Tue, 18 Apr 2017

Package standardize updated to version 0.1.1 with previous version 0.1.0 dated 2017-04-04

Title: Tools for Standardizing Variables for Regression in R
Description: Tools which allow regression variables to be placed on similar scales, offering computational benefits as well as easing interpretation of regression output.
Author: Christopher D. Eager [aut, cre]
Maintainer: Christopher D. Eager <eagerstats@gmail.com>

Diff between standardize versions 0.1.0 dated 2017-04-04 and 0.1.1 dated 2017-04-18

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More information about standardize at CRAN
Permanent link

Package ss3sim updated to version 0.9.5 with previous version 0.9.3 dated 2016-11-30

Title: Fisheries Stock Assessment Simulation Testing with Stock Synthesis
Description: Develops a framework for fisheries stock assessment simulation testing with Stock Synthesis 3 (SS3) as described in Anderson et al. (2014) <doi:10.1371/journal.pone.0092725>.
Author: Sean Anderson [aut, cre], Cole Monnahan [aut], Kelli Johnson [aut], Kotaro Ono [aut], Juan Valero [aut], Curry Cunningham [aut], Allan Hicks [aut], Felipe Hurtado-Ferro [aut], Peter Kuriyama [aut], Roberto Licandeo [aut], Carey McGilliard [aut], Melissa Muradian [ctb], Merrill Rudd [aut], Christine Stawitz [aut], Cody Szuwalski [aut], Ian Taylor [aut], Katyana Vert-pre [aut], Athol Whitten [aut]
Maintainer: Sean Anderson <sean@seananderson.ca>

Diff between ss3sim versions 0.9.3 dated 2016-11-30 and 0.9.5 dated 2017-04-18

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More information about ss3sim at CRAN
Permanent link

Package propr updated to version 2.2.0 with previous version 2.1.8 dated 2017-03-12

Title: Calculating Proportionality Between Vectors of Compositional Data
Description: The bioinformatic evaluation of gene co-expression often begins with correlation-based analyses. However, this approach lacks statistical validity when applied to relative data. This includes, for example, biological count data generated by high-throughput RNA-sequencing, chromatin immunoprecipitation (ChIP), ChIP-sequencing, Methyl-Capture sequencing, and other techniques. This package implements two metrics, phi [Lovell et al (2015) <DOI:10.1371/journal.pcbi.1004075>] and rho [Erb and Notredame (2016) <DOI:10.1007/s12064-015-0220-8>], to provide a valid alternatives to correlation for relative data. Unlike correlation, these metrics give the same result for both relative and absolute data. Pairs that are strongly proportional in relative space are also strongly correlated in absolute space. Proportionality avoids the pitfall of spurious correlation.
Author: Thomas Quinn [aut, cre], David Lovell [aut], Ionas Erb [ctb], Anders Bilgrau [ctb], Greg Gloor [ctb]
Maintainer: Thomas Quinn <contacttomquinn@gmail.com>

Diff between propr versions 2.1.8 dated 2017-03-12 and 2.2.0 dated 2017-04-18

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More information about propr at CRAN
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Package endorse updated to version 1.5.2 with previous version 1.5.1 dated 2017-03-19

Title: Bayesian Measurement Models for Analyzing Endorsement Experiments
Description: Fit the hierarchical and non-hierarchical Bayesian measurement models proposed by Bullock, Imai, and Shapiro (2011) <DOI:10.1093/pan/mpr031> to analyze endorsement experiments. Endorsement experiments are a survey methodology for eliciting truthful responses to sensitive questions. This methodology is helpful when measuring support for socially sensitive political actors such as militant groups. The model is fitted with a Markov chain Monte Carlo algorithm and produces the output containing draws from the posterior distribution.
Author: Yuki Shiraito [aut, cre], Kosuke Imai [aut], Bryn Rosenfeld [ctb]
Maintainer: Yuki Shiraito <shiraito@princeton.edu>

Diff between endorse versions 1.5.1 dated 2017-03-19 and 1.5.2 dated 2017-04-18

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More information about endorse at CRAN
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Package KFAS updated to version 1.2.6 with previous version 1.2.5 dated 2016-12-23

Title: Kalman Filter and Smoother for Exponential Family State Space Models
Description: State space modelling is an efficient and flexible method for statistical inference of a broad class of time series and other data. KFAS includes fast functions for Kalman filtering, smoothing, forecasting, and simulation of multivariate exponential family state space models, with observations from Gaussian, Poisson, binomial, negative binomial, and gamma distributions.
Author: Jouni Helske <jouni.helske@jyu.fi>
Maintainer: Jouni Helske <jouni.helske@jyu.fi>

Diff between KFAS versions 1.2.5 dated 2016-12-23 and 1.2.6 dated 2017-04-18

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More information about KFAS at CRAN
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Package sunburstR updated to version 0.6.5 with previous version 0.6.4 dated 2017-04-07

Title: 'Htmlwidget' for 'Kerry Rodden' 'd3.js' Sequence Sunburst
Description: Make interactive 'd3.js' sequence sunburst diagrams in R with the convenience and infrastructure of an 'htmlwidget'.
Author: Mike Bostock [aut, cph] (d3.js library, http://d3js.org), Kerry Rodden [aut, cph] (sequences library in htmlwidgets/lib, https://gist.github.com/kerryrodden/7090426), Kent Russell [aut, cre] (R interface), Florian Breitwieser [ctb] (R interface)
Maintainer: Kent Russell <kent.russell@timelyportfolio.com>

Diff between sunburstR versions 0.6.4 dated 2017-04-07 and 0.6.5 dated 2017-04-18

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More information about sunburstR at CRAN
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Package rgbif updated to version 0.9.8 with previous version 0.9.7 dated 2017-01-20

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

Diff between rgbif versions 0.9.7 dated 2017-01-20 and 0.9.8 dated 2017-04-18

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Package PAFit updated to version 0.9.9.0 with previous version 0.9.8.8 dated 2017-04-17

Title: Generative Mechanism Estimation in Temporal Complex Networks
Description: Statistical methods for estimating preferential attachment and node fitness generative mechanisms in temporal complex networks are provided.
Author: Thong Pham, Paul Sheridan, Hidetoshi Shimodaira
Maintainer: Thong Pham <thongpham@thongpham.net>

Diff between PAFit versions 0.9.8.8 dated 2017-04-17 and 0.9.9.0 dated 2017-04-18

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Package lfactors updated to version 1.0.1 with previous version 1.0.0 dated 2016-12-16

Title: Factors with Levels
Description: Provides an extension to factors called 'lfactor' that are similar to factors but allow users to refer to 'lfactor' levels by either the level or the label.
Author: Paul Bailey [aut, cre]
Maintainer: Paul Bailey <pbailey@air.org>

Diff between lfactors versions 1.0.0 dated 2016-12-16 and 1.0.1 dated 2017-04-18

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Package DescTools updated to version 0.99.20 with previous version 0.99.19 dated 2017-02-11

Title: Tools for Descriptive Statistics
Description: A collection of miscellaneous basic statistic functions and convenience wrappers for efficiently describing data. The author's intention was to create a toolbox, which facilitates the (notoriously time consuming) first descriptive tasks in data analysis, consisting of calculating descriptive statistics, drawing graphical summaries and reporting the results. The package contains furthermore functions to produce documents using MS Word (or PowerPoint) and functions to import data from Excel. Many of the included functions can be found scattered in other packages and other sources written partly by Titans of R. The reason for collecting them here, was primarily to have them consolidated in ONE instead of dozens of packages (which themselves might depend on other packages which are not needed at all), and to provide a common and consistent interface as far as function and arguments naming, NA handling, recycling rules etc. are concerned. Google style guides were used as naming rules (in absence of convincing alternatives). The 'camel style' was consequently applied to functions borrowed from contributed R packages as well.
Author: Andri Signorell. Includes R source code and/or documentation previously published by (in alphabetical order): Ken Aho, Andreas Alfons, Nanina Anderegg, Tomas Aragon, Antti Arppe, Adrian Baddeley, Kamil Barton, Ben Bolker, Frederico Caeiro, Stephane Champely, Daniel Chessel, Leanne Chhay, Clint Cummins, Michael Dewey, Harold C. Doran, Stephane Dray, Charles Dupont, Dirk Eddelbuettel, Jeff Enos, Claus Ekstrom, Martin Elff, Kamil Erguler, Richard W. Farebrother, John Fox, Romain Francois, Michael Friendly, Tal Galili, Matthias Gamer, Joseph L. Gastwirth, Yulia R. Gel, Juergen Gross, Gabor Grothendieck, Frank E. Harrell Jr, Richard Heiberger, Michael Hoehle, Christian W. Hoffmann, Torsten Hothorn, Markus Huerzeler, Wallace W. Hui, Pete Hurd, Rob J. Hyndman, Pablo J. Villacorta Iglesias, Matthias Kohl, Mikko Korpela, Max Kuhn, Detlew Labes, Friederich Leisch, Jim Lemon, Dong Li, Martin Maechler, Arni Magnusson, Daniel Malter, George Marsaglia, John Marsaglia, Alina Matei, David Meyer, Weiwen Miao, Giovanni Millo, Yongyi Min, David Mitchell, Markus Naepflin, Daniel Navarro, Henric Nilsson, Klaus Nordhausen, Derek Ogle, Hong Ooi, Nick Parsons, Sandrine Pavoine, Tony Plate, Roland Rapold, William Revelle, Tyler Rinker, Brian D. Ripley, Caroline Rodriguez, Nathan Russell, Nick Sabbe, Venkatraman E. Seshan, Greg Snow, Michael Smithson, Werner A. Stahel, Mark Stevenson, Matthias Templ, Terry Therneau, Yves Tille, Adrian Trapletti, Kevin Ushey, Jeremy VanDerWal, Bill Venables, John Verzani, Gregory R. Warnes, Stefan Wellek, Hadley Wickham, Rand R. Wilcox, Peter Wolf, Daniel Wollschlaeger, Thomas Yee, Achim Zeileis
Maintainer: Andri Signorell <andri@signorell.net>

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Package datacheckr updated to version 0.2.0 with previous version 0.1.2 dated 2016-11-06

Title: Data Checking
Description: Checks column names, classes, values, keys and joins in data frames. Also checks length, class and values of vectors and scalars. Returns an informative error message if user-defined conditions are not met.
Author: Joe Thorley [aut, cre]
Maintainer: Joe Thorley <joe@poissonconsulting.ca>

Diff between datacheckr versions 0.1.2 dated 2016-11-06 and 0.2.0 dated 2017-04-18

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More information about datacheckr at CRAN
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Package d3r updated to version 0.6.3 with previous version 0.6.2 dated 2017-03-02

Title: 'd3.js' Utilities for R
Description: Helper functions for using 'd3.js' in R.
Author: Mike Bostock [aut, cph] (d3.js library in htmlwidgets/lib, http://d3js.org), Kent Russell [aut, cre] (R interface)
Maintainer: Kent Russell <kent.russell@timelyportfolio.com>

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More information about d3r at CRAN
Permanent link

Package codingMatrices updated to version 0.3.0 with previous version 0.2.2 dated 2017-02-23

Title: Alternative Factor Coding Matrices for Linear Model Formulae
Description: A collection of coding functions as alternatives to the standard functions in the stats package, which have names starting with 'contr.'. Their main advantage is that they provide a consistent method for defining marginal effects in factorial models. In a simple one-way ANOVA model the intercept term is always the simple average of the class means.
Author: Bill Venables
Maintainer: Bill Venables <Bill.Venables@gmail.com>

Diff between codingMatrices versions 0.2.2 dated 2017-02-23 and 0.3.0 dated 2017-04-18

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Package uqr updated to version 1.0.0 with previous version 0.2.0 dated 2016-11-19

Title: Unconditional Quantile Regression
Description: Estimation and Inference for Unconditional Quantile Regression for cross-sectional and panel data (see Firpo et al. (2009) <DOI:10.3982/ECTA6822>).
Author: Stefano Nembrini <stefanonembrini@gmail.com>
Maintainer: Stefano Nembrini <stefanonembrini@gmail.com>

Diff between uqr versions 0.2.0 dated 2016-11-19 and 1.0.0 dated 2017-04-18

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Package shiny updated to version 1.0.2 with previous version 1.0.1 dated 2017-04-01

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

Diff between shiny versions 1.0.1 dated 2017-04-01 and 1.0.2 dated 2017-04-18

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More information about shiny at CRAN
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New package ReinforcementLearning with initial version 1.0.0
Package: ReinforcementLearning
Type: Package
Title: Model-Free Reinforcement Learning
Version: 1.0.0
Date: 2017-04-17
Authors@R: c(person("Nicolas", "Proellochs", email="nicolas.proellochs@is.uni-freiburg.de", role=c("aut", "cre")), person("Stefan", "Feuerriegel", email="stefan.feuerriegel@is.uni-freiburg.de", role=c("aut")))
Maintainer: Nicolas Proellochs <nicolas.proellochs@is.uni-freiburg.de>
Description: Performs model-free reinforcement learning in R. This implementation enables the learning of an optimal policy based on sample sequences consisting of states, actions and rewards. In addition, it supplies multiple predefined reinforcement learning algorithms, such as experience replay.
License: MIT + file LICENSE
Depends: R (>= 3.2.0)
Imports: ggplot2, hash (>= 2.0), data.table
Suggests: testthat, knitr, rmarkdown
LazyData: TRUE
RoxygenNote: 6.0.1
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2017-04-18 17:03:48 UTC; Nic
Author: Nicolas Proellochs [aut, cre], Stefan Feuerriegel [aut]
Repository: CRAN
Date/Publication: 2017-04-18 17:40:53 UTC

More information about ReinforcementLearning at CRAN
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New package RcppQuantuccia with initial version 0.0.1
Package: RcppQuantuccia
Type: Package
Title: R Bindings to the 'Quantuccia' Header-Only Essentials of 'QuantLib'
Version: 0.0.1
Date: 2017-04-17
Author: Dirk Eddelbuettel; the authors and contributors of QuantLib
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Description: 'QuantLib' bindings are provided for R using 'Rcpp' and the header-only 'Quantuccia' variant (put together by Peter Caspers) offering an essential subset of 'QuantLib'. See the included file 'AUTHORS' for a full list of contributors to both 'QuantLib' and 'Quantuccia'.
License: GPL (>= 2)
Imports: Rcpp
LinkingTo: Rcpp, BH
RoxygenNote: 6.0.1
NeedsCompilation: yes
Encoding: UTF-8
Packaged: 2017-04-18 13:08:07.26676 UTC; edd
Repository: CRAN
Date/Publication: 2017-04-18 17:42:20 UTC

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Package freqweights updated to version 1.0.3 with previous version 1.0.2 dated 2015-06-22

Title: Working with Frequency Tables
Description: The frequency of a particular data value is the number of times it occurs. A frequency table is a table of values with their corresponding frequencies. Frequency weights are integer numbers that indicate how many cases each case represents. This package provides some functions to work with such type of collected data.
Author: Emilio Torres-Manzanera
Maintainer: Emilio Torres-Manzanera <torres@uniovi.es>

Diff between freqweights versions 1.0.2 dated 2015-06-22 and 1.0.3 dated 2017-04-18

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Package spatialsegregation updated to version 2.44 with previous version 2.43 dated 2016-10-11

Title: Segregation Measures for Multitype Spatial Point Patterns
Description: Summaries for measuring segregation/mingling in multitype spatial point patterns with graph based neighbourhood description. Included indices: Mingling, Shannon, Simpson (also the non-spatial) Included functionals: Mingling, Shannon, Simpson, ISAR, MCI. Included neighbourhoods: Geometric, k- nearest neighbours, Gabriel, Delaunay. Dixon's test.
Author: Tuomas Rajala
Maintainer: Tuomas Rajala <tuomas.rajala@iki.fi>

Diff between spatialsegregation versions 2.43 dated 2016-10-11 and 2.44 dated 2017-04-18

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Package SGCS updated to version 2.6 with previous version 2.5 dated 2016-10-11

Title: Spatial Graph Based Clustering Summaries for Spatial Point Patterns
Description: Graph based clustering summaries for spatial point patterns. Includes Connectivity function, Cumulative connectivity function and clustering function, plus the triangle/triplet intensity function T.
Author: Tuomas Rajala
Maintainer: Tuomas Rajala <tuomas.rajala@iki.fi>

Diff between SGCS versions 2.5 dated 2016-10-11 and 2.6 dated 2017-04-18

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Package Rsampletrees updated to version 1.0 with previous version 0.1 dated 2015-02-02

Title: MCMC Sampling of Gene Genealogies Conditional on Genetic Data
Description: Sample ancestral trees conditional on phased or unphased SNP genotype data. The actual tree sampling is done using a C++ program that is launched within R. The package also contains functions for specifying the tree-sampling settings (pre-processing) and for storing and manipulating the sampled trees (post-processing). More information about 'sampletrees' can be found at <http://stat.sfu.ca/statgen/research/sampletrees.html>.
Author: Kelly Burkett, Brad McNeney, Jinko Graham, Jean-Francois Lefebvre
Maintainer: Jean-Francois Lefebvre <jflefebvre27@gmail.com>

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Package MVar.pt updated to version 1.9.8 with previous version 1.9.7 dated 2017-03-02

Title: Analise multivariada (brazilian portuguese)
Description: Pacote para analise multivariada, que possui funcoes que executam analise de correspondencia simples (CA) e multipla (MCA), analise de componentes principais (PCA), analise de correlacao canonica (CCA), analise fatorial (FA), escalonamento multidimensional (MDS), analise de cluster hierarquico e nao hierarquico, regressao linear, analise de multiplos fatores (MFA) para dados quantitativos, qualitativos, de frequencia (MFACT) e dados mistos. Tambem possui outras funcoes uteis para a analise multivariada.
Author: Paulo Cesar Ossani <ossanipc@hotmail.com> Marcelo Angelo Cirillo <macufla@dex.ufla.br>
Maintainer: Paulo Cesar Ossani <ossanipc@hotmail.com>

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Package icosa updated to version 0.9.81 with previous version 0.9.80 dated 2017-04-17

Title: Global Triangular and Penta-Hexagonal Grids Based on Tessellated Icosahedra
Description: Employs triangular tessellation to refine icosahedra defined in 3d space. The procedures can be set to provide a grid with a custom resolution. Both the primary triangular and their inverted penta- hexagonal grids are available for implementation. Additional functions are provided to position points (latitude-longitude data) on the grids, to allow 2D and 3D plotting, use raster data and shapefiles.
Author: Adam T. Kocsis [aut, cre]
Maintainer: Adam T. Kocsis <adam.kocsis@outlook.com>

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Package GrpString updated to version 0.3.1 with previous version 0.2.1 dated 2017-03-15

Title: Patterns and Statistical Differences Between Two Groups of Strings
Description: Methods include converting series of event names to strings, finding common patterns in a group of strings, discovering "unique" patterns when comparing two groups of strings as well as the number and starting position of each pattern in each string, obtaining transition matrix, computing transition entropy, statistically comparing the difference between two groups of strings, and clustering string groups.Event names can be any action names or labels such as events in log files or areas of interest (AOIs) in eye tracking research.
Author: Hui Tang, Norbert J. Pienta
Maintainer: Hui (Tom) Tang <htang2013@gmail.com>

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Package Rpoppler updated to version 0.1-0 with previous version 0.0-3 dated 2017-01-22

Title: PDF Tools Based on Poppler
Description: PDF tools based on the Poppler PDF rendering library. See <http://poppler.freedesktop.org/> for more information on Poppler.
Author: Kurt Hornik [aut, cre]
Maintainer: Kurt Hornik <Kurt.Hornik@R-project.org>

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Package MatchIt updated to version 3.0.1 with previous version 2.4-22 dated 2017-02-22

Title: Nonparametric Preprocessing for Parametric Casual Inference
Description: Selects matched samples of the original treated and control groups with similar covariate distributions -- can be used to match exactly on covariates, to match on propensity scores, or perform a variety of other matching procedures. The package also implements a series of recommendations offered in Ho, Imai, King, and Stuart (2007) <DOI:10.1093/pan/mpl013>.
Author: Daniel Ho [aut], Kosuke Imai [aut, cre], Gary King [aut], Elizabeth Stuart [aut], Alex Whitworth [ctb]
Maintainer: Kosuke Imai <kimai@Princeton.Edu>

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Package bbmle updated to version 1.0.19 with previous version 1.0.18 dated 2016-02-11

Title: Tools for General Maximum Likelihood Estimation
Description: Methods and functions for fitting maximum likelihood models in R. This package modifies and extends the 'mle' classes in the 'stats4' package.
Author: Ben Bolker <bolker@mcmaster.ca>, R Development Core Team
Maintainer: Ben Bolker <bolker@mcmaster.ca>

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Package longCatEDA updated to version 0.31 with previous version 0.30 dated 2017-01-21

Title: Package for Plotting Categorical Longitudinal and Time-Series Data
Description: Methods for plotting categorical longitudinal and time-series data by mapping individuals to the vertical space (each horizontal line represents a participant), time (or repeated measures) to the horizontal space, categorical (or discrete) states as facets using color or shade, and events to points using plotting characters. Sorting individuals in the vertical space and (or) stratifying them by groups can reveal patterns in the changes over time.
Author: Stephen Tueller. Funded by the National Institute on Drug Abuse (NIDA) Award number 1R03DA030850, the National Institute on Alcohol Abuse and Alcoholism (NIAAA) Award Number R03 AA019775, and the National Institute of Justice Award Number 2011-RY-BX-0003.
Maintainer: Stephen Tueller <stueller@rti.org>

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Package FFTrees updated to version 1.2.2 with previous version 1.1.8 dated 2016-10-08

Title: Generate, Visualise, and Compare Fast and Frugal Decision Trees
Description: Create, visualise, and test fast and frugal decision trees (FFTrees). FFTrees are very simple decision trees for classifying cases (i.e.; breast cancer patients) into one of two classes (e.g.; no cancer vs. true cancer) based on a small number of cues (e.g.; test results). FFTrees can be preferable to more complex algorithms because they are easy to communicate, require very little information, and are robust against overfitting.
Author: Nathaniel Phillips [aut, cre]
Maintainer: Nathaniel Phillips <Nathaniel.D.Phillips.is@gmail.com>

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Package cna updated to version 2.0.0 with previous version 1.0-3 dated 2015-04-18

Title: Causal Modeling with Coincidence Analysis
Description: Provides comprehensive functionalities for causal modeling with Coincidence Analysis (CNA), which is a configurational comparative method of causal data analysis that was first introduced in Baumgartner (2009) <doi:10.1177/0049124109339369>. CNA is related to Qualitative Comparative Analysis (QCA), but contrary to the latter, it is custom-built for uncovering causal structures with multiple outcomes. While previous versions have only been capable of processing dichotomous variables, the current version generalizes CNA for multi-value and continuous variables whose values are interpreted as membership scores in fuzzy sets.
Author: Mathias Ambuehl [aut, cre, cph], Michael Baumgartner [aut, cph], Ruedi Epple [ctb], Alrik Thiem [ctb]
Maintainer: Mathias Ambuehl <mathias.ambuehl@consultag.ch>

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Package tseries updated to version 0.10-39 with previous version 0.10-38 dated 2017-02-20

Title: Time Series Analysis and Computational Finance
Description: Time series analysis and computational finance.
Author: Adrian Trapletti [aut], Kurt Hornik [aut, cre], Blake LeBaron [ctb] (BDS test code)
Maintainer: Kurt Hornik <Kurt.Hornik@R-project.org>

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Package ReIns updated to version 1.0.3 with previous version 1.0.2 dated 2017-02-15

Title: Functions from "Reinsurance: Actuarial and Statistical Aspects"
Description: Functions from the book "Reinsurance: Actuarial and Statistical Aspects" (Wiley, 2017, forthcoming) by Hansjoerg Albrecher, Jan Beirlant and Jef Teugels.
Author: Tom Reynkens [aut, cre], Roel Verbelen [aut] (R code for Mixed Erlang distribution), Anastasios Bardoutsos [ctb] (Original R code for cEPD estimator), Dries Cornilly [ctb] (Original R code for EVT estimators for truncated data), Yuri Goegebeur [ctb] (Original S-Plus code for basic EVT estimators), Klaus Herrmann [ctb] (Original R code for GPD estimator)
Maintainer: Tom Reynkens <tomreynkens@hotmail.com>

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Package acnr updated to version 1.0.0 with previous version 0.2.4 dated 2014-11-19

Title: Annotated Copy-Number Regions
Description: Provides SNP array data from different types of copy-number regions. These regions were identified manually by the authors of the package and may be used to generate realistic data sets with known truth.
Author: Morgane Pierre-Jean [aut, cre], Pierre Neuvial [aut]
Maintainer: Morgane Pierre-Jean <morgane.pierrejean@genopole.cnrs.fr>

Diff between acnr versions 0.2.4 dated 2014-11-19 and 1.0.0 dated 2017-04-18

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Package topicmodels updated to version 0.2-6 with previous version 0.2-5 dated 2017-02-28

Title: Topic Models
Description: Provides an interface to the C code for Latent Dirichlet Allocation (LDA) models and Correlated Topics Models (CTM) by David M. Blei and co-authors and the C++ code for fitting LDA models using Gibbs sampling by Xuan-Hieu Phan and co-authors.
Author: Bettina Grün [aut, cre], Kurt Hornik [aut]
Maintainer: Bettina Grün <Bettina.Gruen@jku.at>

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Package readxl updated to version 1.0.0 with previous version 0.1.1 dated 2016-03-28

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

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Package QICD updated to version 1.2.0 with previous version 1.1.1 dated 2016-05-30

Title: Estimate the Coefficients for Non-Convex Penalized Quantile Regression Model by using QICD Algorithm
Description: Extremely fast algorithm "QICD", Iterative Coordinate Descent Algorithm for High-dimensional Nonconvex Penalized Quantile Regression. This algorithm combines the coordinate descent algorithm in the inner iteration with the majorization minimization step in the outside step. For each inner univariate minimization problem, we only need to compute a one-dimensional weighted median, which ensures fast computation. Tuning parameter selection is based on two different method: the cross validation and BIC for quantile regression model. Details are described in Peng,B and Wang,L. (2015) <DOI:10.1080/10618600.2014.913516>.
Author: Bo Peng [aut, cre], Rondall E. Jones [ctb], John A. Wisniewski [ctb]
Maintainer: Bo Peng <peng0199@umn.edu>

Diff between QICD versions 1.1.1 dated 2016-05-30 and 1.2.0 dated 2017-04-18

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Package imputeTS updated to version 2.1 with previous version 2.0 dated 2017-04-08

Title: Time Series Missing Value Imputation
Description: Imputation (replacement) of missing values in univariate time series.
Author: Steffen Moritz
Maintainer: Steffen Moritz <steffen.moritz10@gmail.com>

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Package caret updated to version 6.0-76 with previous version 6.0-73 dated 2016-11-10

Title: Classification and Regression Training
Description: Misc functions for training and plotting classification and regression models.
Author: Max Kuhn. Contributions from Jed Wing, Steve Weston, Andre Williams, Chris Keefer, Allan Engelhardt, Tony Cooper, Zachary Mayer, Brenton Kenkel, the R Core Team, Michael Benesty, Reynald Lescarbeau, Andrew Ziem, Luca Scrucca, Yuan Tang, Can Candan, and Tyler Hunt.
Maintainer: Max Kuhn <mxkuhn@gmail.com>

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New package TSGSIS with initial version 0.1
Package: TSGSIS
Title: Two Stage-Grouped Sure Independence Screening
Description: To provide a high dimensional grouped variable selection approach for detection of whole-genome SNP effects and SNP-SNP interactions, as described in Fang et al. (2017, under review).
Version: 0.1
Author: Yao-Hwei Fang, Jie-Huei Wang, and Chao A. Hsiung
Maintainer: Yao-Hwei Fang <yhfang@nhri.org.tw>
Date: 2017-04-18
Depends: R (>= 3.2.3), glmnet, MASS, stats
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
Repository: CRAN
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-04-18 01:08:21 UTC; lulu
Date/Publication: 2017-04-18 06:43:40 UTC

More information about TSGSIS at CRAN
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Package quantreg updated to version 5.33 with previous version 5.29 dated 2016-09-04

Title: Quantile Regression
Description: Estimation and inference methods for models of conditional quantiles: Linear and nonlinear parametric and non-parametric (total variation penalized) models for conditional quantiles of a univariate response and several methods for handling censored survival data. Portfolio selection methods based on expected shortfall risk are also included.
Author: Roger Koenker [cre, aut], Stephen Portnoy [ctb] (Contributions to Censored QR code), Pin Tian Ng [ctb] (Contributions to Sparse QR code), Achim Zeileis [ctb] (Contributions to dynrq code essentially identical to his dynlm code), Philip Grosjean [ctb] (Contributions to nlrq code), Brian D Ripley [trl, ctb] (Initial (2001) R port from S (to my everlasting shame -- how could I have been so slow to adopt R!) and for numerous other suggestions and useful advice)
Maintainer: Roger Koenker <rkoenker@illinois.edu>

Diff between quantreg versions 5.29 dated 2016-09-04 and 5.33 dated 2017-04-18

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New package WLreg with initial version 1.0.0
Package: WLreg
Type: Package
Version: 1.0.0
Date: 2017-04-18
Title: Regression Analysis Based on Win Loss Endpoints
Description: Use various regression models for the analysis of win loss endpoints adjusting for non-binary and multivariate covariates.
Authors@R: c( person(given="Xiaodong", family="Luo", email = "Xiaodong.Luo@sanofi.com", role =c("aut", "cre")), person("Sanofi", role = "cph"))
Depends: R (>= 3.1.2)
Imports: inline, stats, survival
License: GPL (>= 2)
RoxygenNote: 5.0.1
LazyData: true
NeedsCompilation: yes
Packaged: 2017-04-18 02:46:58 UTC; Administrator
Author: Xiaodong Luo [aut, cre], Sanofi [cph]
Maintainer: Xiaodong Luo <Xiaodong.Luo@sanofi.com>
Repository: CRAN
Date/Publication: 2017-04-18 05:29:06 UTC

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Package seqminer updated to version 5.9 with previous version 5.7 dated 2017-01-13

Title: Efficiently Read Sequence Data (VCF Format, BCF Format and METAL Format) into R
Description: Integrate sequencing data (Variant call format, e.g. VCF or BCF) or meta-analysis results in R. This package can help you (1) read VCF/BCF files by chromosomal ranges (e.g. 1:100-200); (2) read RareMETAL summary statistics files; (3) read tables from a tabix-indexed files; (4) annotate VCF/BCF files; (5) create customized workflow based on Makefile.
Author: Xiaowei Zhan [aut, cre], Dajiang Liu [aut], Attractive Chaos [cph] (We have used the following software and made minimal necessary changes: Tabix, Heng Li <lh3@live.co.uk> (MIT license). We removed standard IO related functions, e.g. printf, fprintf ; also changed its un-safe pointer arithmetics.), Broad Institute / Massachusetts Institute of Technology [cph], Genome Research Ltd (GRL) [cph]
Maintainer: Xiaowei Zhan <zhanxw@gmail.com>

Diff between seqminer versions 5.7 dated 2017-01-13 and 5.9 dated 2017-04-18

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Package partialAR updated to version 1.0.10 with previous version 1.0.5 dated 2015-02-04

Title: Partial Autoregression
Description: A time series is said to be partially autoregressive if it can be represented as a sum of a random walk and an autoregressive sequence without unit roots. This package fits partially autoregressive time series, where the autoregressive component is AR(1). This may be of use in modeling certain financial time series.
Author: Matthew Clegg [aut, cre, cph]
Maintainer: Matthew Clegg <matthewcleggphd@gmail.com>

Diff between partialAR versions 1.0.5 dated 2015-02-04 and 1.0.10 dated 2017-04-18

 DESCRIPTION                 |   16 ++++++++--------
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 NAMESPACE                   |   34 +++++++++++++++++++++++++++++++---
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 4 files changed, 42 insertions(+), 13 deletions(-)

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Package hyperdirichlet updated to version 1.5-0 with previous version 1.4-9 dated 2013-12-10

Title: A Generalization of the Dirichlet Distribution
Description: A suite of routines for the hyperdirichlet distribution.
Author: Robin K.S. Hankin
Maintainer: Robin K. S. Hankin <hankin.robin@gmail.com>

Diff between hyperdirichlet versions 1.4-9 dated 2013-12-10 and 1.5-0 dated 2017-04-18

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Package gcKrig updated to version 1.0.2 with previous version 1.0.1 dated 2016-12-07

Title: Analysis of Geostatistical Count Data using Gaussian Copulas
Description: Provides a variety of functions to analyze and model geostatistical count data with Gaussian copulas, including 1) data simulation and visualization; 2) correlation structure assessment (here also known as the Normal To Anything); 3) calculate multivariate normal rectangle probabilities; 4) likelihood inference and parallel prediction at predictive locations.
Author: Zifei Han
Maintainer: Zifei Han <hanzifei1@gmail.com>

Diff between gcKrig versions 1.0.1 dated 2016-12-07 and 1.0.2 dated 2017-04-18

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Package boral updated to version 1.3.1 with previous version 1.3 dated 2017-04-15

Title: Bayesian Ordination and Regression AnaLysis
Description: Bayesian approaches for analyzing multivariate data in ecology. Estimation is performed using Markov Chain Monte Carlo (MCMC) methods via JAGS. Three types of models may be fitted: 1) With explanatory variables only, boral fits independent column Generalized Linear Models (GLMs) to each column of the response matrix; 2) With latent variables only, boral fits a purely latent variable model for model-based unconstrained ordination; 3) With explanatory and latent variables, boral fits correlated column GLMs with latent variables to account for any residual correlation between the columns of the response matrix.
Author: Francis K.C. Hui
Maintainer: Francis Hui <fhui28@gmail.com>

Diff between boral versions 1.3 dated 2017-04-15 and 1.3.1 dated 2017-04-18

 DESCRIPTION           |    8 ++++----
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