Sun, 21 Jan 2018

Package MetaLonDA updated to version 1.0.9 with previous version 1.0.7 dated 2017-12-17

Title: Metagenomics Longitudinal Differential Abundance Method
Description: Identify time intervals of differentially abundant metagenomics features in longitudinal studies <doi:10.1145/3107411.3107429>.
Author: Ahmed Metwally, Yang Dai, Patricia Finn, David Perkins
Maintainer: Ahmed Metwally <ametwa2@uic.edu>

Diff between MetaLonDA versions 1.0.7 dated 2017-12-17 and 1.0.9 dated 2018-01-21

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Package ICAOD updated to version 0.9.6 with previous version 0.9.2 dated 2017-01-09

Title: Optimal Designs for Nonlinear Models
Description: Finds optimal designs for nonlinear models using a metaheuristic algorithm called imperialist competitive algorithm ICA. See, for details, Masoudi et al. (2017) <doi:10.1016/j.csda.2016.06.014>.
Author: Ehsan Masoudi [aut, cre], Heinz Holling [aut], Weng Kee Wong [aut]
Maintainer: Ehsan Masoudi <ehsan.masoudi@wwu.de>

Diff between ICAOD versions 0.9.2 dated 2017-01-09 and 0.9.6 dated 2018-01-21

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Package Rblpapi updated to version 0.3.8 with previous version 0.3.6 dated 2017-04-20

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>

Diff between Rblpapi versions 0.3.6 dated 2017-04-20 and 0.3.8 dated 2018-01-21

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Package listenv updated to version 0.7.0 with previous version 0.6.0 dated 2015-12-27

Title: Environments Behaving (Almost) as Lists
Description: List environments are environments that have list-like properties. For instance, the elements of a list environment are ordered and can be accessed and iterated over using index subsetting, e.g. 'x <- listenv(a = 1, b = 2); for (i in seq_along(x)) x[[i]] <- x[[i]] ^ 2; y <- as.list(x)'.
Author: Henrik Bengtsson [aut, cre, cph]
Maintainer: Henrik Bengtsson <henrikb@braju.com>

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Package grattan updated to version 1.5.3.1 with previous version 1.5.2.5 dated 2017-11-16

Title: Australian Tax Policy Analysis
Description: Utilities for costing and evaluating Australian tax policy, including high-performance tax and transfer calculators, a fast method of projecting tax collections, and an interface to common indices from the Australian Bureau of Statistics. Written to support Grattan Institute's Australian Perspectives program. For access to the 'taxstats' package, please run install.packages("taxstats", repos = "https://hughparsonage.github.io/drat/", type = "source"). N.B. The 'taxstats' package is approximately 50 MB.
Author: Hugh Parsonage [aut, cre], Tim Cameron [aut], Brendan Coates [aut], William Young [aut], Ittima Cherastidtham [dtc], W. Karsten [ctb], M. Enrique Garcia [ctb]
Maintainer: Hugh Parsonage <hugh.parsonage@gmail.com>

Diff between grattan versions 1.5.2.5 dated 2017-11-16 and 1.5.3.1 dated 2018-01-21

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Package joineRML updated to version 0.4.1 with previous version 0.4.0 dated 2017-11-11

Title: Joint Modelling of Multivariate Longitudinal Data and Time-to-Event Outcomes
Description: Fits the joint model proposed by Henderson and colleagues (2000) <doi:10.1093/biostatistics/1.4.465>, but extended to the case of multiple continuous longitudinal measures. The time-to-event data is modelled using a Cox proportional hazards regression model with time-varying covariates. The multiple longitudinal outcomes are modelled using a multivariate version of the Laird and Ware linear mixed model. The association is captured by a multivariate latent Gaussian process. The model is estimated using a Monte Carlo Expectation Maximization algorithm. This project is funded by the Medical Research Council (Grant number MR/M013227/1).
Author: Graeme L. Hickey [cre, aut], Pete Philipson [aut], Andrea Jorgensen [aut], Ruwanthi Kolamunnage-Dona [aut], Paula Williamson [ctb], Dimitris Rizopoulos [ctb, dtc] (data/renal.rda, R/hessian.R, R/vcov.R), Alessandro Gasparini [ctb], Medical Research Council [fnd] (Grant number: MR/M013227/1)
Maintainer: Graeme L. Hickey <graeme.hickey@liverpool.ac.uk>

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Package MCMCpack updated to version 1.4-2 with previous version 1.4-1 dated 2017-12-05

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 [aut], Kevin M. Quinn [aut], Jong Hee Park [aut,cre], Ghislain Vieilledent [ctb], Michael Malecki[ctb], Matthew Blackwell [ctb]
Maintainer: Jong Hee Park <jongheepark@snu.ac.kr>

Diff between MCMCpack versions 1.4-1 dated 2017-12-05 and 1.4-2 dated 2018-01-21

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Package itsmr updated to version 1.8 with previous version 1.7 dated 2017-11-05

Title: Time Series Analysis Using the Innovations Algorithm
Description: Provides functions for modeling and forecasting time series data. Forecasting is based on the innovations algorithm. A description of the innovations algorithm can be found in the textbook "Introduction to Time Series and Forecasting" by Peter J. Brockwell and Richard A. Davis. <http://www.springer.com/us/book/9781475777505>.
Author: George Weigt
Maintainer: George Weigt <g808391@icloud.com>

Diff between itsmr versions 1.7 dated 2017-11-05 and 1.8 dated 2018-01-21

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New package geophys with initial version 1.4-1
Package: geophys
Type: Package
Title: Geophysics, Continuum Mechanics, Gravity Modeling
Version: 1.4-1
Date: 2018-01-18
Depends: R (>= 2.15)
Imports: RPMG, RSEIS, RFOC, GEOmap, cluster
Suggests: stats
Authors@R: c(person(given="Jonathan M.", family="Lees", role = c("aut", "cre"),email = "jonathan.lees@unc.edu"), person("Jake", "Anderson", role = "ctb", email = "ajakef@gmail.com"), person(given='Francois' , family='Beauducel' , role='ctb'), person(given='Dmitry', family='Nicolsky', role='ctb'))
Author: Jonathan M. Lees [aut, cre], Jake Anderson [ctb], Francois Beauducel [ctb], Dmitry Nicolsky [ctb]
Maintainer: Jonathan M. Lees <jonathan.lees@unc.edu>
Description: Codes for analyzing various problems of geophysics, continuum mechanics and gravity models.
License: GPL (>= 2)
Copyright: see inst/COPYRIGHTS
Packaged: 2018-01-18 23:39:07 UTC; lees
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2018-01-21 19:39:01 UTC

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Package seplyr updated to version 0.5.3 with previous version 0.5.2 dated 2018-01-20

Title: Improved Standard Evaluation Interfaces for Common Data Manipulation Tasks
Description: The 'seplyr' (standard evaluation plying) package supplies improved standard evaluation adapter methods for important common 'dplyr' data manipulation tasks. In addition the 'seplyr' package supplies several new "key operations bound together" methods. These include 'group_summarize()' (which combines grouping, arranging and calculation in an atomic unit), 'add_group_summaries()' (which joins grouped summaries into a 'data.frame' in a well documented manner), 'add_group_indices()' (which adds per-group identifiers to a 'data.frame' without depending on row-order), 'partition_mutate_qt()' (which optimizes mutate sequences), and 'if_else_device()' (which simulates per-row if-else blocks in expression sequences).
Author: John Mount [aut, cre], Win-Vector LLC [cph]
Maintainer: John Mount <jmount@win-vector.com>

Diff between seplyr versions 0.5.2 dated 2018-01-20 and 0.5.3 dated 2018-01-21

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Package RTransProb updated to version 0.2.0 with previous version 0.1.0 dated 2017-04-11

Title: Analyze and Forecast Credit Migrations
Description: A set of functions used to automate commonly used methods in credit risk to estimate migration (transition) matrices. The package includes multiple methods for bootstrapping default rates and forecasting/stress testing credit exposures migrations, via Econometrics and Machine Learning algorithms.
Author: Ab NDiaye
Maintainer: Ab NDiaye <pabdndiaye@gmail.com>

Diff between RTransProb versions 0.1.0 dated 2017-04-11 and 0.2.0 dated 2018-01-21

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Package rSCA updated to version 3.0 with previous version 2.1 dated 2014-05-10

Title: An R Package for Stepwise Cluster Analysis
Description: A statistical tool for multivariate modeling and clustering using stepwise cluster analysis. The modeling output of rSCA is constructed as a cluster tree to represent the complicated relationships between multiple dependent and independent variables. A free tool (named rSCA Tree Generator) for visualizing the cluster tree from rSCA is also released and it can be downloaded at <https://rscatree.weebly.com/>.
Author: Xiuquan Wang
Maintainer: Xiuquan Wang <xiuquan.wang@gmail.com>

Diff between rSCA versions 2.1 dated 2014-05-10 and 3.0 dated 2018-01-21

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Package funModeling updated to version 1.6.7 with previous version 1.6.6 dated 2017-12-18

Title: Exploratory Data Analysis and Data Preparation Tool-Box Book
Description: Around 10% of almost any predictive modeling project is spent in predictive modeling, 'funModeling' and the book Data Science Live Book (<http://livebook.datascienceheroes.com/>) are intended to cover remaining 90%: data preparation, profiling, selecting best variables 'dataViz', assessing model performance and other functions.
Author: Pablo Casas
Maintainer: Pablo Casas <pcasas.biz@gmail.com>

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Package chunkR updated to version 1.1.0 with previous version 1.0.0 dated 2018-01-15

Title: Read Tables in Chunks
Description: Read external data tables chunk by chunk using a C++ backend and a simple R interface.
Author: Leandro Roser [aut, cre]
Maintainer: Leandro Roser <learoser@gmail.com>

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Package tropAlgebra updated to version 0.1.1 with previous version 0.1.0 dated 2017-08-01

Title: Tropical Algebraic Functions
Description: It includes functions like tropical addition, tropical multiplication for vectors and matrices. In tropical algebra, the tropical sum of two numbers is their minimum and the tropical product of two numbers is their ordinary sum. For more information see also I. Simon (1988) Recognizable sets with multiplicities in the tropical semi ring: Volume 324 Lecture Notes I Computer Science, pages 107-120 <doi: 10.1007/BFb0017135>.
Author: Muhammad Kashif Hanif [cre, aut], Rehman Ahmad [aut], Karl-Heinz Zimmermann [aut], Zia ul Qayyum [aut]
Maintainer: Muhammad Kashif Hanif <mkashifhanif@gcuf.edu.pk>

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Package MGLM updated to version 0.1.0 with previous version 0.0.9 dated 2018-01-14

Title: Multivariate Response Generalized Linear Models
Description: Provides functions that (1) fit multivariate discrete distributions, (2) generate random numbers from multivariate discrete distributions, and (3) run regression and penalized regression on the multivariate categorical response data. Implemented models include: multinomial logit model, Dirichlet multinomial model, generalized Dirichlet multinomial model, and negative multinomial model. Making the best of the minorization-maximization (MM) algorithm and Newton-Raphson method, we derive and implement stable and efficient algorithms to find the maximum likelihood estimates. On a multi-core machine, multi-threading is supported.
Author: Yiwen Zhang <zhangyiwen1015@gmail.com> and Hua Zhou <huazhou@ucla.edu>
Maintainer: Juhyun Kim <juhkim111@ucla.edu>

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Package FindIt updated to version 1.1.3 with previous version 1.1.2 dated 2017-10-05

Title: Finding Heterogeneous Treatment Effects
Description: The heterogeneous treatment effect estimation procedure proposed by Imai and Ratkovic (2013)<DOI: 10.1214/12-AOAS593>. The proposed method is applicable, for example, when selecting a small number of most (or least) efficacious treatments from a large number of alternative treatments as well as when identifying subsets of the population who benefit (or are harmed by) a treatment of interest. The method adapts the Support Vector Machine classifier by placing separate LASSO constraints over the pre-treatment parameters and causal heterogeneity parameters of interest. This allows for the qualitative distinction between causal and other parameters, thereby making the variable selection suitable for the exploration of causal heterogeneity. The package also contains a class of functions, CausalANOVA, which estimates the average marginal interaction effects (AMIEs) by a regularized ANOVA as proposed by Egami and Imai (2016+). It contains a variety of regularization techniques to facilitate analysis of large factorial experiments.
Author: Naoki Egami <negami@princeton.edu>, Marc Ratkovic <ratkovic@princeton.edu>, Kosuke Imai <kimai@princeton.edu>,
Maintainer: Naoki Egami <negami@princeton.edu>

Diff between FindIt versions 1.1.2 dated 2017-10-05 and 1.1.3 dated 2018-01-21

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Package fDMA updated to version 2.2.2 with previous version 2.2.1 dated 2017-11-24

Title: Dynamic Model Averaging and Dynamic Model Selection for Continuous Outcomes
Description: Allows to estimate dynamic model averaging, dynamic model selection and median probability model. The original methods are implemented, as well as, selected further modifications of these methods. In particular the user might choose between recursive moment estimation and exponentially moving average for variance updating. Inclusion probabilities might be modified in a way using 'Google Trends'. The code is written in a way which minimises the computational burden (which is quite an obstacle for dynamic model averaging if many variables are used). For example, this package allows for parallel computations and Occam's window approach. The package is designed in a way that is hoped to be especially useful in economics and finance. Main reference: Raftery, A.E., Karny, M., Ettler, P. (2010) <doi:10.1198/TECH.2009.08104>.
Author: Krzysztof Drachal [aut, cre] (Faculty of Economic Sciences, University of Warsaw, Poland)
Maintainer: Krzysztof Drachal <kdrachal@wne.uw.edu.pl>

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Package datastructures updated to version 0.2.1 with previous version 0.2.0 dated 2017-07-15

Title: Implementation of Core Data Structures
Description: Implementation of advanced data structures such as hashmaps, heaps, or queues. Advanced data structures are essential in many computer science and statistics problems, for example graph algorithms or string analysis. The package uses 'Boost' and 'STL' data types and extends these to R with 'Rcpp' modules.
Author: Simon Dirmeier [aut, cre]
Maintainer: Simon Dirmeier <simon.dirmeier@web.de>

Diff between datastructures versions 0.2.0 dated 2017-07-15 and 0.2.1 dated 2018-01-21

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Package CreditRisk updated to version 0.1.3 with previous version 0.1.1 dated 2017-10-02

Title: Evaluation of Credit Risk with Structural and Reduced Form Models
Description: Evaluation of default probability of sovereign and corporate entities based on structural or intensity based models and calibration on market Credit Default Swap quotes. Damiano Brigo, Massimo Morini, Andrea Pallavicini (2013): "Counterparty Credit Risk, Collateral and Funding. With Pricing Cases for All Asset Classes".
Author: Alessandro Cimarelli <alessandro.cimarelli@icloud.com> [anl, aut, cre] Nicolò Manca <n.manca1992@gmail.com> [anl, aut, cre]
Maintainer: Alessandro Cimarelli <alessandro.cimarelli@icloud.com>

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Package wrapr updated to version 1.1.1 with previous version 1.1.0 dated 2018-01-04

Title: Wrap R Functions for Debugging and Parametric Programming
Description: Powerful tools for writing and debugging R code. Provides: 'let()' which converts non-standard evaluation interfaces to parametric standard evaluation interface, 'DebugFnW()' to capture function context on error for debugging, and ':=' named map builder, and lambda-abstraction.
Author: John Mount [aut, cre], Nina Zumel [aut], Win-Vector LLC [cph]
Maintainer: John Mount <jmount@win-vector.com>

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Package snakecase updated to version 0.8.1 with previous version 0.7.1 dated 2018-01-08

Title: Convert Strings into any Case
Description: A consistent, flexible and easy to use tool to parse and convert strings into cases like snake or camel among others.
Author: Malte Grosser [aut, cre]
Maintainer: Malte Grosser <malte.grosser@gmail.com>

Diff between snakecase versions 0.7.1 dated 2018-01-08 and 0.8.1 dated 2018-01-21

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Package rMR updated to version 1.1.0 with previous version 1.0.5 dated 2017-09-08

Title: Importing Data from Loligo Systems Software, Calculating Metabolic Rates and Critical Tensions
Description: Analysis of oxygen consumption data generated by Loligo (R) Systems respirometry equipment. The package includes a function for loading data output by Loligo's 'AutoResp' software (get.witrox.data()), functions for calculating metabolic rates over user-specified time intervals, extracting critical points from data using broken stick regressions based on Yeager and Ultsch (<DOI:10.1086/physzool.62.4.30157935>), and easy functions for converting between different units of barometric pressure.
Author: Tyler L. Moulton
Maintainer: Tyler L. Moulton <tyler.moulton@cortland.edu>

Diff between rMR versions 1.0.5 dated 2017-09-08 and 1.1.0 dated 2018-01-21

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Package metaplot updated to version 0.4.0 with previous version 0.3.2 dated 2018-01-07

Title: Data-Driven Diagnostic Plots
Description: Designs plots in terms of core structure. See 'example(metaplot)'. Primary arguments are (unquoted) column names; order and type (numeric or not) dictate the resulting plot. Specify any y variables, x variable, any groups variable, and any conditioning variables to metaplot() to generate density plots, boxplots, scatterplots, scatterplot matrices, or conditioned plots. Use multiplot() to arrange plots in grids. Wherever present, scalar column attributes 'label' and 'guide' are honored, producing fully annotated plots with minimal effort. Attribute 'guide' is typically units, but may be encoded() to provide interpretations of categorical values (see '?encode'). Utility unpack() transforms scalar column attributes to row values and pack() does the reverse, supporting tool-neutral storage of metadata along with primary data. The package supports customizable aesthetics such as such as reference lines, unity lines, smooths, log transformation, and linear fits. Compact syntax and integrated metadata promote workflow scalability.
Author: Tim Bergsma
Maintainer: Tim Bergsma <bergsmat@gmail.com>

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Package lwgeom updated to version 0.1-3 with previous version 0.1-2 dated 2017-12-19

Title: Bindings to Selected 'liblwgeom' Functions for Simple Features
Description: Access to selected functions found in 'liblwgeom' <https://github.com/postgis/postgis/tree/svn-trunk/liblwgeom>, the light-weight geometry library used by 'PostGIS' <http://postgis.net/>.
Author: Edzer Pebesma [aut, cre] (0000-0001-8049-7069), Colin Rundel [ctb], liblwgeom developers [cph]
Maintainer: Edzer Pebesma <edzer.pebesma@uni-muenster.de>

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Package LinkageMapView updated to version 2.1.2 with previous version 2.1.0 dated 2017-05-26

Title: Plot Linkage Group Maps with Quantitative Trait Loci
Description: Produces high resolution, publication ready linkage maps and quantitative trait loci maps. Input can be output from 'R/qtl', simple text or comma delimited files. Output is currently a portable document file.
Author: Lisa Ouellette [aut, cre]
Maintainer: Lisa Ouellette <louellet@uncc.edu>

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Package scorecard updated to version 0.1.5 with previous version 0.1.4 dated 2017-12-17

Title: Credit Risk Scorecard
Description: Makes the development of credit risk scorecard easily and efficiently by providing functions such as information value, variable filter, optimal woe binning, scorecard scaling and performance evaluation etc. The references including: 1. Refaat, M. (2011, ISBN: 9781447511199). Credit Risk Scorecard: Development and Implementation Using SAS. 2. Siddiqi, N. (2006, ISBN: 9780471754510). Credit risk scorecards. Developing and Implementing Intelligent Credit Scoring.
Author: Shichen Xie
Maintainer: Shichen Xie <xie@shichen.name>

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Package nofrills updated to version 0.3.0 with previous version 0.2.1 dated 2017-12-16

Title: Low-Cost Anonymous Functions
Description: Provides a compact variation of the usual syntax of function declaration, in order to support tidyverse-style quasiquotation of a function's arguments and body.
Author: Eugene Ha [aut, cre]
Maintainer: Eugene Ha <eha@posteo.de>

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Package clustermq updated to version 0.8.3 with previous version 0.8.2.1 dated 2017-12-17

Title: Evaluate Function Calls on HPC Schedulers (LSF, SGE, SLURM)
Description: Evaluate arbitrary function calls using workers on HPC schedulers in single line of code. All processing is done on the network without accessing the file system. Remote schedulers are supported via SSH.
Author: Michael Schubert <mschu.dev@gmail.com>
Maintainer: Michael Schubert <mschu.dev@gmail.com>

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Package monogeneaGM (with last version 1.1) was removed from CRAN

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

2016-02-12 1.1
2015-07-16 1.0

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Package MODIS (with last version 1.1.1) was removed from CRAN

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

2018-01-20 1.1.1
2017-07-03 1.1.0
2017-01-10 1.0.0

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Package weatherData (with last version 0.5.0) was removed from CRAN

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

2017-06-05 0.5.0
2014-06-24 0.4.1
2014-04-30 0.4
2014-02-04 0.3

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Package PropClust updated to version 1.4-3 with previous version 1.4-2 dated 2013-12-18

Title: Propensity Clustering and Decomposition
Description: Implementation of propensity clustering and decomposition. Propensity decomposition can be viewed on the one hand as a generalization of the eigenvector-based approximation of correlation networks, and on the other hand as a generalization of random multigraph models and conformity-based decompositions.
Author: John Michael O Ranola, Kenneth Lange, Steve Horvath, Peter Langfelder
Maintainer: Peter Langfelder <Peter.Langfelder@gmail.com>

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Sat, 20 Jan 2018

Package seplyr updated to version 0.5.2 with previous version 0.5.1 dated 2018-01-03

Title: Improved Standard Evaluation Interfaces for Common Data Manipulation Tasks
Description: The 'seplyr' (standard evaluation plying) package supplies improved standard evaluation adapter methods for important common 'dplyr' data manipulation tasks. In addition the 'seplyr' package supplies several new "key operations bound together" methods. These include 'group_summarize()' (which combines grouping, arranging and calculation in an atomic unit), 'add_group_summaries()' (which joins grouped summaries into a 'data.frame' in a well documented manner), 'add_group_indices()' (which adds per-group identifiers to a 'data.frame' without depending on row-order), 'partition_mutate_qt()' (which optimizes mutate sequences), and 'if_else_device()' (which simulates per-row if-else blocks in expression sequences).
Author: John Mount [aut, cre], Win-Vector LLC [cph]
Maintainer: John Mount <jmount@win-vector.com>

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Package replyr updated to version 0.9.1 with previous version 0.9.0 dated 2017-11-12

Title: Reliable Plying of Remote or Big Data with R
Description: Methods to use 'dplyr' remote data sources ('SQL' databases, 'Spark' 2.0.0 and above) in a reliable "generic" fashion (generic meaning user code works similarly on all such sources, without needing per-source adaption). Adds convenience functions to make such tasks more like working with an in-memory R 'data.frame'.
Author: John Mount [aut, cre], Nina Zumel [aut], Win-Vector LLC [cph]
Maintainer: John Mount <jmount@win-vector.com>

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Package castor updated to version 1.3.2 with previous version 1.3 dated 2017-11-29

Title: Efficient Phylogenetics on Large Trees
Description: Efficient tree manipulations for large phylogenies, including pruning, rerooting, calculation of most-recent common ancestors, calculating distances from the tree root and calculating pairwise distances. Calculation of phylogenetic signal and mean trait depth (trait conservatism). Ancestral state reconstruction and hidden character prediction of discrete characters, using maximum likelihood and maximum parsimony methods. Simulating and fitting models of trait evolution, and generating random trees using birth-death models. Citation: Louca, Stilianos and Doebeli, Michael (2017) <doi:10.1093/bioinformatics/btx701>.
Author: Stilianos Louca
Maintainer: Stilianos Louca <louca@zoology.ubc.ca>

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Package ewoc updated to version 0.2.0 with previous version 0.1.0 dated 2017-10-18

Title: Escalation with Overdose Control
Description: An implementation of a variety of escalation with overdose control designs introduced by Babb, Rogatko and Zacks (1998) <doi:10.1002/(SICI)1097-0258(19980530)17:10%3C1103::AID-SIM793%3E3.0.CO;2-9>. It calculates the next dose as a clinical trial proceeds as well as performs simulations to obtain operating characteristics.
Author: Marcio A. Diniz <marcio.diniz@cshs.org>
Maintainer: Marcio A. Diniz <marcio.diniz@cshs.org>

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Package unpivotr updated to version 0.3.1 with previous version 0.3.0 dated 2017-12-03

Title: Unpivot Complex and Irregular Data Layouts
Description: Tools for converting data from complex or irregular layouts to a columnar structure. For example, tables with multilevel column or row headers, or spreadsheets. Header and data cells are selected by their contents and position, as well as formatting and comments where available, and are associated with one other by their proximity in given directions. Functions for data frames and HTML tables are provided.
Author: Duncan Garmonsway [aut, cre]
Maintainer: Duncan Garmonsway <nacnudus@gmail.com>

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Package agriTutorial updated to version 0.1.1 with previous version 0.1.0 dated 2018-01-09

Title: Tutorial Analysis of Some Agricultural Experiments
Description: Example software for the analysis of data from designed experiments, especially agricultural crop experiments. The basics of the statistical analysis of designed experiments are discussed using real examples from agricultural field trials. A range of statistical methods are exemplified using a range of R statistical packages. The experimental data is made available as separate data sets for each example and the R analysis code is made available as example code. The example code can be readily extended, as required.
Author: R. N. Edmondson and H.P. Piepho
Maintainer: Rodney Edmondson <rodney.edmondson@gmail.com>

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Package vtreat updated to version 1.0.2 with previous version 1.0.1 dated 2017-10-16

Title: A Statistically Sound 'data.frame' Processor/Conditioner
Description: A 'data.frame' processor/conditioner that prepares real-world data for predictive modeling in a statistically sound manner. 'vtreat' prepares variables so that data has fewer exceptional cases, making it easier to safely use models in production. Common problems 'vtreat' defends against: 'Inf', 'NA', too many categorical levels, rare categorical levels, and new categorical levels (levels seen during application, but not during training). 'vtreat::prepare' should be used as you would use 'model.matrix'.
Author: John Mount [aut, cre], Nina Zumel [aut], Win-Vector LLC [cph]
Maintainer: John Mount <jmount@win-vector.com>

Diff between vtreat versions 1.0.1 dated 2017-10-16 and 1.0.2 dated 2018-01-20

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Permanent link

Package urltools updated to version 1.7.0 with previous version 1.6.0 dated 2016-10-16

Title: Vectorised Tools for URL Handling and Parsing
Description: A toolkit for all URL-handling needs, including encoding and decoding, parsing, parameter extraction and modification. All functions are designed to be both fast and entirely vectorised. It is intended to be useful for people dealing with web-related datasets, such as server-side logs, although may be useful for other situations involving large sets of URLs.
Author: Oliver Keyes [aut, cre], Jay Jacobs [aut, cre], Drew Schmidt [aut], Mark Greenaway [ctb], Bob Rudis [ctb], Alex Pinto [ctb], Maryam Khezrzadeh [ctb], Peter Meilstrup [ctb], Adam M. Costello [cph], Jeff Bezanson [cph], Peter Meilstrup [ctb], Xueyuan Jiang [ctb]
Maintainer: Oliver Keyes <ironholds@gmail.com>

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Package svgViewR updated to version 1.3 with previous version 1.2 dated 2016-09-26

Title: 3D Animated Interactive Visualizations Using SVG
Description: Creates 3D animated, interactive visualizations that can be viewed in a web browser.
Author: Aaron Olsen
Maintainer: Aaron Olsen <aarolsen@gmail.com>

Diff between svgViewR versions 1.2 dated 2016-09-26 and 1.3 dated 2018-01-20

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Package StanHeaders updated to version 2.17.2 with previous version 2.17.1 dated 2017-12-20

Title: C++ Header Files for Stan
Description: The C++ header files of the Stan project are provided by this package, but it contains no R code, vignettes, or function documentation. There is a shared object containing part of the 'CVODES' library, but it is not accessible from R. 'StanHeaders' is only useful for developers who want to utilize the 'LinkingTo' directive of their package's DESCRIPTION file to build on the Stan library without incurring unnecessary dependencies. The Stan project develops a probabilistic programming language that implements full or approximate Bayesian statistical inference via Markov Chain Monte Carlo or 'variational' methods and implements (optionally penalized) maximum likelihood estimation via optimization. The Stan library includes an advanced automatic differentiation scheme, 'templated' statistical and linear algebra functions that can handle the automatically 'differentiable' scalar types (and doubles, 'ints', etc.), and a parser for the Stan language. The 'rstan' package provides user-facing R functions to parse, compile, test, estimate, and analyze Stan models.
Author: Ben Goodrich [cre, aut], Joshua Pritikin [ctb], Andrew Gelman [aut], Bob Carpenter [aut], Matt Hoffman [aut], Daniel Lee [aut], Michael Betancourt [aut], Marcus Brubaker [aut], Jiqiang Guo [aut], Peter Li [aut], Allen Riddell [aut], Marco Inacio [aut], Mitzi Morris [aut], Jeffrey Arnold [aut], Rob Goedman [aut], Brian Lau [aut], Rob Trangucci [aut], Jonah Gabry [aut], Alp Kucukelbir [aut], Robert Grant [aut], Dustin Tran [aut], Michael Malecki [aut], Yuanjun Gao [aut], Trustees of Columbia University [cph], Lawrence Livermore National Security [cph] (CVODES), The Regents of the University of California [cph] (CVODES), Southern Methodist University [cph] (CVODES)
Maintainer: Ben Goodrich <benjamin.goodrich@columbia.edu>

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Package Rwave updated to version 2.4-8 with previous version 2.4-5 dated 2017-03-21

Title: Time-Frequency Analysis of 1-D Signals
Description: A set of R functions which provide an environment for the Time-Frequency analysis of 1-D signals (and especially for the wavelet and Gabor transforms of noisy signals). It was originally written for Splus by Rene Carmona, Bruno Torresani, and Wen L. Hwang, first at the University of California at Irvine and then at Princeton University. Credit should also be given to Andrea Wang whose functions on the dyadic wavelet transform are included. Rwave is based on the book: "Practical Time-Frequency Analysis: Gabor and Wavelet Transforms with an Implementation in S", by Rene Carmona, Wen L. Hwang and Bruno Torresani (1998, eBook ISBN:978008053942), Academic Press.
Author: Rene Carmona [aut], Bruno Torresani [aut], Brandon Whitcher [ctb], Andrea Wang [ctb], Wen-Liang Hwang [ctb], Jonathan M. Lees [ctb, cre]
Maintainer: Jonathan M. Lees <jonathan.lees@unc.edu>

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Package rstan updated to version 2.17.3 with previous version 2.17.2 dated 2017-12-20

Title: R Interface to Stan
Description: User-facing R functions are provided to parse, compile, test, estimate, and analyze Stan models by accessing the header-only Stan library provided by the 'StanHeaders' package. The Stan project develops a probabilistic programming language that implements full Bayesian statistical inference via Markov Chain Monte Carlo, rough Bayesian inference via 'variational' approximation, and (optionally penalized) maximum likelihood estimation via optimization. In all three cases, automatic differentiation is used to quickly and accurately evaluate gradients without burdening the user with the need to derive the partial derivatives.
Author: Jiqiang Guo [aut], Jonah Gabry [aut], Ben Goodrich [cre, aut], Daniel Lee [ctb], Krzysztof Sakrejda [ctb], Trustees of Columbia University [cph], Oleg Sklyar [cph] (R/cxxfunplus.R), The R Core Team [cph] (R/pairs.R, R/dynGet.R), Jens Oehlschlaegel-Akiyoshi [cph] (R/pairs.R), Hadley Wickham [cph] (R/rtools.R), Joel de Guzman [cph] (Boost), John Fletcher [cph] (Boost), Thomas Heller [cph] (Boost), Eric Niebler [cph] (Boost)
Maintainer: Ben Goodrich <benjamin.goodrich@columbia.edu>

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Package Rcpp updated to version 0.12.15 with previous version 0.12.14 dated 2017-11-23

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, <doi:10.18637/jss.v040.i08>), the book by Eddelbuettel (2013, <doi:10.1007/978-1-4614-6868-4>) and the paper by Eddelbuettel and Balamuta (2017, <doi:10.7287/peerj.preprints.3188v1>); see 'citation("Rcpp")' for details.
Author: Dirk Eddelbuettel, Romain Francois, JJ Allaire, Kevin Ushey, Qiang Kou, Nathan Russell, Douglas Bates and John Chambers
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between Rcpp versions 0.12.14 dated 2017-11-23 and 0.12.15 dated 2018-01-20

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Package MODIS updated to version 1.1.1 with previous version 1.1.0 dated 2017-07-03

Title: Acquisition and Processing of MODIS Products
Description: Download and processing functionalities for the Moderate Resolution Imaging Spectroradiometer (MODIS). The package provides automated access to the global online data archives LP DAAC (<https://lpdaac.usgs.gov/>) and LAADS (<https://ladsweb.modaps.eosdis.nasa.gov/>) and processing capabilities such as file conversion, mosaicking, subsetting and time series filtering.
Author: Matteo Mattiuzzi [aut], Jan Verbesselt [ctb], Tomislav Hengl [ctb], Anja Klisch [ctb], Forrest Stevens [ctb], Steven Mosher [ctb], Bradley Evans [ctb], Agustin Lobo [ctb], Koen Hufkens [ctb], Florian Detsch [cre, aut]
Maintainer: Florian Detsch <fdetsch@web.de>

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Package metacom updated to version 1.5.0 with previous version 1.4.9 dated 2017-09-25

Title: Analysis of the 'Elements of Metacommunity Structure'
Description: Functions to analyze coherence, boundary clumping, and turnover following the pattern-based metacommunity analysis of Leibold and Mikkelson 2002 <doi:10.1034/j.1600-0706.2002.970210.x>. The package also includes functions to visualize ecological networks, and to calculate modularity as a replacement to boundary clumping.
Author: Tad Dallas
Maintainer: Tad Dallas <tdallas@ucdavis.edu>

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Package htmlwidgets updated to version 1.0 with previous version 0.9 dated 2017-07-10

Title: HTML Widgets for R
Description: A framework for creating HTML widgets that render in various contexts including the R console, 'R Markdown' documents, and 'Shiny' web applications.
Author: Ramnath Vaidyanathan [aut, cph], Yihui Xie [aut], JJ Allaire [aut, cre], Joe Cheng [aut], Kenton Russell [aut, cph], RStudio [cph]
Maintainer: JJ Allaire <jj@rstudio.com>

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Package htmlTable updated to version 1.11.2 with previous version 1.11.1 dated 2017-12-27

Title: Advanced Tables for Markdown/HTML
Description: Tables with state-of-the-art layout elements such as row spanners, column spanners, table spanners, zebra striping, and more. While allowing advanced layout, the underlying css-structure is simple in order to maximize compatibility with word processors such as 'MS Word' or 'LibreOffice'. The package also contains a few text formatting functions that help outputting text compatible with HTML/'LaTeX'.
Author: Max Gordon [aut, cre], Stephen Gragg [aut], Peter Konings [aut]
Maintainer: Max Gordon <max@gforge.se>

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Package heatmaply updated to version 0.14.0 with previous version 0.13.0 dated 2017-11-13

Title: Interactive Cluster Heat Maps Using 'plotly'
Description: Create interactive cluster 'heatmaps' that can be saved as a stand- alone HTML file, embedded in 'R Markdown' documents or in a 'Shiny' app, and available in the 'RStudio' viewer pane. Hover the mouse pointer over a cell to show details or drag a rectangle to zoom. A 'heatmap' is a popular graphical method for visualizing high-dimensional data, in which a table of numbers are encoded as a grid of colored cells. The rows and columns of the matrix are ordered to highlight patterns and are often accompanied by 'dendrograms'. 'Heatmaps' are used in many fields for visualizing observations, correlations, missing values patterns, and more. Interactive 'heatmaps' allow the inspection of specific value by hovering the mouse over a cell, as well as zooming into a region of the 'heatmap' by dragging a rectangle around the relevant area. This work is based on the 'ggplot2' and 'plotly.js' engine. It produces similar 'heatmaps' as 'heatmap.2' or 'd3heatmap', with the advantage of speed ('plotly.js' is able to handle larger size matrix), the ability to zoom from the 'dendrogram' panes, and the placing of factor variables in the sides of the 'heatmap'.
Author: Tal Galili [aut, cre, cph] (https://www.r-statistics.com), Jonathan Sidi [ctb] (https://github.com/yonicd), Alan O'Callaghan [ctb] (https://github.com/Alanocallaghan), Yoav Benjamini [ths]
Maintainer: Tal Galili <tal.galili@gmail.com>

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Package equSA updated to version 1.1.5 with previous version 1.1.4 dated 2018-01-10

Title: Estimate Directed and Undirected Graphical Models and Construct Networks
Description: Provides an equivalent measure of partial correlation coefficients for high-dimensional Gaussian Graphical Models to learn and visualize the underlying relationships between variables from single or multiple datasets. You can refer to Liang, F., Song, Q. and Qiu, P. (2015) <doi:10.1080/01621459.2015.1012391> for more detail. Based on this method, the package also provides the method for constructing networks for Next Generation Sequencing Data, for jointly estimating multiple Gaussian Graphical Models and constructing directed acyclic graph (Bayesian Network).
Author: Bochao Jia, Faming Liang, Runmin Shi, Suwa Xu
Maintainer: Bochao Jia <jbc409@ufl.edu>

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Package dat updated to version 0.4.0 with previous version 0.3.0 dated 2017-07-22

Title: Tools for Data Manipulation
Description: An implementation of common higher order functions with syntactic sugar for anonymous function. Provides also a link to 'dplyr' for common transformations on data frames to work around non standard evaluation by default.
Author: Sebastian Warnholz [aut, cre]
Maintainer: Sebastian Warnholz <wahani@gmail.com>

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Package cdata updated to version 0.5.2 with previous version 0.5.1 dated 2018-01-04

Title: Fluid Data Transformations
Description: Supplies higher-order fluid data transform operators that include pivot and anti-pivot as special cases. Based on the 'DBI' database interface.
Author: John Mount [aut, cre], Nina Zumel [aut], Win-Vector LLC [cph]
Maintainer: John Mount <jmount@win-vector.com>

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Package RClickhouse updated to version 0.4.0 with previous version 0.3.0 dated 2017-11-26

Title: A 'DBI' Interface to the 'Yandex Clickhouse' Database Providing Basic 'dplyr' Support
Description: 'Yandex Clickhouse' (<https://clickhouse.yandex/>) is a high-performance relational column-store database to enable big data exploration and 'analytics' scaling to petabytes of data. Methods are provided that enable working with 'Yandex Clickhouse' databases via 'DBI' methods and using 'dplyr'/'dbplyr' idioms.
Author: Christian Hotz-Behofsits [aut, cre], Clemens Danninger [aut], Simon Stiebellehner [aut], Dan Egnor [aut], Vlad Losev [aut], Keith Ray [aut], Zhanyong Wan [aut], Markus Heule [aut], Google [cph], Yann Collet [cph]
Maintainer: Christian Hotz-Behofsits <christian.hotz-behofsits@wu.ac.at>

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Package Surrogate updated to version 0.6 with previous version 0.5 dated 2017-10-08

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 (bio)marker 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 Seventh 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>

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Package WVPlots updated to version 0.2.8 with previous version 0.2.7 dated 2017-11-28

Title: Common Plots for Analysis
Description: Select data analysis plots, under a standardized calling interface implemented on top of 'ggplot2' and 'plotly'. Plots of interest include: 'ROC', gain curve, scatter plot with marginal distributions, conditioned scatter plot with marginal densities, box and stem with matching theoretical distribution, and density with matching theoretical distribution.
Author: John Mount [aut, cre], Nina Zumel [aut], Win-Vector LLC [cph]
Maintainer: John Mount <jmount@win-vector.com>

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Fri, 19 Jan 2018

Package randomizr updated to version 0.8.0 with previous version 0.6.0 dated 2017-05-03

Title: Easy-to-Use Tools for Common Forms of Random Assignment and Sampling
Description: Generates random assignments for common experimental designs and random samples for common sampling designs.
Author: Alexander Coppock [aut, cre], Jasper Cooper [ctb], Neal Fultz [ctb] (C version of restricted partitions)
Maintainer: Alexander Coppock <acoppock@gmail.com>

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Package LoopAnalyst updated to version 1.2-6 with previous version 1.2-4 dated 2015-07-08

Title: A Collection of Tools to Conduct Levins' Loop Analysis
Description: Loop analysis makes qualitative predictions of variable change in a system of causally interdependent variables, where "qualitative" means sign only (i.e. increases, decreases, non change, and ambiguous). This implementation includes output support for graphs in .dot file format for use with visualization software such as 'graphviz' (<http://graphviz.org>). 'LoopAnalyst' provides tools for the construction and output of community matrices, computation and output of community effect matrices, tables of correlations, adjoint, absolute feedback, weighted feedback and weighted prediction matrices, change in life expectancy matrices, and feedback, path and loop enumeration tools.
Author: Alexis Dinno <alexis.dinno@pdx.edu>
Maintainer: Alexis Dinno <alexis.dinno@pdx.edu>

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Package rsMove updated to version 0.2.3 with previous version 0.2.1 dated 2017-08-19

Title: Remote Sensing for Movement Ecology
Description: Tools that support the combined use of animal movement and remote sensing data.
Author: Ruben Remelgado [aut, cre]
Maintainer: Ruben Remelgado <ruben.remelgado@uni-wuerzburg.de>

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Package rosetteApi updated to version 1.9.0 with previous version 1.8.0 dated 2017-10-24

Title: 'Rosette' API
Description: 'Rosette' is an API for multilingual text analysis and information extraction. More information can be found at <https://developer.rosette.com>.
Author: Chris Park [aut, cre], Sam Hausmann [aut], Hannah Gaudet [ctb], Seth Gransky [ctb], Basis Technology Corp. [cph]
Maintainer: Chris Park <cpark@basistech.com>

Diff between rosetteApi versions 1.8.0 dated 2017-10-24 and 1.9.0 dated 2018-01-19

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Package RNAseqNet updated to version 0.1.2 with previous version 0.1.1 dated 2017-05-16

Title: Log-Linear Poisson Graphical Model with Hot-Deck Multiple Imputation
Description: Infer log-linear Poisson Graphical Model with an auxiliary data set. Hot-deck multiple imputation method is used to improve the reliability of the inference with an auxiliary dataset. Standard log-linear Poisson graphical model can also be used for the inference and the Stability Approach for Regularization Selection (StARS) is implemented to drive the selection of the regularization parameter. The method is fully described in <doi:10.1093/bioinformatics/btx819>.
Author: Alyssa Imbert [aut], Nathalie Villa-Vialaneix [aut, cre]
Maintainer: Nathalie Villa-Vialaneix <nathalie.villa-vialaneix@inra.fr>

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New package pivotaltrackR with initial version 0.1.0
Package: pivotaltrackR
Type: Package
Title: A Client for the 'Pivotal Tracker' API
Description: 'Pivotal Tracker' <https://www.pivotaltracker.com> is a project management software-as-a-service that provides a REST API. This package provides an R interface to that API, allowing you to query it and work with its responses.
Version: 0.1.0
Authors@R: person("Neal", "Richardson", role=c("aut", "cre"), email="neal.p.richardson@gmail.com")
URL: http://enpiar.com/r/pivotaltrackR, https://github.com/nealrichardson/pivotaltrackR
BugReports: https://github.com/nealrichardson/pivotaltrackR/issues
License: MIT + file LICENSE
Depends: R (>= 3.0.0)
Imports: curl, httr, utils
Suggests: covr, httptest (>= 3.0.0), knitr, magrittr, spelling
Language: en-US
RoxygenNote: 6.0.1
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2018-01-19 17:53:11 UTC; neal.richardson
Author: Neal Richardson [aut, cre]
Maintainer: Neal Richardson <neal.p.richardson@gmail.com>
Repository: CRAN
Date/Publication: 2018-01-19 19:03:38 UTC

More information about pivotaltrackR at CRAN
Permanent link

Package usethis updated to version 1.2.0 with previous version 1.1.0 dated 2017-11-17

Title: Automate Package and Project Setup
Description: Automate package and project setup tasks that are otherwise performed manually. This includes setting up unit testing, test coverage, continuous integration, Git, 'GitHub', licenses, 'Rcpp', 'RStudio' projects, and more.
Author: Hadley Wickham [aut, cre] (0000-0003-4757-117X), Jennifer Bryan [aut] (0000-0002-6983-2759), RStudio [cph, fnd]
Maintainer: Hadley Wickham <hadley@rstudio.com>

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Package TreeBUGS updated to version 1.2.0 with previous version 1.1.1 dated 2017-08-23

Title: Hierarchical Multinomial Processing Tree Modeling
Description: User-friendly analysis of hierarchical multinomial processing tree (MPT) models that are often used in cognitive psychology. Implements the latent-trait MPT approach (Klauer, 2010) <DOI:10.1007/s11336-009-9141-0> and the beta-MPT approach (Smith & Batchelder, 2010) <DOI:10.1016/j.jmp.2009.06.007> to model heterogeneity of participants. MPT models are conveniently specified by an .eqn-file as used by other MPT software and data are provided by a .csv-file or directly in R. Models are either fitted by calling JAGS or by an MPT-tailored Gibbs sampler in C++ (only for nonhierarchical and beta MPT models). Provides tests of heterogeneity and MPT-tailored summaries and plotting functions.
Author: Daniel W. Heck [aut, cre], Nina R. Arnold [aut, dtc], Denis Arnold [aut], Alexander Ly [ctb]
Maintainer: Daniel W. Heck <heck@uni-mannheim.de>

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More information about TreeBUGS at CRAN
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Package RSEIS updated to version 3.7-8 with previous version 3.7-4 dated 2017-03-12

Title: Seismic Time Series Analysis Tools
Description: Multiple interactive codes to view and analyze seismic data, via spectrum analysis, wavelet transforms, particle motion, hodograms. Includes general time-series tools, plotting, filtering, interactive display.
Author: Jonathan M. Lees [aut, cre], Jake Anderson [ctb], Leonard Lisapaly [ctb], Dave Harris [aut, cph]
Maintainer: Jonathan M. Lees <jonathan.lees@unc.edu>

Diff between RSEIS versions 3.7-4 dated 2017-03-12 and 3.7-8 dated 2018-01-19

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Package rrpack updated to version 0.1-7 with previous version 0.1-6 dated 2017-11-09

Title: Reduced-Rank Regression
Description: Multivariate regression methodologies including reduced-rank regression (RRR), reduced-rank ridge regression (RRS), robust reduced-rank regression (R4), generalized/mixed-response reduced-rank regression (mRRR), row-sparse reduced-rank regression (SRRR), reduced-rank regression with a sparse singular value decomposition (RSSVD), and sparse and orthogonal factor regression (SOFAR).
Author: Kun Chen [aut, cre], Wenjie Wang [ctb], Jun Yan [ctb]
Maintainer: Kun Chen <kun.chen@uconn.edu>

Diff between rrpack versions 0.1-6 dated 2017-11-09 and 0.1-7 dated 2018-01-19

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Package REddyProc updated to version 1.1.3 with previous version 1.1.2 dated 2018-01-18

Title: Post Processing of (Half-)Hourly Eddy-Covariance Measurements
Description: Standard and extensible Eddy-Covariance data post-processing includes uStar-filtering, gap-filling, and flux-partitioning. The Eddy-Covariance (EC) micrometeorological technique quantifies continuous exchange fluxes of gases, energy, and momentum between an ecosystem and the atmosphere. It is important for understanding ecosystem dynamics and upscaling exchange fluxes. (Aubinet et al. (2012) <doi:10.1007/978-94-007-2351-1>). This package inputs pre-processed (half-)hourly data and supports further processing. First, a quality-check and filtering is performed based on the relationship between measured flux and friction velocity (uStar) to discard biased data (Papale et al. (2006) <doi:10.5194/bg-3-571-2006>). Second, gaps in the data are filled based on information from environmental conditions (Reichstein et al. (2005) <doi:10.1111/j.1365-2486.2005.001002.x>). Third, the net flux of carbon dioxide is partitioned into its gross fluxes in and out of the ecosystem by night-time based and day-time based approaches (Lasslop et al. (2010) <doi:10.1111/j.1365-2486.2009.02041.x>).
Author: Department for Biogeochemical Integration at MPI-BGC, Jena, Germany [cph], Thomas Wutzler [aut, cre], Markus Reichstein [aut], Antje Maria Moffat [aut, trl], Olaf Menzer [ctb], Mirco Migliavacca [aut], Kerstin Sickel [ctb, trl], Ladislav Šigut [ctb]
Maintainer: Thomas Wutzler <twutz@bgc-jena.mpg.de>

Diff between REddyProc versions 1.1.2 dated 2018-01-18 and 1.1.3 dated 2018-01-19

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More information about REddyProc at CRAN
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Package lbreg updated to version 1.2 with previous version 1.1 dated 2017-06-28

Title: Log-Binomial Regression with Constrained Optimization
Description: Maximum likelihood estimation of log-binomial regression with special functionality when the MLE is on the boundary of the parameter space.
Author: Bernardo B. Andrade
Maintainer: Bernardo Andrade <bbandrade@unb.br>

Diff between lbreg versions 1.1 dated 2017-06-28 and 1.2 dated 2018-01-19

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Package jdx updated to version 0.1.2 with previous version 0.1.1 dated 2018-01-18

Title: 'Java' Data Exchange for 'R' and 'rJava'
Description: Simplifies and extends data exchange between 'R' and 'Java'.
Author: Floid R. Gilbert [aut, cre], David B. Dahl [aut]
Maintainer: Floid R. Gilbert <floid.r.gilbert@gmail.com>

Diff between jdx versions 0.1.1 dated 2018-01-18 and 0.1.2 dated 2018-01-19

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New package icr with initial version 0.5.1
Package: icr
Type: Package
Date: 2018-01-18
Title: Compute Krippendorff's Alpha
Version: 0.5.1
Author: Alexander Staudt [aut, cre], Pierre L'Ecuyer [ctb, cph] (author of the C++ RNG code)
Maintainer: Alexander Staudt <staudtlex@live.de>
Description: Provides functions to compute and plot Krippendorff's inter-coder reliability coefficient alpha and bootstrapped uncertainty estimates (Krippendorff 2004, ISBN:0761915443).
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
Imports: Rcpp (>= 0.12.9), ggplot2, reshape2
LinkingTo: Rcpp
RoxygenNote: 6.0.1
NeedsCompilation: yes
Packaged: 2018-01-19 15:07:48 UTC; astaudt
Repository: CRAN
Date/Publication: 2018-01-19 18:38:07 UTC

More information about icr at CRAN
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Package HDPenReg updated to version 0.93.2 with previous version 0.93.1 dated 2016-01-26

Title: High-Dimensional Penalized Regression
Description: Algorithms for lasso and fused-lasso problems: implementation of the lars algorithm for lasso and fusion penalization and EM-based algorithms for (logistic) lasso and fused-lasso penalization.
Author: Quentin Grimonprez [aut, cre], Serge Iovleff [aut]
Maintainer: Quentin Grimonprez <quentin.grimonprez@inria.fr>

Diff between HDPenReg versions 0.93.1 dated 2016-01-26 and 0.93.2 dated 2018-01-19

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Package FHDI updated to version 1.2 with previous version 1.1 dated 2018-01-18

Title: Fractional Hot Deck and Fully Efficient Fractional Imputation
Description: Impute general multivariate missing data with the fractional hot deck imputation based on Jaekwang Kim (2011) <doi:10.1093/biomet/asq073>.
Author: Jongho Im [aut], Inho Cho [aut, cre], Jaekwang Kim [aut]
Maintainer: Inho Cho <icho@iastate.edu>

Diff between FHDI versions 1.1 dated 2018-01-18 and 1.2 dated 2018-01-19

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Package abjutils updated to version 0.2.1 with previous version 0.0.1 dated 2017-01-04

Title: Useful Tools for Jurimetrical Analysis Used by the Brazilian Jurimetrics Association
Description: The Brazilian Jurimetrics Association (ABJ in Portuguese, see <http://www.abjur.org.br/en/> for more information) is a non-profit organization which aims to investigate and promote the use of statistics and probability in the study of Law and its institutions. This package implements general purpose tools used by ABJ, such as functions for sampling and basic manipulation of Brazilian lawsuits identification number. It also implements functions for text cleaning, such as accentuation removal.
Author: Julio Trecenti [aut], Athos Damiani [ctb], Fernando Correa [aut], Caio Lente [aut, cre], Brazilian Jurimetrics Association [cph]
Maintainer: Caio Lente <ctlente@gmail.com>

Diff between abjutils versions 0.0.1 dated 2017-01-04 and 0.2.1 dated 2018-01-19

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Package face updated to version 0.1-4 with previous version 0.1-3 dated 2017-04-25

Title: Fast Covariance Estimation for Sparse Functional Data
Description: Implementation of the Fast Covariance Estimation for Sparse Functional Data paper published in Statistics and Computing, Xiao et al. (2018) <doi:10.1007/s11222-017-9744-8>.
Author: Luo Xiao [aut,cre], Cai Li [aut], William Checkley [aut], Ciprian Crainiceanu [aut]
Maintainer: Luo Xiao <lxiao5@ncsu.edu>

Diff between face versions 0.1-3 dated 2017-04-25 and 0.1-4 dated 2018-01-19

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Package AnglerCreelSurveySimulation updated to version 1.0.0 with previous version 0.2.1 dated 2015-01-04

Title: Simulate a Bus Route Creel Survey of Anglers
Description: Simulate an angler population, sample the simulated population with a user-specified survey times, and calculate metrics from a bus route-type creel survey.
Author: Steven H. Ranney
Maintainer: Steven H. Ranney <steven.ranney@gmail.com>

Diff between AnglerCreelSurveySimulation versions 0.2.1 dated 2015-01-04 and 1.0.0 dated 2018-01-19

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Package RcppCWB (with last version 0.1.3) was removed from CRAN

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

2018-01-14 0.1.3

Permanent link
Package wrassp updated to version 0.1.6 with previous version 0.1.4 dated 2016-05-30

Title: Interface to the 'ASSP' Library
Description: A wrapper around Michel Scheffers's 'libassp' (<http://libassp.sourceforge.net/>). The 'libassp' (Advanced Speech Signal Processor) library aims at providing functionality for handling speech signal files in most common audio formats and for performing analyses common in phonetic science/speech science. This includes the calculation of formants, fundamental frequency, root mean square, auto correlation, a variety of spectral analyses, zero crossing rate, filtering etc. This wrapper provides R with a large subset of 'libassp's signal processing functions and provides them to the user in a (hopefully) user-friendly manner.
Author: Raphael Winkelmann [aut, cre], Lasse Bombien [aut], Michel Scheffers [aut]
Maintainer: Raphael Winkelmann <raphael@phonetik.uni-muenchen.de>

Diff between wrassp versions 0.1.4 dated 2016-05-30 and 0.1.6 dated 2018-01-19

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Package spcosa updated to version 0.3-7 with previous version 0.3-6 dated 2015-12-22

Title: Spatial Coverage Sampling and Random Sampling from Compact Geographical Strata
Description: Spatial coverage sampling and random sampling from compact geographical strata created by k-means.
Author: Dennis Walvoort [aut, cre, cph], Dick Brus [aut, cph], Jaap de Gruijter [aut, cph]
Maintainer: Dennis Walvoort <dennis.Walvoort@wur.nl>

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Package sp updated to version 1.2-7 with previous version 1.2-6 dated 2018-01-05

Title: Classes and Methods for Spatial Data
Description: Classes and methods for spatial data; the classes document where the spatial location information resides, for 2D or 3D data. Utility functions are provided, e.g. for plotting data as maps, spatial selection, as well as methods for retrieving coordinates, for subsetting, print, summary, etc.
Author: Edzer Pebesma [aut, cre], Roger Bivand [aut], Barry Rowlingson [ctb], Virgilio Gomez-Rubio [ctb], Robert Hijmans [ctb], Michael Sumner [ctb], Don MacQueen [ctb], Jim Lemon [ctb], Josh O'Brien [ctb], Joseph O'Rourke [ctb]
Maintainer: Edzer Pebesma <edzer.pebesma@uni-muenster.de>

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Package longRPart2 updated to version 0.2.3 with previous version 0.0.1 dated 2017-10-04

Title: Recursive Partitioning of Longitudinal Data
Description: Performs recursive partitioning of linear and nonlinear mixed effects models, specifically for longitudinal data. The package is an extension of the original 'longRPart' package by Stewart and Abdolell (2013) <https://cran.r-project.org/package=longRPart>.
Author: Ross Jacobucci [aut,cre], Sam Stewart[aut], Mohamed Abdolell [aut], Sarfaraz Serang [ctb], Gabriela Stegmann [ctb]
Maintainer: Ross Jacobucci <rcjacobuc@gmail.com>

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Package glamlasso updated to version 3.0 with previous version 2.0.1 dated 2016-08-19

Title: Penalization in Large Scale Generalized Linear Array Models
Description: Functions capable of performing efficient design matrix free penalized estimation in large scale 2 and 3-dimensional generalized linear array model framework. The generic glamlasso() function solves the penalized maximum likelihood estimation (PMLE) problem in a pure generalized linear array model (GLAM) as well as in a GLAM containing a non-tensor component. Currently Lasso or Smoothly Clipped Absolute Deviation (SCAD) penalized estimation is possible for the followings models: The Gaussian model with identity link, the Binomial model with logit link, the Poisson model with log link and the Gamma model with log link. Furthermore this package also contains two functions that can be used to fit special cases of GLAMs, see glamlassoRR() and glamlassoS(). The procedure underlying these functions is based on the gdpg algorithm from Lund et al. (2017) <doi:10.1080/10618600.2017.1279548>.
Author: Adam Lund
Maintainer: Adam Lund <adam.lund@math.ku.dk>

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Package dynatopmodel updated to version 1.2.1 with previous version 1.1 dated 2016-01-06

Title: Implementation of the Dynamic TOPMODEL Hydrological Model
Description: A native R implementation and enhancement of the Dynamic TOPMODEL semi-distributed hydrological model. Includes some preprocessing, utility and routines for displaying outputs.
Author: Peter Metcalfe, Keith Beven and Jim Freer
Maintainer: Peter Metcalfe <p.metcalfe@lancaster.ac.uk>

Diff between dynatopmodel versions 1.1 dated 2016-01-06 and 1.2.1 dated 2018-01-19

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Package dnet updated to version 1.1.2 with previous version 1.1.1 dated 2017-07-09

Title: Integrative Analysis of Omics Data in Terms of Network, Evolution and Ontology
Description: The focus of the dnet is to make sense of omics data (such as gene expression and mutations) from different angles including: integration with molecular networks, enrichments using ontologies, and relevance to gene evolutionary ages. Integration is achieved to identify a gene subnetwork from the whole gene network whose nodes/genes are labelled with informative data (such as the significant levels of differential expression or survival risks). To help make sense of identified gene networks, enrichment analysis is also supported using a wide variety of pre-compiled ontologies and phylostratific gene age information in major organisms including: human, mouse, rat, chicken, C.elegans, fruit fly, zebrafish and arabidopsis. Add-on functionalities are supports for calculating semantic similarity between ontology terms (and between genes) and for calculating network affinity based on random walk; both can be done via high-performance parallel computing.
Author: Hai Fang and Julian Gough
Maintainer: Hai Fang <hfang@well.ox.ac.uk>

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Package descr updated to version 1.1.4 with previous version 1.1.3 dated 2016-05-11

Title: Descriptive Statistics
Description: Weighted frequency and contingency tables of categorical variables and of the comparison of the mean value of a numerical variable by the levels of a factor, and methods to produce xtable objects of the tables and to plot them. There are also functions to facilitate the character encoding conversion of objects, to quickly convert fixed width files into csv ones, and to export a data.frame to a text file with the necessary R and SPSS codes to reread the data.
Author: Jakson Aquino. Includes R source code and/or documentation written by Dirk Enzmann, Marc Schwartz, Nitin Jain, and Stefan Kraft
Maintainer: Jakson Aquino <jalvesaq@gmail.com>

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Package bayesTFR updated to version 6.1-2 with previous version 6.1-1 dated 2017-08-09

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), Bailey Fosdick (bfosdick@uw.edu), Patrick Gerland (gerland@un.org)
Maintainer: Hana Sevcikova <hanas@uw.edu>

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Package adabag updated to version 4.2 with previous version 4.1 dated 2015-10-14

Title: Applies Multiclass AdaBoost.M1, SAMME and Bagging
Description: It implements Freund and Schapire's Adaboost.M1 algorithm and Breiman's Bagging algorithm using classification trees as individual classifiers. Once these classifiers have been trained, they can be used to predict on new data. Also, cross validation estimation of the error can be done. Since version 2.0 the function margins() is available to calculate the margins for these classifiers. Also a higher flexibility is achieved giving access to the rpart.control() argument of 'rpart'. Four important new features were introduced on version 3.0, AdaBoost-SAMME (Zhu et al., 2009) is implemented and a new function errorevol() shows the error of the ensembles as a function of the number of iterations. In addition, the ensembles can be pruned using the option 'newmfinal' in the predict.bagging() and predict.boosting() functions and the posterior probability of each class for observations can be obtained. Version 3.1 modifies the relative importance measure to take into account the gain of the Gini index given by a variable in each tree and the weights of these trees. Version 4.0 includes the margin-based ordered aggregation for Bagging pruning (Guo and Boukir, 2013) and a function to auto prune the 'rpart' tree. Moreover, three new plots are also available importanceplot(), plot.errorevol() and plot.margins(). Version 4.1 allows to predict on unlabeled data. Version 4.2 includes the parallel computation option for some of the functions.
Author: Alfaro, Esteban; Gamez, Matias and Garcia, Noelia; with contributions from Li Guo
Maintainer: Esteban Alfaro <Esteban.Alfaro@uclm.es>

Diff between adabag versions 4.1 dated 2015-10-14 and 4.2 dated 2018-01-19

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 R/MarginOrderedPruning.Bagging.R    |    3 
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Package mvabund updated to version 3.13.1 with previous version 3.12.3 dated 2017-04-27

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 [aut], Ulrike Naumann [aut], Dirk Eddelbuettel [aut], David Warton [aut, cre], Julian Byrnes [ctb], Ralph dos Santos Silva [ctb, cph], Jenni Niku [ctb], Ian Renner [ctb], Stephen Wright [ctb]
Maintainer: David Warton <David.Warton@unsw.edu.au>

Diff between mvabund versions 3.12.3 dated 2017-04-27 and 3.13.1 dated 2018-01-19

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New package LN0SCIs with initial version 0.1.5
Package: LN0SCIs
Type: Package
Title: Simultaneous CIs for Ratios of Means of Log-Normal Populations with Zeros
Version: 0.1.5
Author: Jing Xu, Xinmin Li, Hua Liang
Maintainer: Jing Xu <274762204@qq.com>
Description: Construct the simultaneous confidence intervals for ratios of means of Log-normal populations with zeros. It also has a Python module that do the same thing, and can be applied to multiple comparisons of parameters of any k mixture distributions. And we provide four methods, the method based on generalized pivotal quantity with order statistics and the quantity based on Wilson by Li et al. (2009) <doi:10.1016/j.spl.2009.03.004> (GPQW), and the methods based on generalized pivotal quantity with order statistics and the quantity based on Hannig (2009) <doi:10.1093/biomet/asp050> (GPQH). The other two methods are based on two-step MOVER intervals by Amany H, Abdel K (2015) <doi:10.1080/03610918.2013.767911>. We deduce Fiducial generalized pivotal two-step MOVER intervals based on Wilson quantity (FMW) and based on Hannig's quantity (FMWH). All these approach you can find in the paper of us which it has been submitted.
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2018-01-18 18:07:26 UTC; Administrator
Repository: CRAN
Date/Publication: 2018-01-19 12:11:37 UTC

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New package fs with initial version 1.0.0
Package: fs
Title: Cross-Platform File System Operations Based on 'libuv'
Version: 1.0.0
Authors@R: c( person("Jim", "Hester", email = "james.f.hester@gmail.com", role = c("aut", "cre")), person("Hadley", "Wickham", , "hadley@rstudio.com", "aut"), person("libuv project contributors", role = "cph", comment = "libuv library"), person("Joyent, Inc. and other Node contributors", role = "cph", comment = "libuv library"), person("RStudio", role = c("cph", "fnd")) )
Description: A cross-platform interface to file system operations, built on top of the 'libuv' C library.
Depends: R (>= 3.1)
License: GPL-3
Encoding: UTF-8
LazyData: true
ByteCompile: true
LinkingTo: Rcpp
Imports: Rcpp
SystemRequirements: GNU make
RoxygenNote: 6.0.1
URL: http://fs.r-lib.org
BugReports: https://github.com/r-lib/fs/issues
Copyright: file COPYRIGHTS
Suggests: testthat, covr, pillar (>= 1.0.0), crayon, withr
NeedsCompilation: yes
Packaged: 2018-01-18 21:48:31 UTC; jhester
Author: Jim Hester [aut, cre], Hadley Wickham [aut], libuv project contributors [cph] (libuv library), Joyent, Inc. and other Node contributors [cph] (libuv library), RStudio [cph, fnd]
Maintainer: Jim Hester <james.f.hester@gmail.com>
Repository: CRAN
Date/Publication: 2018-01-19 12:56:09 UTC

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New package crossword.r with initial version 0.3.5
Package: crossword.r
Date: 2018-01-13
Type: Package
Title: Generating Crosswords from Word Lists
Version: 0.3.5
Author: Peter Meissner
Maintainer: Peter Meissner <retep.meissner@gmail.com>
Description: Generate crosswords from a list of words.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: R6 (>= 2.2.0), dplyr (>= 0.5.0), stringr (>= 1.2.0), magrittr (>= 1.5), jsonlite (>= 1.5), r6extended (>= 0.1.1)
RoxygenNote: 6.0.1
Collate: 'cw_matrix_to_df.R' 'Crossword.R' 'cw_greplv.R' 'cw_normalize_words.R' 'cw_to_json.R' 'cw_wordlist_animal_en.R'
Suggests: covr, testthat
NeedsCompilation: no
Packaged: 2018-01-19 09:42:19 UTC; peter
Repository: CRAN
Date/Publication: 2018-01-19 12:25:58 UTC

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New package pubh with initial version 0.1.6
Package: pubh
Title: A Toolbox for Public Health and Epidemiology
Version: 0.1.6
Authors@R: c( person("Josie", "Athens", email = "josie.athens@otago.ac.nz", role = c("aut", "cre")), person("Deepayan", "Sarkar", email = "deepayan.sarkar@r-project.org", role = "ctb"), person("Mark", "Stevenson", email = "mark.stevenson1@unimelb.edu.au", role = "ctb"), person("Simon", "Firestone", role = "ctb"), person("Cord", "Heuer", role = "ctb"), person("Jim", "Robison-Cox", role = "ctb"), person("Frank", "Harell", email = "f.harrell@vanderbilt.edu", role = "ctb"), person("John", "Fox", email = "jfox@mcmaster.ca", role = "ctb"), person("Kazuki", "Yoshida", role = "ctb"), person("Tomas", "Aragon", role = "ctb"), person("R-Core", role="ctb"))
Maintainer: Josie Athens <josie.athens@otago.ac.nz>
Description: A toolbox for making R functions and capabilities more accessible to students and professionals from Epidemiology and Public Health related disciplines. Includes a function to report coefficients and confidence intervals from models using robust standard errors (when available), functions that expand lattice plots and functions relevant for introductory papers in Epidemiology or Public Health. Please note that use of the provided data sets is for educational purposes only.
Depends: R (>= 3.4.0), lattice, latticeExtra, stats
Imports: car, Epi, epiR, epitools, gee, lmtest, lme4, MASS, multcomp, nlme, nnet, ordinal, sandwich, survival
Suggests: captioner, descr, epibasix, epiDisplay, haven, ISwR, knitr, pander, papeR, psych, rmarkdown, visreg
License: GPL-2
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
VignetteBuilder: knitr
URL: https://github.com/josie-athens/pubh
BugReports: https://github.com/josie-athens/pubh/issues
NeedsCompilation: no
Packaged: 2018-01-18 20:41:14 UTC; josie
Author: Josie Athens [aut, cre], Deepayan Sarkar [ctb], Mark Stevenson [ctb], Simon Firestone [ctb], Cord Heuer [ctb], Jim Robison-Cox [ctb], Frank Harell [ctb], John Fox [ctb], Kazuki Yoshida [ctb], Tomas Aragon [ctb], R-Core [ctb]
Repository: CRAN
Date/Publication: 2018-01-19 11:37:53 UTC

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Package ICcalib updated to version 1.0.7 with previous version 1.0.6 dated 2018-01-15

Title: Cox Model with Interval-Censored Starting Time of a Covariate
Description: Calibration and risk-set calibration methods for fitting Cox proportional hazard model when a binary covariate is measured intermittently. Methods include functions to fit calibration models from interval-censored data and modified partial likelihood for the proportional hazard model, Nevo et al. (2018+) <arXiv:1801.01529>.
Author: Daniel Nevo
Maintainer: Daniel Nevo <danielnevo@gmail.com>

Diff between ICcalib versions 1.0.6 dated 2018-01-15 and 1.0.7 dated 2018-01-19

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New package Bioi with initial version 0.2.8
Package: Bioi
Title: Biological Image Analysis
Version: 0.2.8
Author: Zachary Colburn
Maintainer: Zachary Colburn <zcolburn@gmail.com>
Description: Single linkage clustering and connected component analyses are often performed on biological images. 'Bioi' provides a set of functions for performing these tasks. This functionality is implemented in several key functions that can extend to from 1 to many dimensions. The single linkage clustering method implemented here can be used on n-dimensional data sets, while connected component analyses are limited to 3 or fewer dimensions.
Depends: R (>= 3.3.0)
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: Rcpp(>= 0.12.13), assertthat(>= 0.2.0), testthat(>= 2.0.0), dplyr(>= 0.7.4), igraph(>= 1.1.2)
LinkingTo: Rcpp
RoxygenNote: 6.0.1
Suggests: knitr, rmarkdown, ggplot2
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2018-01-19 01:23:32 UTC; ZacharyColburn
Repository: CRAN
Date/Publication: 2018-01-19 11:52:37 UTC

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Package dmm updated to version 2.1-3 with previous version 2.1-2 dated 2017-09-27

Title: Dyadic Mixed Model for Pedigree Data
Description: Dyadic mixed model analysis with multi-trait responses and pedigree-based partitioning of individual variation into a range of environmental and genetic variance components for individual and maternal effects.
Author: Neville Jackson
Maintainer: Neville Jackson <nanddjackson@bigpond.com>

Diff between dmm versions 2.1-2 dated 2017-09-27 and 2.1-3 dated 2018-01-19

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Package PSW updated to version 1.1-3 with previous version 1.1-2 dated 2017-10-09

Title: Propensity Score Weighting Methods for Dichotomous Treatments
Description: Provides propensity score weighting methods to control for confounding in causal inference with dichotomous treatments and continuous/binary outcomes. It includes the following functional modules: (1) visualization of the propensity score distribution in both treatment groups with mirror histogram, (2) covariate balance diagnosis, (3) propensity score model specification test, (4) weighted estimation of treatment effect, and (5) augmented estimation of treatment effect with outcome regression. The weighting methods include the inverse probability weight (IPW) for estimating the average treatment effect (ATE), the IPW for average treatment effect of the treated (ATT), the IPW for the average treatment effect of the controls (ATC), the matching weight (MW), the overlap weight (OVERLAP), and the trapezoidal weight (TRAPEZOIDAL). Sandwich variance estimation is provided to adjust for the sampling variability of the estimated propensity score. These methods are discussed by Hirano et al (2003) <DOI:10.1111/1468-0262.00442>, Lunceford and Davidian (2004) <DOI:10.1002/sim.1903>, Li and Greene (2013) <DOI:10.1515/ijb-2012-0030>, and Li et al (2016) <DOI:10.1080/01621459.2016.1260466>.
Author: Huzhang Mao <huzhangmao@gmail.com>, Liang Li <LLi15@mdanderson.org>
Maintainer: Huzhang Mao <huzhangmao@gmail.com>

Diff between PSW versions 1.1-2 dated 2017-10-09 and 1.1-3 dated 2018-01-19

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Package Chaos01 updated to version 1.1.0 with previous version 1.0.1 dated 2016-07-25

Title: 0-1 Test for Chaos
Description: Computes and plot the results of the 0-1 test for chaos proposed by Gottwald and Melbourne (2004) <DOI:10.1137/080718851>. The algorithm is available in parallel for the independent values of parameter c.
Author: Tomas Martinovic [aut, cre]
Maintainer: Tomas Martinovic <tomas.martinovic@vsb.cz>

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Package LSAmitR updated to version 1.0-1 with previous version 1.0-0 dated 2016-11-16

Title: Daten, Beispiele und Funktionen zu 'Large-Scale Assessment mit R'
Description: Dieses R-Paket stellt Zusatzmaterial in Form von Daten, Funktionen und R-Hilfe-Seiten für den Herausgeberband Breit, S. und Schreiner, C. (Hrsg.). (2016). "Large-Scale Assessment mit R: Methodische Grundlagen der österreichischen Bildungsstandardüberprüfung." Wien: facultas. (ISBN: 978-3-7089-1343-8, <https://www.bifie.at/node/3770>) zur Verfügung.
Author: Thomas Kiefer [aut, cre], Alexander Robitzsch [aut], Matthias Trendtel [aut], Robert Fellinger [aut]
Maintainer: Thomas Kiefer <t.kiefer@bifie.at>

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More information about LSAmitR at CRAN
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Package BeSS (with last version 1.0.4) was removed from CRAN

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

2018-01-04 1.0.4
2017-08-22 1.0.3
2017-06-29 1.0.2
2017-05-26 1.0.1
2017-04-20 1.0.0

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Package EPGLM (with last version 1.1.2) was removed from CRAN

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

2016-08-23 1.1.2
2016-01-09 1.1.1
2015-09-18 1.1
2015-07-31 1.0

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