Tue, 14 Jul 2015

Package verification updated to version 1.42 with previous version 1.41 dated 2014-12-24

Title: Weather Forecast Verification Utilities
Description: Utilities for verifying discrete, continuous and probabilistic forecasts, and forecasts expressed as parametric distributions are included.
Author: NCAR - Research Applications Laboratory
Maintainer: Eric Gilleland <ericg@ucar.edu>

Diff between verification versions 1.41 dated 2014-12-24 and 1.42 dated 2015-07-14

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 NAMESPACE              |   27 +++++++++++++++++++++++++++
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Package ridigbio updated to version 0.3 with previous version 0.2.2 dated 2015-06-11

Title: Interface to the iDigBio Data API
Description: An interface to iDigBio's search API that allows downloading specimen records. Searches are returned as a data.frame. Other functions such as the metadata end points return lists of information. iDigBio is a US project focused on digitizing and serving museum specimen collections on the web. See <https://www.idigbio.org> for information on iDigBio.
Author: Francois Michonneau [aut, cph], Matthew Collins [aut, cre], Scott Chamberlain [ctb]
Maintainer: Matthew Collins <mcollins@acis.ufl.edu>

Diff between ridigbio versions 0.2.2 dated 2015-06-11 and 0.3 dated 2015-07-14

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Package pxweb updated to version 0.5.57 with previous version 0.5.54 dated 2015-05-25

Title: R Interface to the PX-Web/PC-Axis API
Description: Generic interface for the PX-Web/PC-Axis API. The PX-Web/PC-Axis API is used by organizations such as Statistics Sweden and Statistics Finland to disseminate data. The R package can interact with all PX-Web/PC-Axis APIs to fetch information about the data hierarchy, extract metadata and extract and parse statistics to R data.frame format. PX-Web is a solution to disseminate PC-Axis data files in dynamic tables on the web. Since 2013 PX-Web contains an API to disseminate PC-Axis files.
Author: Mans Magnusson, Leo Lahti, Love Hansson
Maintainer: Mans Magnusson <mons.magnusson@gmail.com>

Diff between pxweb versions 0.5.54 dated 2015-05-25 and 0.5.57 dated 2015-07-14

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Package pogit updated to version 1.0.1 with previous version 1.0.0 dated 2015-05-02

Title: Bayesian Variable Selection for a Poisson-Logistic Model
Description: Bayesian variable selection for regression models of under-reported count data as well as for Poisson and binomial logit regression models using spike and slab priors.
Author: Michaela Dvorzak [aut, cre], Helga Wagner [aut]
Maintainer: Michaela Dvorzak <m.dvorzak@gmx.at>

Diff between pogit versions 1.0.0 dated 2015-05-02 and 1.0.1 dated 2015-07-14

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New package locfdr with initial version 1.1-8
Package: locfdr
Version: 1.1-8
Title: Computes Local False Discovery Rates
Authors@R: c(person("Bradley", "Efron", role=c("aut"), email = "brad@stat.Stanford.EDU"), person("Brit", "Turnbull", role=c("aut")), person("Balasubramanian", "Narasimhan", role=c("aut", "cre"), email = "naras@stat.Stanford.EDU"), person("Korbinian", "Strimmer", role=c("ctb")))
Maintainer: Balasubramanian Narasimhan <naras@stat.Stanford.EDU>
License: GPL-2
Imports: stats, splines, graphics
Description: Computation of local false discovery rates.
NeedsCompilation: no
Packaged: 2015-07-14 19:43:25 UTC; naras
Author: Bradley Efron [aut], Brit Turnbull [aut], Balasubramanian Narasimhan [aut, cre], Korbinian Strimmer [ctb]
Repository: CRAN
Date/Publication: 2015-07-15 01:48:23

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Package distcomp updated to version 0.25.2 with previous version 0.25.1 dated 2015-06-03

Title: Computations over Distributed Data without Aggregation
Description: Implementing algorithms and fitting models when sites (possibly remote) share computation summaries rather than actual data over HTTP with a master R process (using 'opencpu', for example). A stratified Cox model and a singular value decomposition are provided. The former makes direct use of code from the R 'survival' package. (That is, the underlying Cox model code is derived from that in the R 'survival' package.) Sites may provide data via several means: CSV files, Redcap API, etc. An extensible design allows for new methods to be added in the future. Web applications are provided (via 'shiny') for the implemented methods to help in designing and deploying the computations.
Author: Balasubramanian Narasimhan [aut, cre], Marina Bendersky [aut], Sam Gross [aut], Terry M. Therneau [ctb], Thomas Lumley [ctb]
Maintainer: Balasubramanian Narasimhan <naras@stat.Stanford.EDU>

Diff between distcomp versions 0.25.1 dated 2015-06-03 and 0.25.2 dated 2015-07-14

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Package clusterSEs updated to version 2.0.1 with previous version 2.0 dated 2015-06-23

Title: Calculate Cluster-Robust p-Values and Confidence Intervals
Description: Calculate p-values and confidence intervals using cluster-adjusted t-statistics (based on Ibragimov and Muller 2010, Journal of Business and Economic Statistics 28(4)), pairs cluster bootstrapped t-statistics, and wild cluster bootstrapped t-statistics (the latter two techniques based on Cameron, Gelbach, and Miller 2008, Review of Economics and Statistics 90(3)). Procedures are included for use with GLM, ivreg, plm (fixed effects), and mlogit models.
Author: Justin Esarey [aut, cre]
Maintainer: Justin Esarey <justin@justinesarey.com>

Diff between clusterSEs versions 2.0 dated 2015-06-23 and 2.0.1 dated 2015-07-14

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Package poppr updated to version 2.0.1 with previous version 2.0.0 dated 2015-07-08

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], Jonah C. Brooks [aut], Niklaus J. Grunwald [ths]
Maintainer: Zhian N. Kamvar <kamvarz@science.oregonstate.edu>

Diff between poppr versions 2.0.0 dated 2015-07-08 and 2.0.1 dated 2015-07-14

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Package polspline updated to version 1.1.12 with previous version 1.1.11 dated 2015-07-02

Title: Polynomial Spline Routines
Description: Routines for the polynomial spline fitting routines hazard regression, hazard estimation with flexible tails, logspline, lspec, polyclass, and polymars, by C. Kooperberg and co-authors.
Author: Charles Kooperberg <clk@fredhutch.org>
Maintainer: Charles Kooperberg <clk@fredhutch.org>

Diff between polspline versions 1.1.11 dated 2015-07-02 and 1.1.12 dated 2015-07-14

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Package HHG updated to version 1.5.1 with previous version 1.5 dated 2015-06-18

Title: Heller-Heller-Gorfine Tests of Independence and Equality of Distributions
Description: Heller-Heller-Gorfine (HHG) tests are a set of powerful statistical tests of multivariate k-sample homogeneity and independence. For the univariate case, the package also offers implementations of the MinP DDP and MinP ADP tests, which are consistent against all continuous alternatives but are distribution-free, and are thus much faster to apply.
Author: Barak Brill & Shachar Kaufman, based in part on an earlier implementation by Ruth Heller and Yair Heller.
Maintainer: Barak Brill <barakbri@mail.tau.ac.il>

Diff between HHG versions 1.5 dated 2015-06-18 and 1.5.1 dated 2015-07-14

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Package excel.link updated to version 0.9.1 with previous version 0.8.1 dated 2015-05-06

Title: Convenient Data Exchange with Microsoft Excel
Description: Allows access to data in running instance of Microsoft Excel (e. g. 'xl[a1] = xl[b2]*3' and so on). Graphics can be transferred with 'xl[a1] = current.graphics()'. There is an Excel workbook with examples of calling R from Excel in the 'doc' folder. It tries to keep things as simple as possible - there are no needs in any additional installations besides R, only 'VBA' code in the Excel workbook. Microsoft Excel is required for this package.
Author: Gregory Demin <excel.link.feedback@gmail.com>. To comply CRAN policy includes source code from 'RDCOMClient' (http://www.omegahat.org/RDCOMClient) by Duncan Temple Lang <duncan@wald.ucdavis.edu>.
Maintainer: Gregory Demin <excel.link.feedback@gmail.com>

Diff between excel.link versions 0.8.1 dated 2015-05-06 and 0.9.1 dated 2015-07-14

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New package dynpred with initial version 0.1.2
Package: dynpred
Version: 0.1.2
Date: 2015-07-13
Title: Companion Package to "Dynamic Prediction in Clinical Survival Analysis"
Author: Hein Putter
Maintainer: Hein Putter <H.Putter@lumc.nl>
Depends: survival
Imports: graphics, stats, utils
Suggests: mstate
Description: The dynpred package contains functions for dynamic prediction in survival analysis.
License: GPL (>= 2)
URL: http://www.msbi.nl/putter
NeedsCompilation: yes
Packaged: 2015-07-13 19:19:38 UTC; hein
Repository: CRAN
Date/Publication: 2015-07-13 21:22:03

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New package assertive.base with initial version 0.0-1
Package: assertive.base
Type: Package
Title: A Lightweight Core of the 'assertive' Package
Version: 0.0-1
Date: 2015-07-14
Author: Richard Cotton [aut, cre]
Maintainer: Richard Cotton <richierocks@gmail.com>
Authors@R: person("Richard", "Cotton", role = c("aut", "cre"), email = "richierocks@gmail.com")
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.
Depends: R (>= 3.0.0)
Imports: methods, utils
Suggests: testthat, devtools
License: GPL (>= 3)
LazyLoad: yes
LazyData: yes
Acknowledgments: Development of this package was partially funded by the Proteomics Core at Weill Cornell Medical College in Qatar <http://qatar-weill.cornell.edu>. The Core is supported by 'Biomedical Research Program' funds, a program funded by Qatar Foundation.
NeedsCompilation: no
Packaged: 2015-07-14 18:39:17 UTC; richie
Repository: CRAN
Date/Publication: 2015-07-14 21:44:08

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New package vertexenum with initial version 1.0
Package: vertexenum
Version: 1.0
Date: 2015-07-13
Title: Vertex Enumeration of Polytopes
Author: Robert Robere
Maintainer: Robert Robere <robere@cs.toronto.edu>
Depends: R (>= 1.8.0), numbers
Description: When given a description of a polyhedral set by a system of linear inequalities Ax <= b, produce the list of the vertices of the set.
License: GPL (>= 2)
Packaged: 2015-07-13 18:44:38 UTC; robere
NeedsCompilation: yes
Repository: CRAN
Date/Publication: 2015-07-14 20:41:05

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Package TSdist updated to version 3.1 with previous version 2.2 dated 2015-04-14

Title: Distance Measures for Time Series Data
Description: A set of commonly used distance measures and some additional functions which, although initially not designed for this purpose, can be used to measure the dissimilarity between time series. These measures can be used to perform clustering, classification or other data mining tasks which require the definition of a distance measure between time series.
Author: Usue Mori, Alexander Mendiburu, J.A. Lozano
Maintainer: Usue Mori <usue.mori@ehu.es>

Diff between TSdist versions 2.2 dated 2015-04-14 and 3.1 dated 2015-07-14

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Permanent link

Package treatSens updated to version 2.0 with previous version 1.1 dated 2015-04-21

Title: Sensitivity Analysis for Causal Inference
Description: Utilities to investigate sensitivity to unmeasured confounding in parametric models with either binary or continuous treatment.
Author: Nicole Bohme Carnegie [aut, cre], Masataka Harada [aut], Vincent Dorie [aut], Jennifer Hill [ctb]
Maintainer: Nicole Bohme Carnegie <carnegin@uwm.edu>

Diff between treatSens versions 1.1 dated 2015-04-21 and 2.0 dated 2015-07-14

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Package TraMineR updated to version 1.8-10 with previous version 1.8-9 dated 2015-01-27

Title: Trajectory Miner: a Toolbox for Exploring and Rendering Sequences
Description: Toolbox for the manipulation, description and rendering of sequences, and more generally the mining of sequence data in the field of social sciences. Although the toolbox is primarily intended for analyzing state or event sequences that describe life courses such as family formation histories or professional careers, its features also apply to many other kinds of categorical sequence data. It accepts many different sequence representations as input and provides tools for converting sequences from one format to another. It offers several functions for describing and rendering sequences, for computing distances between sequences with different metrics (among which optimal matching), original dissimilarity-based analysis tools, and simple functions for extracting the most frequent subsequences and identifying the most discriminating ones among them. A user's guide can be found on the TraMineR web page.
Author: Alexis Gabadinho [aut, cph], Matthias Studer [aut, cph], Nicolas Muller [aut], Reto Buergin [aut], Gilbert Ritschard [aut, cre, cph]
Maintainer: Gilbert Ritschard <gilbert.ritschard@unige.ch>

Diff between TraMineR versions 1.8-9 dated 2015-01-27 and 1.8-10 dated 2015-07-14

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 16 files changed, 88 insertions(+), 204 deletions(-)

More information about TraMineR at CRAN
Permanent link

Package stargazer updated to version 5.2 with previous version 5.1 dated 2014-05-29

Title: Well-Formatted Regression and Summary Statistics Tables
Description: Produces LaTeX code, HTML/CSS code and ASCII text for well-formatted tables that hold regression analysis results from several models side-by-side, as well as summary statistics.
Author: Marek Hlavac <hlavac@fas.harvard.edu>
Maintainer: Marek Hlavac <hlavac@fas.harvard.edu>

Diff between stargazer versions 5.1 dated 2014-05-29 and 5.2 dated 2015-07-14

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Package SoundexBR updated to version 1.2 with previous version 1.1 dated 2015-01-21

Title: Phonetic-Coding for Portuguese
Description: The SoundexBR package provides an algorithm for decoding names into phonetic codes, as pronounced in Portuguese. The goal is for homophones to be encoded to the same representation so that they can be matched despite minor differences in spelling. The algorithm mainly encodes consonants; a vowel will not be encoded unless it is the first letter. The soundex code resultant consists of a four digits long string composed by one letter followed by three numerical digits: the letter is the first letter of the name, and the digits encode the remaining consonants.
Author: Daniel Marcelino
Maintainer: Daniel Marcelino <dmarcelino@live.com>

Diff between SoundexBR versions 1.1 dated 2015-01-21 and 1.2 dated 2015-07-14

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Package rsdmx updated to version 0.4-7 with previous version 0.4-6 dated 2015-05-01

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 0.4-6 dated 2015-05-01 and 0.4-7 dated 2015-07-14

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Package RcppEigen updated to version 0.3.2.5.0 with previous version 0.3.2.4.0 dated 2015-02-27

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 3.2.5). 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, Romain Francois and Dirk Eddelbuettel; the authors of Eigen for the included version of Eigen
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between RcppEigen versions 0.3.2.4.0 dated 2015-02-27 and 0.3.2.5.0 dated 2015-07-14

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 63 files changed, 999 insertions(+), 598 deletions(-)

More information about RcppEigen at CRAN
Permanent link

Package rattle updated to version 3.5.0 with previous version 3.4.1 dated 2014-12-30

Title: Graphical User Interface for Data Mining in R
Description: The R Analytic Tool To Learn Easily (Rattle) provides a Gnome (RGtk2) based interface to R functionality for data mining. The aim is to provide a simple and intuitive interface that allows a user to quickly load data from a CSV file (or via ODBC), transform and explore the data, build and evaluate models, and export models as PMML (predictive modelling markup language) or as scores. All of this with knowing little about R. All R commands are logged and commented through the log tab. Thus they are available to the user as a script file or as an aide for the user to learn R or to copy-and-paste directly into R itself. Rattle also exports a number of utility functions and the graphical user interface, invoked as rattle(), does not need to be run to deploy these.
Author: Graham Williams [aut, cph, cre], Mark Vere Culp [cph], Ed Cox [ctb], Anthony Nolan [ctb], Denis White [cph], Daniele Medri [ctb], Akbar Waljee [ctb] (OOB AUC for Random Forest), Brian Ripley [cph] (Author of original print.summary.nnet)
Maintainer: Graham Williams <Graham.Williams@togaware.com>

Diff between rattle versions 3.4.1 dated 2014-12-30 and 3.5.0 dated 2015-07-14

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Package pracma updated to version 1.8.6 with previous version 1.8.3 dated 2015-02-08

Title: Practical Numerical Math Functions
Description: Functions from numerical analysis and linear algebra, numerical optimization, differential equations, plus some special functions. Uses Matlab function names where appropriate to simplify porting.
Author: Hans Werner Borchers
Maintainer: Hans W. Borchers <hwborchers@googlemail.com>

Diff between pracma versions 1.8.3 dated 2015-02-08 and 1.8.6 dated 2015-07-14

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New package qrjoint with initial version 0.1-1
Package: qrjoint
Version: 0.1-1
Date: 2015-07-04
Title: Joint Estimation in Linear Quantile Regression
Author: Surya Tokdar <tokdar@stat.duke.edu>
Maintainer: Surya Tokdar <tokdar@stat.duke.edu>
Depends: R (>= 2.6), stats, graphics, grDevices, quantreg
Imports: splines, coda, Matrix, kernlab
Description: Joint estimation of quantile specific intercept and slope parameters in a linear regression setting.
License: GPL-2
Packaged: 2015-07-11 17:26:28 UTC; suryatokdar
NeedsCompilation: yes
Repository: CRAN
Date/Publication: 2015-07-14 20:40:56

More information about qrjoint at CRAN
Permanent link

Package neotoma updated to version 1.3.1 with previous version 1.3.0 dated 2015-05-29

Title: Access to the Neotoma Paleoecological Database Through R
Description: Access paleoecological datasets from the Neotoma Paleoecological Database using the published API (http://api.neotomadb.org/). The functions in this package access various pre-built API functions and attempt to return the results from Neotoma in a usable format for researchers and the public.
Author: Simon J. Goring [aut, cre], Gavin L. Simpson [aut], Jeremiah P. Marsicek [ctb], Karthik Ram [aut], Luke Sosalla [ctb]
Maintainer: Simon J. Goring <goring@wisc.edu>

Diff between neotoma versions 1.3.0 dated 2015-05-29 and 1.3.1 dated 2015-07-14

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Package lm.br updated to version 2.7 with previous version 2.6 dated 2014-11-14

Title: Linear Model with Breakpoint
Description: Exact significance tests for a changepoint in linear or multiple linear regression. Confidence regions with exact coverage probabilities for the changepoint.
Author: Marc Adams [aut, cre], authors of R function 'lm' [ctb] (general interface), authors of 'lm.gls' [ctb] (interface and R code for covariate weights), U.S. NIST [ctb] (C++ code for TNT::Vector template)
Maintainer: Marc Adams <lm.br.pkg@gmail.com>

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Package gridExtra updated to version 2.0.0 with previous version 0.9.1 dated 2012-08-09

Title: Miscellaneous Functions for "Grid" Graphics
Description: Provides a number of user-level functions to work with "grid" graphics, notably to arrange multiple grid-based plots on a page, and draw tables.
Author: Baptiste Auguie [aut, cre], Anton Antonov [ctb]
Maintainer: Baptiste Auguie <baptiste.auguie@gmail.com>

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Package future updated to version 0.7.0 with previous version 0.6.0 dated 2015-06-19

Title: A Future API for R
Description: A Future API for R is provided. In programming, a future is an abstraction for a value that may be available at some point in the future. The state of a future can either be unresolved or resolved. As soon as it is resolved, the value is available. Futures are useful constructs in for instance concurrent evaluation, e.g. multicore parallel processing and distributed processing on compute clusters. The purpose of this package is to provide a lightweight interface for using futures in R. Functions 'future()' and 'value()' exist for creating futures and requesting their values. An infix assignment operator '%<=%' exists for creating futures whose values are accessible by the assigned variables (as promises). This package implements the synchronous "lazy" and "eager" futures, and the asynchronous "multicore" future (not on Windows). Additional types of futures are provided by other packages enhancing this package.
Author: Henrik Bengtsson [aut, cre, cph]
Maintainer: Henrik Bengtsson <henrikb@braju.com>

Diff between future versions 0.6.0 dated 2015-06-19 and 0.7.0 dated 2015-07-14

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New package FCNN4R with initial version 0.3.0
Package: FCNN4R
Type: Package
Title: Fast Compressed Neural Networks for R
Version: 0.3.0
Date: 2015-07-13
Author: Grzegorz Klima <gklima@users.sourceforge.net>
Maintainer: Grzegorz Klima <gklima@users.sourceforge.net>
Description: The FCNN4R package 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) 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).
Depends: R (>= 3.0), stats, graphics, methods, Rcpp
License: GPL (>= 2)
Packaged: 2015-07-13 21:10:04 UTC; chaos
NeedsCompilation: yes
Repository: CRAN
Date/Publication: 2015-07-14 20:24:16

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Package decode updated to version 1.2 with previous version 1.1 dated 2015-03-18

Title: Differential Co-Expression and Differential Expression Analysis
Description: Integrated differential expression (DE) and differential co-expression (DC) analysis on gene expression data based on DECODE (DifferEntial CO-expression and Differential Expression) algorithm.
Author: Thomas Lui [aut, cre]
Maintainer: Thomas Lui <tlui27@yahoo.com>

Diff between decode versions 1.1 dated 2015-03-18 and 1.2 dated 2015-07-14

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Package dbmss updated to version 2.2.1 with previous version 2.2.0 dated 2015-03-11

Title: Distance-Based Measures of Spatial Structures
Description: Simple computation of spatial statistic functions of distance to characterize the spatial structures of mapped objects, including classical ones (Ripley's K and others) and more recent ones used by spatial economists (Duranton and Overman's Kd, Marcon and Puech's M). Relies on spatstat for some core calculation.
Author: Eric Marcon, Gabriel Lang, Stephane Traissac, Florence Puech
Maintainer: Eric Marcon <Eric.Marcon@ecofog.gf>

Diff between dbmss versions 2.2.0 dated 2015-03-11 and 2.2.1 dated 2015-07-14

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New package coala with initial version 0.1.0
Package: coala
Version: 0.1.0
Date: 2015-07-14
License: MIT + file LICENSE
Title: A Framework for Coalescent Simulation
Authors@R: c( person('Paul', 'Staab', , 'develop@paulstaab.de', role=c('aut', 'cre', 'cph')), person('Dirk', 'Metzler', role=c('ths')) )
BugReports: https://github.com/statgenlmu/coala/issues
URL: https://github.com/statgenlmu/coala
Description: Coalescent simulators can rapidly simulate biological sequences evolving according to a given model of evolution. This package allows to specify such models, transparently calls a suitable simulator, parses the results and calculates additional summary statistics. It supports the simulators 'ms', 'msms' and 'scrm' and can simulate finite-sites mutation models by combining the simulators with the program 'seq-gen'.
Depends: R (>= 3.1.0)
Imports: assertthat (>= 0.1), methods, R6 (>= 2.0.1), Rcpp (>= 0.11.0), rehh (>= 1.11), scrm (>= 1.6.0-2), stats, utils
Suggests: abc (>= 2.0), knitr, rmarkdown, testthat (>= 0.10.0)
LinkingTo: Rcpp, RcppArmadillo (>= 0.3.810.0)
VignetteBuilder: knitr
Collate: 'RcppExports.R' 'cache.R' 'coala.R' 'feature.R' 'feature_growth.R' 'feature_migration.R' 'feature_mutation.R' 'feature_outgroup.R' 'feature_pop_merge.R' 'feature_recombination.R' 'feature_sample.R' 'feature_selection.R' 'feature_size_change.R' 'feature_sumstats.R' 'feature_unphased.R' 'locus.R' 'model.R' 'model_build.R' 'model_check.R' 'model_examples.R' 'model_getters.R' 'model_print.R' 'model_scale.R' 'model_simulate.R' 'onLoad.R' 'par_zero_inflation.R' 'parameter.R' 'parameter_prior.R' 'parameter_variation.R' 'sample_seed.R' 'search_executable.R' 'simulator_class.R' 'simulator_ms.R' 'simulator_msms.R' 'simulator_scrm.R' 'simulator_seqgen.R' 'sumstat.R' 'sumstat_dna.R' 'sumstat_file.R' 'sumstat_four_gamete.R' 'sumstat_ihh.R' 'sumstat_jsfs.R' 'sumstat_nsl.R' 'sumstat_nucleotide_div.R' 'sumstat_omegaprime.R' 'sumstat_seg_sites.R' 'sumstat_sfs.R' 'sumstat_tajimas_d.R' 'sumstat_trees.R' 'tempfile.R'
NeedsCompilation: yes
Packaged: 2015-07-14 11:26:34 UTC; paul
Author: Paul Staab [aut, cre, cph], Dirk Metzler [ths]
Maintainer: Paul Staab <develop@paulstaab.de>
Repository: CRAN
Date/Publication: 2015-07-14 20:40:28

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Package cobs99 (with last version 0.9-12) was removed from CRAN

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

2013-06-12 0.9-12
2012-12-10 0.9-11
2010-08-12 0.9-10
2009-12-06 0.9-9
2009-11-03 0.9-8
2007-10-09 0.9-7
2006-10-02 0.9-6

Permanent link
Package sweidnumbr updated to version 0.6.1 with previous version 0.6.0 dated 2015-06-09

Title: Handling of Swedish Identity Numbers
Description: Structural handling of identity numbers used in the Swedish administration such as personal identity numbers ('personnummer') and organizational identity numbers ('organisationsnummer').
Author: Mans Magnusson and Erik Bulow
Maintainer: Mans Magnusson <mons.magnusson@gmail.com>

Diff between sweidnumbr versions 0.6.0 dated 2015-06-09 and 0.6.1 dated 2015-07-14

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New package woe with initial version 0.1
Package: woe
Type: Package
Title: Computes Weight of Evidence and Information Values
Version: 0.1
Date: 2015-07-07
Author: Sudarson Mothilal Thoppay <sudarson@outlook.com>
Maintainer: Sudarson Mothilal Thoppay <sudarson@outlook.com>
Description: Shows the relationship between an independent and dependent variable through Weight of Evidence and Information Value.
Depends: R (>= 3.1.0)
License: GPL-2
Repository: CRAN
Packaged: 2015-07-13 12:40:07 UTC; Muruga
NeedsCompilation: no
Date/Publication: 2015-07-14 15:57:08

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Package rspa updated to version 0.1.8 with previous version 0.1-7 dated 2015-06-10

Title: Adapt Numerical Records to Fit (in)Equality Restrictions
Description: Based on (optionally sparse) quadratic optimization with the main algorithms implemented in C. Includes features for easy processing of many (smaller) records. The algorithm has been tested on fairly large optimization problems with up to a few million variables and several hundred thousand restrictions.
Author: Mark van der Loo
Maintainer: Mark van der Loo <mark.vanderloo@gmail.com>

Diff between rspa versions 0.1-7 dated 2015-06-10 and 0.1.8 dated 2015-07-14

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New package speciesgeocodeR with initial version 1.0-3
Package: speciesgeocodeR
Type: Package
Title: Prepare Species Distributions for the Use in Phylogenetic Analyses
Version: 1.0-3
Date: 2015-07-13
Author: Alexander Zizka [aut, cre]
Maintainer: Alexander Zizka <alexander.zizka@bioenv.gu.se>
Description: Preparation of species occurrences data in relation to geographical areas for the use in phylogenetic analyses. SpeciesgeocodeR is built for data cleaning, data exploration and data analysis and especially suited for biogeographical and ecological questions on large datasets. The package includes the easy creation of summary-tables and -graphs and geographical maps, the automatic cleaning of geographic occurrence data, the calculating of coexistence matrices and species ranges (EOO) as well as mapping diversity in geographic areas.
License: GPL-3
Depends: R (>= 3.0.0), maps
Imports: stats, methods, utils, grDevices, graphics, maptools, sp, raster
Suggests: rgbif, geosphere
LazyData: true
NeedsCompilation: no
Packaged: 2015-07-13 09:22:49 UTC; xzizal
Repository: CRAN
Date/Publication: 2015-07-14 15:58:09

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Package robustlmm updated to version 1.7-4 with previous version 1.7-2 dated 2015-06-05

Title: Robust Linear Mixed Effects Models
Description: A method to fit linear mixed effects models robustly. Robustness is achieved by modification of the scoring equations combined with the Design Adaptive Scale approach.
Author: Manuel Koller
Maintainer: Manuel Koller <koller.manuel@gmail.com>

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Package recommenderlabJester updated to version 0.1-1 with previous version 0.1-0 dated 2011-11-10

Title: Jester Dataset for 'recommenderlab'
Description: Provides the Jester Dataset for package recommenderlab.
Author: Michael Hahsler
Maintainer: Michael Hahsler <mhahsler@smu.edu>

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Package recommenderlabBX updated to version 0.1-1 with previous version 0.1-0 dated 2011-11-10

Title: Book-Crossing Dataset (BX) for 'recommenderlab'
Description: Provides the Book-Crossing Dataset for the package recommenderlab.
Author: Michael Hahsler
Maintainer: Michael Hahsler <mhahsler@smu.edu>

Diff between recommenderlabBX versions 0.1-0 dated 2011-11-10 and 0.1-1 dated 2015-07-14

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Package numbers updated to version 0.6-1 with previous version 0.5-9 dated 2015-07-10

Title: Number-Theoretic Functions
Description: Provides some number-theoretic functions for R.
Author: Hans Werner Borchers
Maintainer: Hans W. Borchers <hwborchers@googlemail.com>

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New package pystr with initial version 1.0.0
Package: pystr
Type: Package
Title: Python String Methods in R
Version: 1.0.0
Date: 2015-07-05
Author: Nicole White
URL: https://github.com/nicolewhite/pystr
BugReports: https://github.com/nicolewhite/pystr/issues
Description: String operations the Python way - a package for those of us who miss Python's string methods while we're working in R.
Maintainer: Nicole White <nicole.m.white@outlook.com>
License: MIT + file LICENSE
LazyData: TRUE
Suggests: testthat
NeedsCompilation: no
Packaged: 2015-07-13 14:51:17 UTC; nicole
Repository: CRAN
Date/Publication: 2015-07-14 16:05:27

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Package lmerTest updated to version 2.0-28 with previous version 2.0-25 dated 2015-04-20

Title: Tests in Linear Mixed Effects Models
Description: Different kinds of tests for linear mixed effects models as implemented in 'lme4' package are provided. The tests comprise types I - III F tests for fixed effects, LR tests for random effects. The package also provides the calculation of population means for fixed factors with confidence intervals and corresponding plots. Finally the backward elimination of non-significant effects is implemented.
Author: Alexandra Kuznetsova [aut, cre], Per Bruun Brockhoff [aut, ths], Rune Haubo Bojesen Christensen [aut]
Maintainer: Alexandra Kuznetsova <alku@dtu.dk>

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Package lattice updated to version 0.20-33 with previous version 0.20-31 dated 2015-03-30

Title: Trellis Graphics for R
Description: A powerful and elegant high-level data visualization system inspired by Trellis graphics, with an emphasis on multivariate data. Lattice is sufficient for typical graphics needs, and is also flexible enough to handle most nonstandard requirements. See ?Lattice for an introduction.
Author: Deepayan Sarkar <deepayan.sarkar@r-project.org>
Maintainer: Deepayan Sarkar <deepayan.sarkar@r-project.org>

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Package hoa updated to version 2.1.2 with previous version 2.1.1 dated 2015-07-04

Title: Higher Order Likelihood Inference
Description: Performs likelihood-based inference for a wide range of regression models. Provides higher-order approximations for inference based on extensions of saddlepoint type arguments as discussed in the book Applied Asymptotics: Case Studies in Small-Sample Statistics by Brazzale, Davison, and Reid (2007).
Author: R port by Alessandra R. Brazzale <alessandra.brazzale@unipd.it>, following earlier work by Douglas Bates. The function tem is based on work by Anthony Davison <Anthony.Davison@epfl.ch>
Maintainer: Alex-Antoine Fortin <alex@fortin.bio>

Diff between hoa versions 2.1.1 dated 2015-07-04 and 2.1.2 dated 2015-07-14

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New package HBglm with initial version 0.1
Package: HBglm
Type: Package
Title: Hierarchical Bayesian Regression for GLMs
Version: 0.1
Date: 2015-7-13
Imports: Formula, bayesm, sns, MfUSampler, stats
Author: Asad Hasan, Alireza S. Mahani
Maintainer: Asad Hasan <asad.hasan@sentrana.com>
Depends: R (>= 2.10)
Description: Convenient and efficient functions for performing 2-level hierarchical Bayesian regression analysis for multi-group data. The lowest level may belong to the generalized linear model (GLM) family while the prior level, which effects pooling, allows for linear regression on lower level covariates. Constraints on all or part of the parameter set maybe specified with ease. A rich set of methods is included to visualize and analyze results.
License: GPL (>= 2)
Packaged: 2015-07-13 15:32:06 UTC; ahasan
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2015-07-14 15:59:53

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Package extremevalues updated to version 2.3.1 with previous version 2.3.0 dated 2014-12-03

Title: Univariate Outlier Detection
Description: Detect outliers in one-dimensional data.
Author: Mark van der Loo <mark.vanderloo@gmail.com>
Maintainer: Mark van der Loo <mark.vanderloo@gmail.com>

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Package arules updated to version 1.1-9 with previous version 1.1-7 dated 2015-07-01

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>

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