 2016-01-05 and 0.1.4 dated 2016-03-03

 DESCRIPTION            |   16 +++++++---------
 MD5                    |   10 +++++-----
 inst/doc/PDQutils.R    |    6 +++---
 inst/doc/PDQutils.Rnw  |    6 +++---
 inst/doc/PDQutils.pdf  |binary
 vignettes/PDQutils.Rnw |    6 +++---
 6 files changed, 21 insertions(+), 23 deletions(-)

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New package quickReg with initial version 0.0.1
Package: quickReg
Title: Build Regression Models Quickly and Display the Results Using 'ggplot2'
Version: 0.0.1
Authors@R: person("Xikun", "Han", email = "hanxikun2014@163.com",role = c("aut", "cre"))
Description: A set of functions to extract results from regression models and plot the effect size using 'ggplot2' seamlessly. While 'broom' is useful to convert statistical analysis objects into tidy data frames, 'coefplot' is adept at showing multivariate regression results. With specific outcome, this package could build regression models automatically, extract results into a data frame and provide a quicker way to summarize models' statistical findings using 'ggplot2'.
Depends: R (>= 3.0.0)
Imports: ggplot2 (>= 2.0.0), survival, psych, utils, stats
Suggests: nortest, knitr, rmarkdown
VignetteBuilder: knitr
License: GPL-2
BugReports: Xikun Han <hanxikun2014@163.com>
LazyData: true
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-03-02 23:37:21 UTC; 1159225156
Author: Xikun Han [aut, cre]
Maintainer: Xikun Han <hanxikun2014@163.com>
Repository: CRAN
Date/Publication: 2016-03-03 05:50:07

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Package lordif updated to version 0.3-3 with previous version 0.3-2 dated 2015-09-18

Title: Logistic Ordinal Regression Differential Item Functioning using IRT
Description: Analysis of Differential Item Functioning (DIF) for dichotomous and polytomous items using an iterative hybrid of ordinal logistic regression and item response theory (IRT).
Author: Seung W. Choi, with contributions from Laura E. Gibbons and Paul K. Crane
Maintainer: Seung W. Choi <choi.phd@gmail.com>

Diff between lordif versions 0.3-2 dated 2015-09-18 and 0.3-3 dated 2016-03-03

 DESCRIPTION           |    8 +--
 MD5                   |   67 ++++++++++++++++-----------------
 NAMESPACE             |    2 
 R/DFIT.R              |    4 -
 R/calcprob.R          |    4 -
 R/calctheta.R         |    2 
 R/extract.R           |    6 +-
 R/getcutoff.R         |    2 
 R/lordif-internal.R   |only
 R/lordif.R            |  101 +++++++++++++++++++++++++++++---------------------
 R/montecarlo.R        |   47 +++++++++++++----------
 R/permute.R           |   49 +++++++++++++-----------
 R/plot.lordif.MC.R    |   14 +++---
 R/plot.lordif.R       |   10 +++-
 R/print.lordif.R      |    3 -
 R/probgrm.R           |    2 
 R/rundif.R            |    6 +-
 R/runolr.R            |    8 +--
 R/separate.R          |    2 
 data/Anxiety.rda      |binary
 man/Anxiety.Rd        |    3 -
 man/DFIT.Rd           |    6 +-
 man/lordif-package.Rd |   42 ++++++++++++--------
 man/lordif.Rd         |   15 +++----
 man/montecarlo.Rd     |   22 +++++++---
 man/permute.Rd        |   22 ++++++----
 man/plot.lordif.MC.Rd |   23 ++++++++---
 man/plot.lordif.Rd    |   27 +++++++++----
 man/probgpcm.Rd       |   27 ++++++++-----
 man/probgrm.Rd        |   27 ++++++++-----
 man/recode.Rd         |   15 +++++--
 man/rundif.Rd         |   26 ++++++++----
 man/runolr.Rd         |   29 ++++++++++----
 man/separate.Rd       |   16 +++++--
 man/tcc.Rd            |   20 ++++-----
 35 files changed, 399 insertions(+), 258 deletions(-)

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Package ipdw updated to version 0.2-4 with previous version 0.2-3 dated 2015-08-16

Title: Spatial Interpolation by Inverse Path Distance Weighting
Description: Functions are provided to interpolate georeferenced point data via Inverse Path Distance Weighting. Useful for coastal marine applications where barriers in the landscape preclude interpolation with Euclidean distances.
Author: Joseph Stachelek <jstachel@sfwmd.gov>
Maintainer: Joseph Stachelek <jstachel@sfwmd.gov>

Diff between ipdw versions 0.2-3 dated 2015-08-16 and 0.2-4 dated 2016-03-03

 ipdw-0.2-3/ipdw/TODO                      |only
 ipdw-0.2-4/ipdw/DESCRIPTION               |   13 +--
 ipdw-0.2-4/ipdw/MD5                       |   40 +++++----
 ipdw-0.2-4/ipdw/NAMESPACE                 |    3 
 ipdw-0.2-4/ipdw/R/costrasterGen.R         |   91 +++++++++++-----------
 ipdw-0.2-4/ipdw/R/errorGen.R              |   54 ++++++-------
 ipdw-0.2-4/ipdw/R/ipdw.R                  |   13 +--
 ipdw-0.2-4/ipdw/R/ipdwInterp.R            |  123 +++++++++++++-----------------
 ipdw-0.2-4/ipdw/R/pathdistGen.R           |   89 ++++++++++-----------
 ipdw-0.2-4/ipdw/build/vignette.rds        |binary
 ipdw-0.2-4/ipdw/inst/doc/ipdw.R           |    9 +-
 ipdw-0.2-4/ipdw/inst/doc/ipdw.Rnw         |   11 +-
 ipdw-0.2-4/ipdw/inst/doc/ipdw.pdf         |binary
 ipdw-0.2-4/ipdw/man/costrasterGen.Rd      |   25 +++---
 ipdw-0.2-4/ipdw/man/errorGen.Rd           |   27 +++---
 ipdw-0.2-4/ipdw/man/ipdw.Rd               |   18 ++--
 ipdw-0.2-4/ipdw/man/ipdwInterp.Rd         |   24 ++---
 ipdw-0.2-4/ipdw/man/pathdistGen.Rd        |   28 +++---
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 ipdw-0.2-4/ipdw/tests                     |only
 ipdw-0.2-4/ipdw/vignettes/ipdw.Rnw        |   11 +-
 21 files changed, 295 insertions(+), 284 deletions(-)

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New package karaoke with initial version 1.0
Package: karaoke
Type: Package
Title: Remove Vocals from a Song
Version: 1.0
Date: 2016-02-28
Author: John R. Dixon
Maintainer: John R. Dixon <gbm2sas@gmail.com>
Description: Attempts to remove vocals from a stereo '.wav' recording of a song.
License: GPL-3
Depends: tuneR, seewave
NeedsCompilation: no
Packaged: 2016-03-02 22:42:16 UTC; I800146
Repository: CRAN
Date/Publication: 2016-03-03 05:50:06

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Package InterVA4 updated to version 1.7 with previous version 1.6 dated 2015-09-07

Title: Replicate and Analyse InterVA4
Description: Provides an R version of the InterVA4 software for coding cause of death from verbal autopsies. It also provides simple graphical representation of individual and population level statistics.
Author: Zehang Li, Tyler McCormick, Sam Clark
Maintainer: Zehang Li <lizehang@uw.edu>

Diff between InterVA4 versions 1.6 dated 2015-09-07 and 1.7 dated 2016-03-03

 InterVA4-1.6/InterVA4/R/InterVA4_1.6-package.R     |only
 InterVA4-1.7/InterVA4/DESCRIPTION                  |    8 +--
 InterVA4-1.7/InterVA4/MD5                          |   31 ++++++++------
 InterVA4-1.7/InterVA4/NAMESPACE                    |   18 ++++++++
 InterVA4-1.7/InterVA4/R/InterVA.R                  |    9 ++--
 InterVA4-1.7/InterVA4/R/InterVA.plot.R             |   44 ++++++++++++++-------
 InterVA4-1.7/InterVA4/R/InterVA.summary.r          |only
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 InterVA4-1.7/InterVA4/man/CSMF.Rd                  |   21 ++++++----
 InterVA4-1.7/InterVA4/man/CSMF.interVA4.Rd         |    2 
 InterVA4-1.7/InterVA4/man/InterVA.Rd               |    6 +-
 InterVA4-1.7/InterVA4/man/InterVA.plot.Rd          |    2 
 InterVA4-1.7/InterVA4/man/InterVA4-package.Rd      |    4 -
 InterVA4-1.7/InterVA4/man/Population.summary.Rd    |    8 +--
 InterVA4-1.7/InterVA4/man/SampleInput.Rd           |    4 -
 InterVA4-1.7/InterVA4/man/causetext.Rd             |    4 -
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 InterVA4-1.7/InterVA4/man/probbase.Rd              |    4 -
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 19 files changed, 107 insertions(+), 58 deletions(-)

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Package graphicsQC updated to version 1.0-7 with previous version 1.0-6 dated 2014-12-21

Title: Quality Control for Graphics in R
Description: Functions to generate graphics files, compare them with ``model'' files, and report the results, including visual and textual diffs of any differences.
Author: Stephen Gardiner and Paul Murrell
Maintainer: Paul Murrell <paul@stat.auckland.ac.nz>

Diff between graphicsQC versions 1.0-6 dated 2014-12-21 and 1.0-7 dated 2016-03-03

 DESCRIPTION             |   13 +++++++------
 MD5                     |    6 +++---
 NAMESPACE               |    2 ++
 inst/doc/graphicsqc.pdf |binary
 4 files changed, 12 insertions(+), 9 deletions(-)

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Package BAMMtools updated to version 2.1.1 with previous version 2.1.0 dated 2015-11-10

Title: Analysis and Visualization of Macroevolutionary Dynamics on Phylogenetic Trees
Description: Provides functions for analyzing and visualizing complex macroevolutionary dynamics on phylogenetic trees. It is a companion package to the command line program BAMM (Bayesian Analysis of Macroevolutionary Mixtures) and is entirely oriented towards the analysis, interpretation, and visualization of evolutionary rates. Functionality includes visualization of rate shifts on phylogenies, estimating evolutionary rates through time, comparing posterior distributions of evolutionary rates across clades, comparing diversification models using Bayes factors, and more.
Author: Dan Rabosky, Mike Grundler, Pascal Title, Carlos Anderson, Jeff Shi, Joseph Brown, Huateng Huang, Jon Mitchell
Maintainer: Pascal Title <ptitle@umich.edu>

Diff between BAMMtools versions 2.1.0 dated 2015-11-10 and 2.1.1 dated 2016-03-03

 DESCRIPTION               |    8 +--
 MD5                       |   22 ++++-----
 R/bammcolors.R            |   14 +++++
 R/getEventData.R          |    2 
 R/setBAMMpriors.R         |   30 ++++++++----
 R/traitDependentBAMM.R    |  109 +++++++++++-----------------------------------
 man/BAMMtools-internal.Rd |   44 ------------------
 man/BAMMtools-package.Rd  |    4 -
 man/addBAMMlegend.Rd      |    2 
 man/plot.bammdata.Rd      |    5 ++
 man/setBAMMpriors.Rd      |    2 
 man/traitDependentBAMM.Rd |    7 ++
 12 files changed, 92 insertions(+), 157 deletions(-)

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Wed, 02 Mar 2016

Package spiders updated to version 1.2 with previous version 1.0 dated 2014-12-10

Title: Fits Predator Preferences Model
Description: Fits and simulates data from our predator preferences model, <DOI:10.1007/s10651-016-0341-3>.
Author: Edward A. Roualdes [cre, aut], Simon J. Bonner [aut]
Maintainer: Edward A. Roualdes <eroualdes@csuchico.edu>

Diff between spiders versions 1.0 dated 2014-12-10 and 1.2 dated 2016-03-02

 spiders-1.0/spiders/man/getUnitCounts.Rd           |only
 spiders-1.2/spiders/DESCRIPTION                    |   24 ++++--
 spiders-1.2/spiders/MD5                            |   73 +++++++++++----------
 spiders-1.2/spiders/NAMESPACE                      |    5 -
 spiders-1.2/spiders/R/contrasts.R                  |   34 +++++----
 spiders-1.2/spiders/R/estimate1.R                  |   16 ++--
 spiders-1.2/spiders/R/estimateC.R                  |   21 +++---
 spiders-1.2/spiders/R/estimateCs.R                 |   30 ++++++--
 spiders-1.2/spiders/R/estimateCst.R                |   39 ++++++++---
 spiders-1.2/spiders/R/estimateCt.R                 |   38 ++++++++--
 spiders-1.2/spiders/R/estimateGen.R                |   10 +-
 spiders-1.2/spiders/R/hypotheses.R                 |   60 ++++++++---------
 spiders-1.2/spiders/R/likelihood.R                 |    3 
 spiders-1.2/spiders/R/predPref.R                   |   29 ++++----
 spiders-1.2/spiders/R/simPref.R                    |   14 ++--
 spiders-1.2/spiders/R/summary.predPref.R           |   57 ++++++++--------
 spiders-1.2/spiders/R/util.R                       |   35 +++-------
 spiders-1.2/spiders/build                          |only
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 spiders-1.2/spiders/man/calcHypotheses.Rd          |   29 +++-----
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 spiders-1.2/spiders/man/est1.Rd                    |   23 ++----
 spiders-1.2/spiders/man/estC.Rd                    |   23 ++----
 spiders-1.2/spiders/man/estCs.Rd                   |   26 ++-----
 spiders-1.2/spiders/man/estCst.Rd                  |   23 ++----
 spiders-1.2/spiders/man/estCt.Rd                   |   26 ++-----
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 spiders-1.2/spiders/man/getTimeCounts.Rd           |   10 +-
 spiders-1.2/spiders/man/ll.Rd                      |   26 ++-----
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 spiders-1.2/spiders/man/testC.Rd                   |   66 +++++++++---------
 spiders-1.2/spiders/tests/testthat/test_predPref.R |   29 --------
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 38 files changed, 451 insertions(+), 458 deletions(-)

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New package osmplotr with initial version 0.1-1
Package: osmplotr
Title: Customisable Images of OpenStreetMap Data
Version: 0.1-1
Date: 2016-03-01
Authors@R: person("Mark", "Padgham", email = "mark.padgham@email.com", role = c("aut", "cre"))
Description: Produces customisable images of OpenStreetMap data. Extracts OpenStreetMap data for specified key-value pairs (e.g. key="building") using the overpass API. Different OSM objects can be plotted in different colours using the function add_osm_objects(). The function group_osm_objects() enables customised highlighting of selected regions using different graphical schemes designed to contrast with surrounding backgrounds.
Depends: R (>= 3.2.3)
Imports: ggm, igraph, methods, osmar, RCurl, rgeos, sp, spatstat, XML,
Suggests: knitr, roxygen2, rmarkdown, devtools, maptools, RColorBrewer
License: GPL-3
URL: https://github.com/mpadge/osmplotr
LazyData: true
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2016-03-02 17:48:13 UTC; markus
Author: Mark Padgham [aut, cre]
Maintainer: Mark Padgham <mark.padgham@email.com>
Repository: CRAN
Date/Publication: 2016-03-02 23:41:12

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Package assertive.sets updated to version 0.0-2 with previous version 0.0-1 dated 2015-10-06

Title: Assertions to Check Properties of Sets
Description: A set of predicates and assertions for checking the properties of sets. This is mainly for use by other package developers who want to include run-time testing features in their own packages. End-users will usually want to use assertive directly.
Author: Richard Cotton [aut, cre]
Maintainer: Richard Cotton <richierocks@gmail.com>

Diff between assertive.sets versions 0.0-1 dated 2015-10-06 and 0.0-2 dated 2016-03-02

 assertive.sets-0.0-1/assertive.sets/man/is_set_equal.Rd          |only
 assertive.sets-0.0-2/assertive.sets/DESCRIPTION                  |   15 -
 assertive.sets-0.0-2/assertive.sets/MD5                          |   18 -
 assertive.sets-0.0-2/assertive.sets/NAMESPACE                    |    3 
 assertive.sets-0.0-2/assertive.sets/NEWS                         |    3 
 assertive.sets-0.0-2/assertive.sets/R/assert-is-set.R            |  101 +++++-----
 assertive.sets-0.0-2/assertive.sets/R/is-set.R                   |   48 +++-
 assertive.sets-0.0-2/assertive.sets/README.md                    |   75 +++----
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 assertive.sets-0.0-2/assertive.sets/tests/testthat.R             |   11 -
 assertive.sets-0.0-2/assertive.sets/tests/testthat/test-is-set.R |   28 ++
 11 files changed, 177 insertions(+), 125 deletions(-)

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Package assertive.properties updated to version 0.0-2 with previous version 0.0-1 dated 2015-10-06

Title: Assertions to Check Properties of Variables
Description: A set of predicates and assertions for checking the properties of variables, such as length, names and attributes. This is mainly for use by other package developers who want to include run-time testing features in their own packages. End-users will usually want to use assertive directly.
Author: Richard Cotton [aut, cre]
Maintainer: Richard Cotton <richierocks@gmail.com>

Diff between assertive.properties versions 0.0-1 dated 2015-10-06 and 0.0-2 dated 2016-03-02

 assertive.properties-0.0-1/assertive.properties/inst                                             |only
 assertive.properties-0.0-2/assertive.properties/DESCRIPTION                                      |   20 -
 assertive.properties-0.0-2/assertive.properties/MD5                                              |   64 ++--
 assertive.properties-0.0-2/assertive.properties/NAMESPACE                                        |  146 +++++----
 assertive.properties-0.0-2/assertive.properties/NEWS                                             |    3 
 assertive.properties-0.0-2/assertive.properties/R/are-same-size.R                                |    2 
 assertive.properties-0.0-2/assertive.properties/R/assert-are-same-size.R                         |    8 
 assertive.properties-0.0-2/assertive.properties/R/assert-has-slot.R                              |only
 assertive.properties-0.0-2/assertive.properties/R/assert-is-atomic-recursive-vector.R            |   26 +
 assertive.properties-0.0-2/assertive.properties/R/has-attributes.R                               |  151 +++++-----
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 assertive.properties-0.0-2/assertive.properties/R/imports.R                                      |    2 
 assertive.properties-0.0-2/assertive.properties/R/is-atomic-recursive-vector.R                   |   56 +++
 assertive.properties-0.0-2/assertive.properties/R/is-empty-scalar.R                              |    2 
 assertive.properties-0.0-2/assertive.properties/R/is-unsorted.R                                  |    6 
 assertive.properties-0.0-2/assertive.properties/README.md                                        |  130 ++++----
 assertive.properties-0.0-2/assertive.properties/man/DIM.Rd                                       |    6 
 assertive.properties-0.0-2/assertive.properties/man/are_same_length.Rd                           |   20 -
 assertive.properties-0.0-2/assertive.properties/man/has_any_attributes.Rd                        |   64 ++--
 assertive.properties-0.0-2/assertive.properties/man/has_attributes.Rd                            |    4 
 assertive.properties-0.0-2/assertive.properties/man/has_cols.Rd                                  |    8 
 assertive.properties-0.0-2/assertive.properties/man/has_dims.Rd                                  |    2 
 assertive.properties-0.0-2/assertive.properties/man/has_duplicates.Rd                            |    8 
 assertive.properties-0.0-2/assertive.properties/man/has_names.Rd                                 |   12 
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 assertive.properties-0.0-2/assertive.properties/man/is_atomic.Rd                                 |   52 ++-
 assertive.properties-0.0-2/assertive.properties/man/is_empty.Rd                                  |   10 
 assertive.properties-0.0-2/assertive.properties/man/is_null.Rd                                   |    6 
 assertive.properties-0.0-2/assertive.properties/man/is_unsorted.Rd                               |   10 
 assertive.properties-0.0-2/assertive.properties/man/n_elements.Rd                                |    2 
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 assertive.properties-0.0-2/assertive.properties/tests/testthat.R                                 |    7 
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Package AMCP updated to version 0.0.2 with previous version 0.0.1 dated 2016-02-11

Title: A Multiple Comparison Perspective
Description: Accompanies "Designing experiments and analyzing data: A model comparison perspective"" (3rd ed.) Maxwell, Delaney, & Kelley (forthcoming). This package contains all of the data sets in the book. Information about the book is available here <http://www.DesigningExperiments.com>.
Author: Scott Maxwell [aut], Harold Delaney [aut], Ken Kelley [aut, cre]
Maintainer: Ken Kelley <kkelley@nd.edu>

Diff between AMCP versions 0.0.1 dated 2016-02-11 and 0.0.2 dated 2016-03-02

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New package GoodmanKruskal with initial version 0.0.1
Package: GoodmanKruskal
Title: Association Analysis for Categorical Variables
Version: 0.0.1
Authors@R: person("Ron", "Pearson", email = "ron@datarobot.com", role = c("aut", "cre"))
Description: Association analysis between categorical variables using the Goodman and Kruskal tau measure. This asymmetric association measure allows the detection of asymmetric relations between categorical variables (e.g., one variable obtained by re-grouping another).
Depends: R (>= 3.2.3)
Imports: classInt, corrplot
License: MIT + file LICENSE
LazyData: true
Suggests: knitr, MASS, testthat, car, rmarkdown
VignetteBuilder: knitr
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-03-02 15:36:24 UTC; ron
Author: Ron Pearson [aut, cre]
Maintainer: Ron Pearson <ron@datarobot.com>
Repository: CRAN
Date/Publication: 2016-03-02 17:13:11

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Package DataExplorer updated to version 0.2.4 with previous version 0.2.3 dated 2016-03-01

Title: Data Explorer
Description: Data exploration process for data analysis and model building, so that users could focus on understanding data and extracting insights. The package automatically scans through each variable and does data profiling. Typical graphical techniques will be performed for both discrete and continuous features.
Author: Boxuan Cui [aut, cre]
Maintainer: Boxuan Cui <boxuancui@gmail.com>

Diff between DataExplorer versions 0.2.3 dated 2016-03-01 and 0.2.4 dated 2016-03-02

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New package biomartr with initial version 0.0.3
Package: biomartr
Title: Functional Annotation and Biological Data Retrieval with R
Version: 0.0.3
Author: Hajk-Georg Drost
Maintainer: Hajk-Georg Drost <hgd23@cam.ac.uk>
Description: Perform biological data retrieval and functional annotation with R. This tool provides API functions to the BioMart database and genome retrieval functions for bulk retrieval of genomes.
VignetteBuilder: knitr
NeedsCompilation: yes
Depends: R (>= 3.1.1)
Imports: biomaRt, Biostrings, data.table (>= 1.9.4), dplyr (>= 0.3.0), readr (>= 0.2.2), downloader (>= 0.3), RCurl (>= 1.95-4.5), XML (>= 3.98-1.1), httr (>= 0.6.1), stringr (>= 0.6.2)
Suggests: knitr (>= 1.6), rmarkdown (>= 0.3.3), devtools (>= 1.6.1), testthat
License: GPL-3
LazyData: true
URL: https://github.com/HajkD/biomartr
BugReports: https://github.com/HajkD/biomartr/issues
RoxygenNote: 5.0.1
Packaged: 2016-03-02 15:57:36 UTC; h-gd
Repository: CRAN
Date/Publication: 2016-03-02 17:18:12

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Package BayesVarSel updated to version 1.6.2 with previous version 1.6.1 dated 2015-01-26

Title: Bayes Factors, Model Choice and Variable Selection in Linear Models
Description: Conceived to calculate Bayes factors in linear models and then to provide a formal Bayesian answer to testing and variable selection problems. From a theoretical side, the emphasis in the package is placed on the prior distributions and BayesVarSel allows using a wide range of them: Jeffreys (1961); Zellner and Siow(1980)<DOI:10.1007/bf02888369>; Zellner and Siow(1984); Zellner (1986)<DOI:10.2307/2233941>; Fernandez et al. (2001)<DOI:10.1016/s0304-4076(00)00076-2>; Liang et al. (2008)<DOI:10.1198/016214507000001337> and Bayarri et al. (2012)<DOI:10.1214/12-aos1013>. The interaction with the package is through a friendly interface that syntactically mimics the well-known lm() command of R. The resulting objects can be easily explored providing the user very valuable information (like marginal, joint and conditional inclusion probabilities of potential variables; the highest posterior probability model, HPM; the median probability model, MPM) about the structure of the true -data generating- model. Additionally, "BayesVarSel" incorporates abilities to handle problems with a large number of potential explanatory variables through parallel and heuristic versions of the main commands, Garcia-Donato and Martinez-Beneito (2013)<DOI:10.1080/01621459.2012.742443>.
Author: Gonzalo Garcia-Donato and Anabel Forte
Maintainer: Anabel Forte <anabel.forte@uv.es>

Diff between BayesVarSel versions 1.6.1 dated 2015-01-26 and 1.6.2 dated 2016-03-02

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Package STEPCAM updated to version 1.1.1 with previous version 1.1 dated 2015-08-07

Title: ABC-SMC Inference of STEPCAM
Description: STEPwise Community Assembly Model collection, applying ABC-SMC in order to infer different community assembly processes. Also includes several plotting functions in order to visualize found estimates.
Author: Thijs Janzen & Fons van der Plas
Maintainer: Thijs Janzen <thijsjanzen@gmail.com>

Diff between STEPCAM versions 1.1 dated 2015-08-07 and 1.1.1 dated 2016-03-02

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Package rsvg updated to version 0.5 with previous version 0.4 dated 2016-01-28

Title: Render SVG Images into PDF, PNG, PostScript, or Bitmap Arrays
Description: Renders vector-based 'svg' images into high-quality custom-size bitmap arrays using 'librsvg'. The resulting bitmap can be written to e.g. 'png', 'jpeg' or 'webp' format. In addition, the package can convert images directly to various formats such as pdf or postscript.
Author: Jeroen Ooms
Maintainer: Jeroen Ooms <jeroen.ooms@stat.ucla.edu>

Diff between rsvg versions 0.4 dated 2016-01-28 and 0.5 dated 2016-03-02

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Package modQR updated to version 0.1.1 with previous version 0.1.0 dated 2015-06-18

Title: Multiple-Output Directional Quantile Regression
Description: Contains basic tools for performing multiple-output quantile regression and computing regression quantile contours by means of directional regression quantiles. In the location case, one can thus obtain halfspace depth contours in two to six dimensions.
Author: Miroslav Šiman [aut], Pavel Boček [aut, cre]
Maintainer: Pavel Boček <bocek@utia.cas.cz>

Diff between modQR versions 0.1.0 dated 2015-06-18 and 0.1.1 dated 2016-03-02

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Package georob updated to version 0.2-3 with previous version 0.2-2 dated 2015-12-02

Title: Robust Geostatistical Analysis of Spatial Data
Description: Provides functions for efficiently fitting linear models with spatially correlated errors by robust and Gaussian (Restricted) Maximum Likelihood and for computing robust and customary point and block external-drift kriging predictions, along with utility functions for variogram modelling in ad-hoc geostatistical analyses, model building, model evaluation by cross-validation and for unbiased back-transformation of kriging predictions of log-transformed data.
Author: Andreas Papritz [cre, aut], Cornelia Schwierz [ctb]
Maintainer: Andreas Papritz <andreas.papritz@env.ethz.ch>

Diff between georob versions 0.2-2 dated 2015-12-02 and 0.2-3 dated 2016-03-02

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Package forecTheta updated to version 2.0 with previous version 1.1 dated 2015-08-02

Title: Forecasting Time Series by Theta Models
Description: Routines for forecasting univariate time series using Theta Models. Contains several cross-validation routines.
Author: Jose Augusto Fiorucci, Francisco Louzada and Bao Yiqi
Maintainer: Jose Augusto Fiorucci <jafiorucci@gmail.com>

Diff between forecTheta versions 1.1 dated 2015-08-02 and 2.0 dated 2016-03-02

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Package FedData updated to version 2.0.7 with previous version 2.0.6 dated 2016-02-21

Title: Functions to Automate Downloading Geospatial Data Available from Several Federated Data Sources
Description: Functions to automate downloading geospatial data available from several federated data sources (mainly sources maintained by the US Federal government). Currently, the package allows for retrieval of five datasets: The National Elevation Dataset digital elevation models (1 and 1/3 arc-second; USGS); The National Hydrography Dataset (USGS); The Soil Survey Geographic (SSURGO) database from the National Cooperative Soil Survey (NCSS), which is led by the Natural Resources Conservation Service (NRCS) under the USDA; the Global Historical Climatology Network (GHCN), coordinated by National Climatic Data Center at NOAA; and the International Tree Ring Data Bank. Additional data sources are in the works, including global DEM resources (ETOPO1, ETOPO5, ETOPO30, SRTM), global soils (HWSD), MODIS satellite data products, the National Atlas (US), Natural Earth, PRISM, and WorldClim.
Author: R. Kyle Bocinsky [aut, cre], Dylan Beaudette [ctb], Scott Chamberlain [ctb]
Maintainer: R. Kyle Bocinsky <bocinsky@gmail.com>

Diff between FedData versions 2.0.6 dated 2016-02-21 and 2.0.7 dated 2016-03-02

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Package prepdat updated to version 1.0.7 with previous version 1.0.6 dated 2016-02-28

Title: Preparing Experimental Data for Statistical Analysis
Description: Prepares data for statistical analysis (e.g., analysis of variance ;ANOVA) by enabling the user to easily and quickly merge (using the file_merge() function) raw data files into one merged table and then aggregate the merged table (using the prep() function) into a finalized table while keeping track and summarizing every step of the preparation. The finalized table contain several possibilities for dependent measures of the dependent variable. Most suitable when measuring variables in an interval or ratio scale (e.g., reaction-times) and/or discrete values such as accuracy. Main functions included are file_merge() and prep(). The file_merge() function vertically merges individual data files (in a long format) in which each line is a single observation to one single dataset. The prep() function aggregates the single dataset according to any combination of grouping variables (i.e., between-subjects and within-subjects independent variables, respectively), and returns a data frame with a number of dependent measures for further analysis for each cell according to the combination of provided grouping variables. Dependent measures for each cell include among others means before and after rejecting all values according to a flexible standard deviation criteria, number of rejected values according to the flexible standard deviation criteria, proportions of rejected values according to the flexible standard deviation criteria, number of values before rejection, means after rejecting values according to procedures described in Van Selst & Jolicoeur (1994; suitable when measuring reaction-times), standard deviations, medians, means according to any percentile (e.g., 0.05, 0.25, 0.75, 0.95) and harmonic means. The data frame prep() returns can also be exported as a txt file to be used for statistical analysis in other statistical programs.
Author: Ayala S. Allon [aut, cre], Roy Luria [aut], James Grange [ctb], Nachshon Meiran [ctb]
Maintainer: Ayala S. Allon <ayalaallon@gmail.com>

Diff between prepdat versions 1.0.6 dated 2016-02-28 and 1.0.7 dated 2016-03-02

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Package deepboost updated to version 0.1.4 with previous version 0.1.3 dated 2016-03-01

Title: Deep Boosting Ensemble Modeling
Description: Provides deep boosting models training, evaluation, predicting and hyper parameter optimising using grid search and cross validation. Based on Google's Deep Boosting algorithm, and Google's C++ implementation. Cortes, C., Mohri, M., & Syed, U. (2014) <URL: http://machinelearning.wustl.edu/mlpapers/papers/icml2014c2_cortesb14>.
Author: Daniel Marcous [aut, cre], Yotam Sandbank [aut], Google Inc. [cph]
Maintainer: Daniel Marcous <dmarcous@gmail.com>

Diff between deepboost versions 0.1.3 dated 2016-03-01 and 0.1.4 dated 2016-03-02

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New package dHSIC with initial version 1.0
Package: dHSIC
Type: Package
Title: Independence Testing via Hilbert Schmidt Independence Criterion
Version: 1.0
Date: 2016-03-02
Author: Niklas Pfister and Jonas Peters
Maintainer: Niklas Pfister <pfisteni@student.ethz.ch>
Description: Contains an implementation of the d-variable Hilbert Schmidt independence criterion and several hypothesis tests based on it.
License: GPL-3
Imports: stats
NeedsCompilation: no
Packaged: 2016-03-02 10:38:59 UTC; niklas
Repository: CRAN
Date/Publication: 2016-03-02 12:45:53

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Package adegraphics updated to version 1.0-5 with previous version 1.0-4 dated 2015-11-10

Title: An S4 Lattice-Based Package for the Representation of Multivariate Data
Description: Graphical functionalities for the representation of multivariate data. It is a complete re-implementation of the functions available in the 'ade4' package.
Author: Stéphane Dray <stephane.dray@univ-lyon1.fr> and Aurélie Siberchicot <aurelie.siberchicot@univ-lyon1.fr>, with contributions from Jean Thioulouse. Based on earlier work by Alice Julien-Laferrière.
Maintainer: Aurélie Siberchicot <aurelie.siberchicot@univ-lyon1.fr>

Diff between adegraphics versions 1.0-4 dated 2015-11-10 and 1.0-5 dated 2016-03-02

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Package sjPlot updated to version 1.9.2 with previous version 1.9.1 dated 2016-02-08

Title: Data Visualization for Statistics in Social Science
Description: Collection of plotting and table output functions for data visualization. Results of various statistical analyses (that are commonly used in social sciences) can be visualized using this package, including simple and cross tabulated frequencies, histograms, box plots, (generalized) linear models, mixed effects models, PCA and correlation matrices, cluster analyses, scatter plots, Likert scales, effects plots of regression models (including interaction terms) and much more.
Author: Daniel Lüdecke <d.luedecke@uke.de>
Maintainer: Daniel Lüdecke <d.luedecke@uke.de>

Diff between sjPlot versions 1.9.1 dated 2016-02-08 and 1.9.2 dated 2016-03-02

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 34 files changed, 7062 insertions(+), 6701 deletions(-)

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New package pems.utils with initial version 0.2.17.8
Package: pems.utils
Type: Package
Title: Portable Emissions (and Other Mobile) Measurement System Utilities
Version: 0.2.17.8
Date: 2016-03-02
Author: Karl Ropkins
Maintainer: Karl Ropkins <k.ropkins@its.leeds.ac.uk>
Depends: R (>= 2.10.0), lattice, loa
Imports: methods, utils, grid, RColorBrewer, latticeExtra, ggplot2, plyr
Description: Utility functions for the handling, analysis and visualisation of data from portable emissions measurement systems ('PEMS') and other similar mobile activity monitoring devices. The package includes a dedicated 'pems' data class that manages many of the quality control, unit handling and data archiving issues that can hinder efforts to standardise 'PEMS' research.
License: GPL (>= 2)
LazyLoad: yes
LazyData: yes
Packaged: 2016-03-02 08:13:02 UTC; Karl
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2016-03-02 11:10:18

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New package mgarchBEKK with initial version 0.0.1
Package: mgarchBEKK
Title: Simulating, Estimating and Diagnosing MGARCH (BEKK and mGJR) Processes
Version: 0.0.1
Authors@R: c( person("Harald", "Schmidbauer", email="harald@hs-stat.com", role=c("aut")), person("Angi", "Roesch", email="angi@angi-stat.com", role=c("aut")), person("Vehbi Sinan", "Tunalioglu", email="vst@vsthost.com", role=c("cre", "aut")))
Description: Procedures to simulate, estimate and diagnose MGARCH processes of BEKK and multivariate GJR (bivariate asymmetric GARCH model) specification.
Depends: R (>= 3.2.3), tseries, mvtnorm
Suggests: testthat, devtools, roxygen2
License: GPL-3
LazyData: true
URL: https://github.com/vst/mgarchBEKK/
RoxygenNote: 5.0.1
NeedsCompilation: yes
Packaged: 2016-03-02 08:37:39 UTC; vst
Author: Harald Schmidbauer [aut], Angi Roesch [aut], Vehbi Sinan Tunalioglu [cre, aut]
Maintainer: Vehbi Sinan Tunalioglu <vst@vsthost.com>
Repository: CRAN
Date/Publication: 2016-03-02 11:10:17

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Package lxb updated to version 1.5 with previous version 1.3 dated 2013-10-16

Title: Fast LXB File Reader
Description: Functions to quickly read LXB parameter data.
Author: Björn Winckler [aut, cre], James K. Lawless [ctb, cph]
Maintainer: Björn Winckler <bjorn.winckler@gmail.com>

Diff between lxb versions 1.3 dated 2013-10-16 and 1.5 dated 2016-03-02

 DESCRIPTION |   18 +++++++++++-------
 LICENSE     |    4 ++--
 MD5         |    6 +++---
 src/lxb.c   |    2 +-
 4 files changed, 17 insertions(+), 13 deletions(-)

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New package gesca with initial version 1.0
Package: gesca
Type: Package
Title: Generalized Structured Component Analysis (GSCA)
Version: 1.0
Date: 2016-02-13
Author: Heungsun Hwang, Sunmee Kim, Sungyoung Lee, Taesung Park
Maintainer: Sunmee Kim <sunmee.kim@mail.mcgill.ca>
Description: Fit a variety of component-based structural equation models.
License: GPL (>= 2)
Packaged: 2016-03-02 02:35:18 UTC; sylee
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2016-03-02 09:26:01

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New package biglasso with initial version 1.0-1
Package: biglasso
Version: 1.0-1
Date: 2016-02-27
Title: Big Lasso: Extending Lasso Model Fitting to Big Data in R
Author: Yaohui Zeng [aut,cre], Patrick Breheny [ctb]
Maintainer: Yaohui Zeng <yaohui-zeng@uiowa.edu>
Description: Extend lasso and elastic-net model fitting for ultrahigh-dimensional, multi-gigabyte data sets that cannot be loaded into memory. Compared to existing lasso-fitting packages, it preserves equivalently fast computation speed but is much more memory-efficient, thus allowing for very powerful big data analysis even with only a single laptop.
License: GPL-2
Depends: bigmemory, Matrix, parallel, ncvreg
Imports: Rcpp (>= 0.12.1), methods
LinkingTo: Rcpp, RcppArmadillo, bigmemory, BH
NeedsCompilation: yes
Packaged: 2016-03-02 05:20:15 UTC; yazeng
Repository: CRAN
Date/Publication: 2016-03-02 11:10:15

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Tue, 01 Mar 2016

Package uniqueAtomMat updated to version 0.1-2 with previous version 0.1-1 dated 2016-02-29

Title: Finding Unique or Duplicated Rows or Columns for Atomic Matrices
Description: An alternative implementation and extension (grpDuplicated) of base::duplicated.matrix, base:anyDuplicated.matrix and base::unique.matrix for matrices of atomic mode, avoiding the time consuming collapse of the matrix into a character vector.
Author: Long Qu [aut, cre]
Maintainer: Long Qu <long.qu@wright.edu>

Diff between uniqueAtomMat versions 0.1-1 dated 2016-02-29 and 0.1-2 dated 2016-03-01

 DESCRIPTION            |    8 
 MD5                    |   28 +--
 NAMESPACE              |   32 +--
 R/duplicated.matrix.R  |  216 ++++++++++++------------
 cleanup                |    3 
 cleanup.win            |    3 
 configure              |   18 --
 configure.win          |   15 -
 man/grpDuplicated.Rd   |  178 +++++++++----------
 man/unique.Rd          |  282 +++++++++++++++----------------
 src/dupAtomMat.cpp     |    4 
 src/dupAtomMatHash.cpp |    7 
 src/rcSetHash.h        |    1 
 tests/testGrpDup.R     |  440 ++++++++++++++++++++++++-------------------------
 tests/testUnique.R     |  118 ++++++-------
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New package simpleRCache with initial version 0.2.2
Package: simpleRCache
Title: Simple R Cache
Description: Simple result caching in R based on Henrik Bengtsson's R.cache. The global environment is not considered when caching results simplifying moving files between multiple instances of R. Relies on more base functions than R.cache (e.g. cached results are saved using saveRDS() and readRDS()).
Version: 0.2.2
Author: Augustin Luna, Vinodh Rajapakse
Maintainer: Augustin Luna <lunaa@cbio.mskcc.org>
Depends: R (>= 3.1.1)
License: LGPL
Imports: digest
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-03-01 21:59:51 UTC; cannin
Repository: CRAN
Date/Publication: 2016-03-02 01:33:00

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New package Rearrangement with initial version 2.1
Package: Rearrangement
Type: Package
Title: Monotonize Point and Interval Functional Estimates by Rearrangement
Version: 2.1
Author: Wesley Graybill, Mingli Chen, Victor Chernozhukov, Ivan Fernandez-Val, Alfred Galichon
Maintainer: Ivan Fernandez-Val <ivanf@bu.edu>
Description: The rearrangement operator (Hardy, Littlewood, and Polya 1952) for univariate, bivariate, and trivariate point estimates of monotonic functions. The package additionally provides a function that creates simultaneous confidence intervals for univariate functions and applies the rearrangement operator to these confidence intervals.
License: GPL (>= 2)
LazyLoad: yes
Depends: quantreg, splines
NeedsCompilation: no
Packaged: 2016-03-01 18:33:53 UTC; Mingli
Repository: CRAN
Date/Publication: 2016-03-02 01:48:30

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Package ore updated to version 1.3.0 with previous version 1.2.2 dated 2016-01-27

Title: An R Interface to the Oniguruma Regular Expression Library
Description: Provides an alternative to R's built-in functionality for handling regular expressions, based on the Oniguruma library. Offers first-class compiled regex objects, partial matching and function-based substitutions, amongst other features.
Author: Jon Clayden, based on Onigmo by K. Kosako and K. Takata
Maintainer: Jon Clayden <code@clayden.org>

Diff between ore versions 1.2.2 dated 2016-01-27 and 1.3.0 dated 2016-03-01

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 57 files changed, 611 insertions(+), 221 deletions(-)

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Package MANCIE updated to version 1.4 with previous version 1.2 dated 2015-09-25

Title: Matrix Analysis and Normalization by Concordant Information Enhancement
Description: High-dimensional data integration is a critical but difficult problem in genomics research because of potential biases from high-throughput experiments. We present MANCIE, a computational method for integrating two genomic data sets with homogenous dimensions from different sources based on a PCA procedure as an approximation to a Bayesian approach.
Author: Tao Wang, Chongzhi Zang
Maintainer: Tao Wang <tao.wang@utsouthwestern.edu>

Diff between MANCIE versions 1.2 dated 2015-09-25 and 1.4 dated 2016-03-01

 DESCRIPTION          |    8 ++++----
 MD5                  |    8 ++++----
 NEWS                 |    4 ++++
 R/summarize_mat.R    |   13 ++++++++++---
 man/summarize_mat.Rd |    7 +++++--
 5 files changed, 27 insertions(+), 13 deletions(-)

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Package GPareto updated to version 1.0.2 with previous version 1.0.1 dated 2015-07-03

Title: Gaussian Processes for Pareto Front Estimation and Optimization
Description: Gaussian process regression models, a.k.a. kriging models, are applied to global multiobjective optimization of black-box functions. Multiobjective Expected Improvement and Step-wise Uncertainty Reduction sequential infill criteria are available. A quantification of uncertainty on Pareto fronts is provided using conditional simulations.
Author: Mickael Binois, Victor Picheny
Maintainer: Mickael Binois <mickael.binois@mines-stetienne.fr>

Diff between GPareto versions 1.0.1 dated 2015-07-03 and 1.0.2 dated 2016-03-01

 DESCRIPTION                     |   18 -
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 NAMESPACE                       |  132 +++++-----
 NEWS                            |   33 ++
 R/CPF.R                         |   45 +--
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 R/GPareto-package.R             |  153 +++++-------
 R/GParetoptim.R                 |  134 +++++++---
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 R/SAA_MEI.R                     |   27 +-
 R/TestFunctions.R               |   72 +++--
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 51 files changed, 2221 insertions(+), 1976 deletions(-)

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New package IGM.MEA with initial version 0.3.0
Package: IGM.MEA
Type: Package
Title: IGM MEA Analysis
Version: 0.3.0
Date: 2016-02-19
Author: Quanli Wang, Sahar Gelfman, Diana Hall, Ryan Dhindsa
Maintainer: Sahar Gelfman <sg3261@columbia.edu>
Description: Software tools for the characterization of neuronal networks as recorded on multi-electrode arrays.
Depends: R (>= 3.2.2)
Imports: lattice,tcltk,emdist,ggplot2 (>= 2.0.0), gridExtra,reshape2,plyr, gtools
License: GPL (>= 3)
NeedsCompilation: yes
Packaged: 2016-03-01 17:57:49 UTC; sg3261
Repository: CRAN
Date/Publication: 2016-03-02 01:58:28

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Package glmmLasso updated to version 1.4.1 with previous version 1.4.0 dated 2016-03-01

Title: Variable Selection for Generalized Linear Mixed Models by L1-Penalized Estimation
Description: A variable selection approach for generalized linear mixed models by L1-penalized estimation is provided.
Author: Andreas Groll
Maintainer: Andreas Groll <groll@mathematik.uni-muenchen.de>

Diff between glmmLasso versions 1.4.0 dated 2016-03-01 and 1.4.1 dated 2016-03-01

 DESCRIPTION                        |    8 +--
 MD5                                |   20 +++----
 R/glmmLasso_RE.R                   |   94 ++++++++++++++++++++++---------------
 R/glmmLasso_noRE.R                 |   82 ++++++++++++++++++++------------
 R/glmm_final.r                     |    2 
 R/glmm_final.smooth.r              |    2 
 R/glmm_final.smooth_noRE.R         |    2 
 R/glmm_final_multi_random.r        |    2 
 R/glmm_final_multi_random_smooth.r |    2 
 R/glmm_final_noRE.R                |    2 
 man/glmmLasso.rd                   |    4 -
 11 files changed, 130 insertions(+), 90 deletions(-)

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New package GAMens with initial version 1.2
Package: GAMens
Type: Package
Title: Applies GAMbag, GAMrsm and GAMens Ensemble Classifiers for Binary Classification
Version: 1.2
Date: 2016-02-26
Author: Koen W. De Bock, Kristof Coussement and Dirk Van den Poel
Maintainer: Koen W. De Bock <K.DeBock@ieseg.fr>
Depends: R (>= 2.4.0), splines, gam, mlbench, caTools
Description: Ensemble classifiers based upon generalized additive models for binary classification (De Bock et al. (2010) <DOI:10.1016/j.csda.2009.12.013>). The ensembles implement Bagging (Breiman (1996) <DOI:10.1023/A:1018054314350>), the Random Subspace Method (Ho (1998) <DOI:10.1109/34.709601>), or both, and use Hastie and Tibshirani's (1990) generalized additive models (GAMs) as base classifiers. Once an ensemble classifier has been trained, it can be used for predictions on new data. A function for cross validation is also included.
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2016-03-01 18:33:17 UTC; k.debock
Repository: CRAN
Date/Publication: 2016-03-02 01:56:37

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Package epifit updated to version 0.0.6 with previous version 0.0.5 dated 2016-02-01

Title: Flexible Modelling Functions for Epidemiological Data Analysis
Description: Provides flexible model fitting used in epidemiological data analysis by a unified model specification, along with some data manipulation functions. This package covers fitting of variety models including Cox regression models, linear regression models, Poisson regression models, logistic models and others whose likelihood is expressed in negative binomial, gamma and Weibull distributions.
Author: Kazutaka Doi [aut,cre], Kei Sakabe [ctb], Masataka Taruri [ctb]
Maintainer: Kazutaka Doi <kztkdi@gmail.com>

Diff between epifit versions 0.0.5 dated 2016-02-01 and 0.0.6 dated 2016-03-01

 DESCRIPTION         |    8 ++++----
 MD5                 |   16 ++++++++--------
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 R/calcAge.R         |   30 +++++++++++++++++++++---------
 R/modes.R           |    2 +-
 R/pullOneValue.R    |   17 +++++++++++++++--
 man/calcAge.Rd      |    2 +-
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Package caseMatch updated to version 1.0.6 with previous version 1.0.5 dated 2016-02-02

Title: Identify Similar Cases for Qualitative Case Studies
Description: Allows users to identify similar cases for qualitative case studies using statistical matching methods.
Author: Rich Nielsen
Maintainer: Rich Nielsen <rnielsen@mit.edu>

Diff between caseMatch versions 1.0.5 dated 2016-02-02 and 1.0.6 dated 2016-03-01

 DESCRIPTION    |    8 
 MD5            |    4 
 R/case.match.R |  541 ++++++++++++++++++++++++---------------------------------
 3 files changed, 243 insertions(+), 310 deletions(-)

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Package BOIN updated to version 2.1 with previous version 2.0 dated 2015-09-04

Title: Bayesian Optimal INterval (BOIN) Design for Single-Agent and Drug- Combination Phase I Clinical Trials
Description: The Bayesian optimal interval (BOIN) design is a novel phase I clinical trial design for finding the maximum tolerated dose (MTD). It can be used to design both single-agent and drug-combination trials. The BOIN design is motivated by the top priority and concern of clinicians when testing a new drug, which is to effectively treat patients and minimize the chance of exposing them to subtherapeutic or overly toxic doses. The prominent advantage of the BOIN design is that it achieves simplicity and superior performance at the same time. The BOIN design is algorithm-based and can be implemented in a simple way similar to the traditional 3+3 design. The BOIN design yields an average performance that is comparable to that of the continual reassessment method (CRM, one of the best model-based designs) in terms of selecting the MTD, but has a substantially lower risk of assigning patients to subtherapeutic or overly toxic doses.
Author: Ying Yuan and Suyu Liu
Maintainer: Ying Yuan <yyuan@mdanderson.org>

Diff between BOIN versions 2.0 dated 2015-09-04 and 2.1 dated 2016-03-01

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Package simpleRCache (with last version 0.2.1) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2016-02-27 0.2.1

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Package smoof updated to version 1.3 with previous version 1.2 dated 2016-01-22

Title: Single and Multi-Objective Optimization Test Functions
Description: Provides generators for a high number of both single- and multi- objective test functions which are frequently used for the benchmarking of (numerical) optimization algorithms. Moreover, it offers a set of convenient functions to generate, plot and work with objective functions.
Author: Jakob Bossek [aut, cre], Pascal Kerschke [ctb]
Maintainer: Jakob Bossek <j.bossek@gmail.com>

Diff between smoof versions 1.2 dated 2016-01-22 and 1.3 dated 2016-03-01

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 R/mof.zdt1.R                                      |    5 
 R/mof.zdt2.R                                      |    3 
 R/mof.zdt3.R                                      |    3 
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 tests/testthat/Rplots.pdf                         |binary
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New package mateable with initial version 0.3.0
Package: mateable
Type: Package
Title: Tools to Assess Mating Potential in Space and Time
Version: 0.3.0
Date: 2016-02-29
Authors@R: c( person("Stuart", "Wagenius", email = "stuart.wagenius@gmail.com", role = c("cre", "aut")), person("Danny", "Hanson", email = "danny.hanson52@gmail.com", role = "aut"), person("Amy", "Waananen", email = "amy.waananen@gmail.com", role = "aut"))
Maintainer: Stuart Wagenius <stuart.wagenius@gmail.com>
Description: Provides tools to simulate, manage, visualize, and analyze spatially and temporally explicit datasets of mating potential. Implements methods to calculate synchrony, proximity, and compatibility.
License: GPL
LazyData: true
Imports: Rcpp, sn, FNN
LinkingTo: Rcpp
RoxygenNote: 5.0.1
NeedsCompilation: yes
Packaged: 2016-03-01 14:30:51 UTC; dhanson
Author: Stuart Wagenius [cre, aut], Danny Hanson [aut], Amy Waananen [aut]
Repository: CRAN
Date/Publication: 2016-03-01 17:15:40

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Package lessR updated to version 3.4.4 with previous version 3.4 dated 2015-12-27

Title: Less Code, More Results
Description: Each function accomplishes the work of several or more standard R functions. For example, two function calls, Read() and CountAll(), read the data and generate summary statistics for all variables in the data frame, plus histograms and bar charts as appropriate. Other functions provide for descriptive statistics, a comprehensive regression analysis, analysis of variance and t-test, plotting, bar chart, histogram, box plot, density curves, calibrated power curve, reading multiple data formats with the same function call, variable labels, color themes, and a built-in help system. A confirmatory factor analysis of multiple indicator measurement models is available, as are pedagogical routines for data simulation such as for the Central Limit Theorem. Compatible with 'RStudio' and 'knitr' including generation of 'knitr' instructions for interpretative output.
Author: David W. Gerbing, School of Business Administration, Portland State University
Maintainer: David W. Gerbing <gerbing@pdx.edu>

Diff between lessR versions 3.4 dated 2015-12-27 and 3.4.4 dated 2016-03-01

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New package icarus with initial version 0.2.0
Package: icarus
Title: Calibrates and Reweights Units in Samples
Description: Provides user-friendly tools for calibration in survey sampling. The package is production-oriented, and its interface is inspired by the famous popular macro 'Calmar' for SAS, so that 'Calmar' users can quickly get used to 'icarus'. In addition to calibration (with linear, raking and logit methods), 'icarus' features functions for calibration on tight bounds and penalized calibration.
Version: 0.2.0
Authors@R: c(person("Antoine Rebecq", role=c("aut","cre"), email = "antoine.rebecq@m4x.org"))
Maintainer: Antoine Rebecq <antoine.rebecq@m4x.org>
Depends: R (>= 3.1.1)
License: GPL-3
LazyData: true
Suggests: testthat, ggplot2, Rglpk, slam, xtable
NeedsCompilation: no
Packaged: 2016-03-01 17:15:14 UTC; haroine
Author: Antoine Rebecq [aut, cre]
Repository: CRAN
Date/Publication: 2016-03-01 18:41:23

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New package deepboost with initial version 0.1.3
Package: deepboost
Type: Package
Title: Deep Boosting Ensemble Modeling
Version: 0.1.3
Date: 2016-02-28
Author: Daniel Marcous [aut, cre], Yotam Sandbank [aut], Google Inc. [cph]
Maintainer: Daniel Marcous <dmarcous@gmail.com>
Authors@R: c( person("Daniel", "Marcous", email = "dmarcous@gmail.com", role = c("aut","cre")), person("Yotam", "Sandbank", email = "yotamsandbank@gmail.com", role = "aut"), person("Google Inc.", role = "cph") )
Description: Provides deep boosting models training, evaluation, predicting and hyper parameter optimising using grid search and cross validation. Based on Google's Deep Boosting algorithm, and Google's C++ implementation. Cortes, C., Mohri, M., & Syed, U. (2014) <URL: http://machinelearning.wustl.edu/mlpapers/papers/icml2014c2_cortesb14>.
URL: https://github.com/dmarcous/CRAN_deepboost
BugReports: https://github.com/dmarcous/CRAN_deepboost/issues
License: Apache License (== 2.0)
LazyData: TRUE
Suggests: testthat, ada, caret
Depends: R (>= 3.1)
Imports: Rcpp (>= 0.12.2), methods
LinkingTo: Rcpp
RoxygenNote: 5.0.1
NeedsCompilation: yes
Packaged: 2016-03-01 16:41:27 UTC; dmarcous
Repository: CRAN
Date/Publication: 2016-03-01 18:41:17

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New package DataExplorer with initial version 0.2.3
Package: DataExplorer
Title: Data Explorer
Version: 0.2.3
Authors@R: person("Boxuan", "Cui", email = "boxuancui@gmail.com", role = c("aut", "cre"))
Description: Data exploration process for data analysis and model building, so that users could focus on understanding data and extracting insights. The package automatically scans through each variable and does data profiling. Typical graphical techniques will be performed for both discrete and continuous features.
Depends: R (>= 3.2.0)
Imports: data.table (>= 1.9.4), reshape2 (>= 1.4.1), ggplot2 (>= 1.0.1), scales (>= 0.3.0), gridExtra (>= 0.9.1), rmarkdown (>= 0.9.5), stats, utils
License: GPL-2
LazyData: true
URL: https://github.com/boxuancui/DataExplorer
BugReports: https://github.com/boxuancui/DataExplorer/issues
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-03-01 15:27:01 UTC; bcui
Author: Boxuan Cui [aut, cre]
Maintainer: Boxuan Cui <boxuancui@gmail.com>
Repository: CRAN
Date/Publication: 2016-03-01 17:15:26

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Package biomod2 updated to version 3.3-7 with previous version 3.1-64 dated 2014-12-10

Title: Ensemble Platform for Species Distribution Modeling
Description: Functions for species distribution modeling, calibration and evaluation, ensemble of models.
Author: Wilfried Thuiller [aut, cre], Damien Georges [aut, cre], Robin Engler [aut], Frank Breiner [aut]
Maintainer: Damien Georges <damien.georges2@gmail.com>

Diff between biomod2 versions 3.1-64 dated 2014-12-10 and 3.3-7 dated 2016-03-01

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Package precrec updated to version 0.3.1 with previous version 0.2.0 dated 2015-12-21

Title: Calculate Accurate Precision-Recall and Receiver Operator Characteristics Curves
Description: Accurate calculations and visualization of Precision-Recall and Receiver Operator Characteristics curves.
Author: Takaya Saito [aut, cre], Marc Rehmsmeier [aut]
Maintainer: Takaya Saito <takaya.saito@outlook.com>

Diff between precrec versions 0.2.0 dated 2015-12-21 and 0.3.1 dated 2016-03-01

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 NEWS.md                                  |only
 README.md                                |   17 +--
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 9 files changed, 139 insertions(+), 103 deletions(-)

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New package OTRselect with initial version 1.0
Package: OTRselect
Type: Package
Title: Variable Selection for Optimal Treatment Decision
Version: 1.0
Date: 2016-03-01
Author: Wenbin Lu, Hao Helen Zhang, Donglin Zeng, Yuan Geng, and Shannon Holloway
Maintainer: Shannon Holloway <sthollow@ncsu.edu>
Description: A penalized regression framework that can simultaneously estimate the optimal treatment strategy and identify important variables. Appropriate for either censored or uncensored continuous response.
License: GPL-2
Depends: stats, lars, survival, methods
NeedsCompilation: no
Packaged: 2016-03-01 14:40:02 UTC; sthollow
Repository: CRAN
Date/Publication: 2016-03-01 17:07:33

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Package molaR updated to version 2.1 with previous version 2.0 dated 2016-02-22

Title: Dental Surface Complexity Measurement Tools
Description: Surface topography calculations of Dirichlet's normal energy, relief index, and orientation patch count for teeth using scans of enamel caps. Importantly, for the relief index and orientation patch count calculations to work, the scanned tooth files must be oriented with the occlusal plane parallel to the x and y axes, and perpendicular to the z axis. The files should also be simplified, and smoothed in some other software prior to uploading into R.
Author: James D. Pampush [aut, cre, cph], Julia M. Winchester [aut, cph], Paul E. Morse [aut, cph], Alexander Q. Vining [aut, cph]
Maintainer: James D. Pampush <jdpampush@gmail.com>

Diff between molaR versions 2.0 dated 2016-02-22 and 2.1 dated 2016-03-01

 DESCRIPTION |    6 +++---
 MD5         |    4 ++--
 R/RFI.R     |   10 ++++++++--
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Package loa updated to version 0.2.38 with previous version 0.2.22 dated 2015-01-20

Title: Lattice Options and Add-Ins
Description: Various plots and functions that make use of the lattice/trellis plotting framework. The plots (which include 'loaPlot', 'GoogleMap' and 'trianglePlot') use panelPal(), a function that extends 'lattice' and 'hexbin' package methods to automate plot subscript and panel-to-panel and panel-to-key synchronization/management.
Author: Karl Ropkins
Maintainer: Karl Ropkins <k.ropkins@its.leeds.ac.uk>

Diff between loa versions 0.2.22 dated 2015-01-20 and 0.2.38 dated 2016-03-01

 DESCRIPTION                         |   28 +--
 MD5                                 |   48 +++--
 NAMESPACE                           |   23 ++
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Package ggplot2 updated to version 2.1.0 with previous version 2.0.0 dated 2015-12-18

Title: An Implementation of the Grammar of Graphics
Description: An implementation of the grammar of graphics in R. It combines the advantages of both base and lattice graphics: conditioning and shared axes are handled automatically, and you can still build up a plot step by step from multiple data sources. It also implements a sophisticated multidimensional conditioning system and a consistent interface to map data to aesthetic attributes. See http://ggplot2.org for more information, documentation and examples.
Author: Hadley Wickham [aut, cre], Winston Chang [aut], RStudio [cph]
Maintainer: Hadley Wickham <hadley@rstudio.com>

Diff between ggplot2 versions 2.0.0 dated 2015-12-18 and 2.1.0 dated 2016-03-01

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Package gemtc updated to version 0.8 with previous version 0.7-1 dated 2015-10-12

Title: Network Meta-Analysis Using Bayesian Methods
Description: Network meta-analyses (mixed treatment comparisons) in the Bayesian framework using JAGS. Includes methods to assess heterogeneity and inconsistency, and a number of standard visualizations.
Author: Gert van Valkenhoef, Joel Kuiper
Maintainer: Gert van Valkenhoef <g.h.m.van.valkenhoef@rug.nl>

Diff between gemtc versions 0.7-1 dated 2015-10-12 and 0.8 dated 2016-03-01

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More information about gemtc at CRAN
Permanent link

New package FREGAT with initial version 1.0
Package: FREGAT
Title: Family REGional Association Tests
Version: 1.0
Author: Nadezhda M. Belonogova <belon@bionet.nsc.ru> and Gulnara R. Svishcheva <gulsvi@mail.ru>, with contributions from: Seunggeun Lee (kernel functions), Pierre Lafaye de Micheaux ('davies' method), Thomas Lumley ('kuonen' method), James O. Ramsay (functional data analysis functions), David Clayton ('read.plink' function) and Brian Ripley ('ginv' function)
Maintainer: Nadezhda M. Belonogova <belon@bionet.nsc.ru>
Depends: R (>= 2.10.0)
Imports: methods, Matrix, splines, parallel
Suggests: doParallel, foreach, GenABEL, seqminer
Repository: CRAN
Description: Fast regional association analysis of quantitative traits for family-based and population studies.
License: GPL-3
LazyLoad: yes
NeedsCompilation: yes
Packaged: 2016-03-01 12:52:53 UTC; lima
Date/Publication: 2016-03-01 17:07:30

More information about FREGAT at CRAN
Permanent link

Package deSolve updated to version 1.13 with previous version 1.12 dated 2015-07-06

Title: Solvers for Initial Value Problems of Differential Equations (ODE, DAE, DDE)
Description: Functions that solve initial value problems of a system of first-order ordinary differential equations (ODE), of partial differential equations (PDE), of differential algebraic equations (DAE), and of delay differential equations. The functions provide an interface to the FORTRAN functions lsoda, lsodar, lsode, lsodes of the ODEPACK collection, to the FORTRAN functions dvode and daspk and a C-implementation of solvers of the Runge-Kutta family with fixed or variable time steps. The package contains routines designed for solving ODEs resulting from 1-D, 2-D and 3-D partial differential equations (PDE) that have been converted to ODEs by numerical differencing.
Author: Karline Soetaert [aut], Thomas Petzoldt [aut, cre], R. Woodrow Setzer [aut], odepack authors [cph]
Maintainer: Thomas Petzoldt <thomas.petzoldt@tu-dresden.de>

Diff between deSolve versions 1.12 dated 2015-07-06 and 1.13 dated 2016-03-01

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More information about deSolve at CRAN
Permanent link

Package cymruservices updated to version 0.2.0 with previous version 0.1.1 dated 2015-07-27

Title: Query 'Team Cymru' 'IP' Address, Autonomous System Number ('ASN'), Border Gateway Protocol ('BGP'), Bogon and 'Malware' Hash Data Services
Description: A toolkit for querying 'Team Cymru' <http://team-cymru.org> 'IP' address, Autonomous System Number ('ASN'), Border Gateway Protocol ('BGP'), Bogon and 'Malware' Hash Data Services.
Author: Bob Rudis [aut, cre]
Maintainer: Bob Rudis <bob@rudis.net>

Diff between cymruservices versions 0.1.1 dated 2015-07-27 and 0.2.0 dated 2016-03-01

 DESCRIPTION                         |   21 ++---
 MD5                                 |   32 ++++----
 NAMESPACE                           |    3 
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 tests/testthat/test-cymruservices.R |   31 +++++--
 18 files changed, 328 insertions(+), 127 deletions(-)

More information about cymruservices at CRAN
Permanent link

Package brotli updated to version 0.6 with previous version 0.5 dated 2016-01-23

Title: A Compression Format Optimized for the Web
Description: A lossless compressed data format that uses a combination of the LZ77 algorithm and Huffman coding. Brotli is similar in speed to deflate (gzip) but offers more dense compression.
Author: Jeroen Ooms [aut, cre], Google, Inc [aut, cph] (Brotli C++ library)
Maintainer: Jeroen Ooms <jeroen.ooms@stat.ucla.edu>

Diff between brotli versions 0.5 dated 2016-01-23 and 0.6 dated 2016-03-01

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More information about brotli at CRAN
Permanent link

Package ade4 updated to version 1.7-4 with previous version 1.7-3 dated 2015-11-22

Title: Analysis of Ecological Data : Exploratory and Euclidean Methods in Environmental Sciences
Description: Multivariate data analysis and graphical display.
Author: Stéphane Dray <stephane.dray@univ-lyon1.fr>, Anne-Béatrice Dufour <anne-beatrice.dufour@univ-lyon1.fr>, and Jean Thioulouse <jean.thioulouse@univ-lyon1.fr>, with contributions from Thibaut Jombart, Sandrine Pavoine, Jean R. Lobry, Sébastien Ollier, and Aurélie Siberchicot. Based on earlier work by Daniel Chessel.
Maintainer: Aurélie Siberchicot <aurelie.siberchicot@univ-lyon1.fr>

Diff between ade4 versions 1.7-3 dated 2015-11-22 and 1.7-4 dated 2016-03-01

 ChangeLog             |   67 ++++++++++++++++++++++++++++++++++++++++++++++++++
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More information about ade4 at CRAN
Permanent link

Package bigmemory updated to version 4.5.17 with previous version 4.5.11 dated 2016-02-22

Title: Manage Massive Matrices with Shared Memory and Memory-Mapped Files
Description: Create, store, access, and manipulate massive matrices. Matrices are allocated to shared memory and may use memory-mapped files. Packages 'biganalytics', 'bigtabulate', 'synchronicity', and 'bigalgebra' provide advanced functionality.
Author: Michael J. Kane <kaneplusplus@gmail.com>, John W. Emerson <jayemerson@gmail.com>, Peter Haverty <haverty.peter@gene.com>, and Charles Determan Jr. <cdetermanjr@gmail.com>
Maintainer: Michael J. Kane <bigmemoryauthors@gmail.com>

Diff between bigmemory versions 4.5.11 dated 2016-02-22 and 4.5.17 dated 2016-03-01

 DESCRIPTION                    |    8 +--
 MD5                            |   28 +++++-----
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 src/BigMatrix.cpp              |    7 +-
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 tests/testthat/test_misc.R     |    9 +--
 tests/testthat/test_readonly.R |   54 ++++++++++-----------
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Package RcppEigen updated to version 0.3.2.8.1 with previous version 0.3.2.8.0 dated 2016-02-23

Title: 'Rcpp' Integration for the 'Eigen' Templated Linear Algebra Library
Description: R and 'Eigen' integration using 'Rcpp'. 'Eigen' is a C++ template library for linear algebra: matrices, vectors, numerical solvers and related algorithms. It supports dense and sparse matrices on integer, floating point and complex numbers, decompositions of such matrices, and solutions of linear systems. Its performance on many algorithms is comparable with some of the best implementations based on 'Lapack' and level-3 'BLAS'. The 'RcppEigen' package includes the header files from the 'Eigen' C++ template library (currently version 3.2.8). Thus users do not need to install 'Eigen' itself in order to use 'RcppEigen'. Since version 3.1.1, 'Eigen' is licensed under the Mozilla Public License (version 2); earlier version were licensed under the GNU LGPL version 3 or later. 'RcppEigen' (the 'Rcpp' bindings/bridge to 'Eigen') is licensed under the GNU GPL version 2 or later, as is the rest of 'Rcpp'.
Author: Douglas Bates, Dirk Eddelbuettel, Romain Francois, and Yixuan Qiu; the authors of Eigen for the included version of Eigen
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between RcppEigen versions 0.3.2.8.0 dated 2016-02-23 and 0.3.2.8.1 dated 2016-03-01

 ChangeLog                                             |   15 
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 10 files changed, 592 insertions(+), 566 deletions(-)

More information about RcppEigen at CRAN
Permanent link

Package glmmLasso updated to version 1.4.0 with previous version 1.3.7 dated 2015-11-20

Title: Variable Selection for Generalized Linear Mixed Models by L1-Penalized Estimation
Description: A variable selection approach for generalized linear mixed models by L1-penalized estimation is provided.
Author: Andreas Groll
Maintainer: Andreas Groll <groll@mathematik.uni-muenchen.de>

Diff between glmmLasso versions 1.3.7 dated 2015-11-20 and 1.4.0 dated 2016-03-01

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Package XML updated to version 3.98-1.4 with previous version 3.98-1.3 dated 2015-06-30

Title: Tools for Parsing and Generating XML Within R and S-Plus
Description: Many approaches for both reading and creating XML (and HTML) documents (including DTDs), both local and accessible via HTTP or FTP. Also offers access to an 'XPath' "interpreter".
Author: Duncan Temple Lang and the CRAN Team
Maintainer: Duncan Temple Lang <duncan@r-project.org>

Diff between XML versions 3.98-1.3 dated 2015-06-30 and 3.98-1.4 dated 2016-03-01

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More information about XML at CRAN
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Package spduration updated to version 0.15.0 with previous version 0.14.0 dated 2015-10-27

Title: Split-Population Duration (Cure) Regression
Description: Functions for estimating split-duration regression models and various associated generic function methods.
Author: Andreas Beger [aut, cre], Daina Chiba [aut], Daniel Hill [aut], Nils Metternich [aut], Shahryar Minhas [aut], Michael Ward [cph]
Maintainer: Andreas Beger <adbeger@gmail.com>

Diff between spduration versions 0.14.0 dated 2015-10-27 and 0.15.0 dated 2016-03-01

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Package SGPdata updated to version 13.0-0.0 with previous version 12.0-0.0 dated 2015-12-04

Title: Exemplar Data Sets for SGP Analyses
Description: Data sets utilized by the SGP Package as exemplars for users to conduct their own SGP analyses.
Author: Damian W. Betebenner [aut, cre], Adam Van Iwaarden [aut], Ben Domingue [aut]
Maintainer: Damian W. Betebenner <dbetebenner@nciea.org>

Diff between SGPdata versions 12.0-0.0 dated 2015-12-04 and 13.0-0.0 dated 2016-03-01

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Permanent link

Package semTools updated to version 0.4-11 with previous version 0.4-9 dated 2015-06-28

Title: Useful Tools for Structural Equation Modeling
Description: Provides useful tools for structural equation modeling packages.
Author: Sunthud Pornprasertmanit [aut, cre], Patrick Miller [aut], Alexander Schoemann [aut], Yves Rosseel [aut], Corbin Quick [ctb], Mauricio Garnier-Villarreal [ctb], James Selig [ctb], Aaron Boulton [ctb], Kristopher Preacher [ctb], Donna Coffman [ctb], Mijke Rhemtulla [ctb], Alexander Robitzsch [ctb], Craig Enders [ctb], Ruber Arslan [ctb], Bell Clinton [ctb], Pavel Panko [ctb], Edgar Merkle [ctb], Terry Jorgensen [ctb], Steven Chesnut [ctb], Jarrett Byrnes [ctb], Jason Rights [ctb]
Maintainer: Sunthud Pornprasertmanit <psunthud@gmail.com>

Diff between semTools versions 0.4-9 dated 2015-06-28 and 0.4-11 dated 2016-03-01

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 man/fitMeasuresMx.Rd             |    2 
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 man/probe3WayMC.Rd               |    2 
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 man/quark.Rd                     |    2 
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 man/reliabilityL2.Rd             |    2 
 man/residualCovariate.Rd         |    2 
 man/rotate.Rd                    |    2 
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 75 files changed, 912 insertions(+), 745 deletions(-)

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Package RCurl updated to version 1.95-4.8 with previous version 1.95-4.7 dated 2015-06-30

Title: General Network (HTTP/FTP/...) Client Interface for R
Description: A wrapper for 'libcurl' <http://curl.haxx.se/libcurl/> Provides functions to allow one to compose general HTTP requests and provides convenient functions to fetch URIs, get & post forms, etc. and process the results returned by the Web server. This provides a great deal of control over the HTTP/FTP/... connection and the form of the request while providing a higher-level interface than is available just using R socket connections. Additionally, the underlying implementation is robust and extensive, supporting FTP/FTPS/TFTP (uploads and downloads), SSL/HTTPS, telnet, dict, ldap, and also supports cookies, redirects, authentication, etc.
Author: Duncan Temple Lang and the CRAN team
Maintainer: Duncan Temple Lang <duncan@r-project.org>

Diff between RCurl versions 1.95-4.7 dated 2015-06-30 and 1.95-4.8 dated 2016-03-01

 Changes.html                   |    2 
 DESCRIPTION                    |   10 ++--
 MD5                            |   88 ++++++++++++++++++++---------------------
 NAMESPACE                      |    1 
 R/getFormParams.R              |    2 
 Todo.html                      |    2 
 getURL.html                    |   34 +++++++--------
 inst/doc/FAQ.html              |    6 +-
 inst/doc/RCurl.tex             |   10 ++--
 inst/doc/philosophy.html       |   46 ++++++++++-----------
 inst/doc/philosophy.xml        |   48 +++++++++++-----------
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 inst/examples/chunks.S         |    2 
 inst/examples/concurrent.S     |    2 
 inst/examples/concurrent.html  |   14 +++---
 inst/examples/concurrent.xml   |   18 ++++----
 inst/examples/curl.c           |    2 
 inst/examples/encoding.R       |    2 
 inst/examples/multi.S          |    8 +--
 inst/examples/nestedHTML.html  |    6 +-
 inst/examples/nestedHTML.xml   |    8 +--
 inst/examples/omg.netrc        |    2 
 inst/examples/postFormPasswd.R |    6 +-
 inst/examples/progress.S       |    2 
 inst/examples/xmlParse.html    |    4 -
 inst/examples/xmlParse.xml     |    8 +--
 man/MultiCURLHandle-class.Rd   |    2 
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 man/url.exists.Rd              |    4 -
 src/curl.c                     |    2 
 src/curl.c-expt                |    2 
 tests/jpeg.R                   |    2 
 45 files changed, 241 insertions(+), 240 deletions(-)

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Package provenance updated to version 1.4 with previous version 1.3 dated 2016-02-12

Title: Statistical Toolbox for Sedimentary Provenance Analysis
Description: Bundles a number of established statistical methods to facilitate the visual interpretation of large datasets in sedimentary geology. Includes functionality for adaptive kernel density estimation, multidimensional scaling, generalised procrustes analysis and individual differences scaling using a variety of dissimilarity measures. Univariate provenance proxies, such as single-grain ages or (isotopic) compositions are compared with the Kolmogorov- Smirnov dissimilarity and Sircombe-Hazelton L2-norm. Categorical provenance proxies, such as mineralogical, petrographic or chemical compositions are compared with the Aitchison and Bray-Curtis distances. Also included are tools to plot compositional data on ternary diagrams, to calculate the sample size required for specified levels of statistical precision, and to assess the effects of hydraulic sorting on detrital compositions. Includes an intuitive query-based user interface for users who are not proficient in R.
Author: Pieter Vermeesch [aut, cre]
Maintainer: Pieter Vermeesch <p.vermeesch@ucl.ac.uk>

Diff between provenance versions 1.3 dated 2016-02-12 and 1.4 dated 2016-03-01

 DESCRIPTION         |    6 +++---
 MD5                 |    8 ++++----
 R/gui.R             |   22 +++++++++++-----------
 R/provenance.R      |    7 ++++---
 man/plot.ternary.Rd |    2 +-
 5 files changed, 23 insertions(+), 22 deletions(-)

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Package pendensity updated to version 0.2.9 with previous version 0.2.8 dated 2015-04-08

Title: Density Estimation with a Penalized Mixture Approach
Description: Estimation of univariate (conditional) densities using penalized B-splines with automatic selection of optimal smoothing parameter.
Author: Christian Schellhase
Maintainer: Christian Schellhase <cschellhase@wiwi.uni-bielefeld.de>

Diff between pendensity versions 0.2.8 dated 2015-04-08 and 0.2.9 dated 2016-03-01

 DESCRIPTION               |    8 ++++----
 MD5                       |   12 ++++++------
 NAMESPACE                 |    2 ++
 R/plot.pendensity.R       |   23 ++++++++++++-----------
 build/vignette.rds        |binary
 man/pendensity-package.Rd |    4 ++--
 man/plot.pendensity.Rd    |    3 ++-
 7 files changed, 28 insertions(+), 24 deletions(-)

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Package pbapply updated to version 1.2-0 with previous version 1.1-3 dated 2015-11-24

Title: Adding Progress Bar to '*apply' Functions
Description: A lightweight package that adds progress bar to vectorized R functions ('*apply'). The implementation can easily be added to functions where showing the progress is useful (e.g. bootstrap). The type and style of the progress bar (with percentages or remaining time) can be set through options.
Author: Peter Solymos [aut, cre], Zygmunt Zawadzki [aut]
Maintainer: Peter Solymos <solymos@ualberta.ca>

Diff between pbapply versions 1.1-3 dated 2015-11-24 and 1.2-0 dated 2016-03-01

 DESCRIPTION             |   17 +-
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 NAMESPACE               |   16 +
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 R/windows/dopb.R        |   25 +-
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 man/pbapply.Rd          |  404 ++++++++++++++++++++++++------------------------
 man/pboptions.Rd        |  276 ++++++++++++++++----------------
 man/timerProgressBar.Rd |only
 tests/tests.R           |   82 ++++-----
 24 files changed, 809 insertions(+), 734 deletions(-)

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Package openair updated to version 1.7-3 with previous version 1.7 dated 2016-02-22

Title: Tools for the Analysis of Air Pollution Data
Description: Tools to analyse, interpret and understand air pollution data. Data are typically hourly time series and both monitoring data and dispersion model output can be analysed. Many functions can also be applied to other data, including meteorological and traffic data.
Author: David Carslaw [aut, cre], Karl Ropkins [aut]
Maintainer: David Carslaw <david.carslaw@york.ac.uk>

Diff between openair versions 1.7 dated 2016-02-22 and 1.7-3 dated 2016-03-01

 DESCRIPTION         |    8 
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 R/windRose.R        |    2 
 man/TheilSen.Rd     |  249 ++++++------
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 man/timeAverage.Rd  |   22 -
 man/trajCluster.Rd  |   12 
 20 files changed, 1460 insertions(+), 1313 deletions(-)

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Package mefa4 updated to version 0.3-3 with previous version 0.3-2 dated 2015-11-22

Title: Multivariate Data Handling with S4 Classes and Sparse Matrices
Description: An S4 update of the 'mefa' package using sparse matrices for enhanced efficiency. Sparse array-like objects are supported via lists of sparse matrices.
Author: Peter Solymos
Maintainer: Peter Solymos <solymos@ualberta.ca>

Diff between mefa4 versions 0.3-2 dated 2015-11-22 and 0.3-3 dated 2016-03-01

 mefa4-0.3-2/mefa4/R/mefa4extras.R    |only
 mefa4-0.3-2/mefa4/inst/extras        |only
 mefa4-0.3-3/mefa4/DESCRIPTION        |   11 +++---
 mefa4-0.3-3/mefa4/MD5                |   13 +++----
 mefa4-0.3-3/mefa4/NAMESPACE          |    3 +
 mefa4-0.3-3/mefa4/R/mefa4plus.R      |only
 mefa4-0.3-3/mefa4/R/mefa4utilities.R |   47 ++++++++++++++++++++++++++
 mefa4-0.3-3/mefa4/inst/ChangeLog     |   61 ++++++++++++++++++++++++-----------
 mefa4-0.3-3/mefa4/man/nameAlnum.Rd   |   26 +++++++++++++-
 9 files changed, 128 insertions(+), 33 deletions(-)

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Package Matrix updated to version 1.2-4 with previous version 1.2-3 dated 2015-11-28

Title: Sparse and Dense Matrix Classes and Methods
Description: Classes and methods for dense and sparse matrices and operations on them using 'LAPACK' and 'SuiteSparse'.
Author: Douglas Bates <bates@stat.wisc.edu> and Martin Maechler
Maintainer: Martin Maechler <mmaechler+Matrix@gmail.com>

Diff between Matrix versions 1.2-3 dated 2015-11-28 and 1.2-4 dated 2016-03-01

 DESCRIPTION                |    8 +++---
 MD5                        |   54 ++++++++++++++++++++++----------------------
 R/diagMatrix.R             |    2 +
 R/sparseMatrix.R           |   27 ++++++++++++++++------
 TODO                       |    4 +++
 build/vignette.rds         |binary
 inst/NEWS.Rd               |   21 +++++++++++++++++
 inst/doc/Comparisons.pdf   |binary
 inst/doc/Design-issues.pdf |binary
 inst/doc/Intro2Matrix.pdf  |binary
 inst/doc/Introduction.pdf  |binary
 inst/doc/sparseModels.pdf  |binary
 inst/test-tools-Matrix.R   |    3 --
 man/Matrix-class.Rd        |    7 ++++-
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 man/sparseMatrix-class.Rd  |    3 +-
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 src/CHOLMOD/Lib/Makefile   |    5 ++++
 src/Csparse.c              |    6 ++++
 src/Mutils.c               |    9 ++++---
 src/chm_common.c           |    4 +--
 src/dense.h                |    2 -
 src/dgCMatrix.c            |    2 -
 src/dgTMatrix.c            |   55 ++++++++++++++++++++++++++++++++++++---------
 src/factorizations.c       |   21 +++++++++--------
 src/init.c                 |    2 -
 tests/Simple.R             |   28 +++++++++++++++++++++-
 28 files changed, 227 insertions(+), 81 deletions(-)

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