Wed, 22 Feb 2017

Package textshape updated to version 1.0.2 with previous version 1.0.1 dated 2017-01-20

Title: Tools for Reshaping Text
Description: Tools that can be used to reshape and restructure text data.
Author: Tyler Rinker [aut, cre], Joran Elias [ctb], Matthew Flickinger [ctb]
Maintainer: Tyler Rinker <tyler.rinker@gmail.com>

Diff between textshape versions 1.0.1 dated 2017-01-20 and 1.0.2 dated 2017-02-22

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 textshape-1.0.2/textshape/R/split_portion.R                 |   11 
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 textshape-1.0.2/textshape/R/split_sentence.R                |   10 
 textshape-1.0.2/textshape/R/split_speaker.R                 |   10 
 textshape-1.0.2/textshape/R/split_token.R                   |   14 
 textshape-1.0.2/textshape/R/split_transcript.R              |   10 
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Package textclean updated to version 0.3.1 with previous version 0.3.0 dated 2017-01-22

Title: Text Cleaning Tools
Description: Tools to clean and process text. Tools are geared at checking for substrings that are not optimal for analysis and replacing or removing them with more analysis friendly substrings. For example, emoticons are often used in text but not always easily handled by analysis algorithms. The 'replace_emoticon' function replaces emoticons with word equivalents.
Author: Tyler Rinker [aut, cre]
Maintainer: Tyler Rinker <tyler.rinker@gmail.com>

Diff between textclean versions 0.3.0 dated 2017-01-22 and 0.3.1 dated 2017-02-22

 DESCRIPTION             |   21 ++--
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 22 files changed, 266 insertions(+), 129 deletions(-)

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Package spatstat.utils updated to version 1.3-2 with previous version 1.2-8 dated 2017-02-16

Title: Experimental Subset of 'spatstat' Utilities
Description: This is an experimental package containing a subset of 'spatstat'.
Author: Adrian Baddeley [aut, cre], Rolf Turner [aut], Ege Rubak [aut]
Maintainer: Adrian Baddeley <Adrian.Baddeley@curtin.edu.au>

Diff between spatstat.utils versions 1.2-8 dated 2017-02-16 and 1.3-2 dated 2017-02-22

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 11 files changed, 53 insertions(+), 30 deletions(-)

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Package SIBER updated to version 2.1.0 with previous version 2.0.3 dated 2016-08-03

Title: Stable Isotope Bayesian Ellipses in R
Description: Fits bi-variate ellipses to stable isotope data using Bayesian inference with the aim being to describe and compare their isotopic niche.
Author: Andrew Jackson and Andrew Parnell
Maintainer: Andrew Jackson <a.jackson@tcd.ie>

Diff between SIBER versions 2.0.3 dated 2016-08-03 and 2.1.0 dated 2017-02-22

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New package restriktor with initial version 0.1-55
Package: restriktor
Title: Restricted Statistical Estimation and Inference for Linear Models
Version: 0.1-55
Authors@R: c(person(given = "Leonard", family = "Vanbrabant", role = c("aut","cre"), email = "Leonard.Vanbrabant@Ugent.be") )
Description: Allow for easy-to-use testing of linear equality and inequality restrictions about parameters and effects in linear, robust linear and generalized linear statistical models.
Depends: R(>= 3.0.0)
Imports: boot, ic.infer, lavaan, MASS, mvtnorm, quadprog
License: GPL (>= 2)
LazyData: yes
URL: http://restriktor.org
NeedsCompilation: no
Packaged: 2017-02-21 21:23:50 UTC; leonardv
Author: Leonard Vanbrabant [aut, cre]
Maintainer: Leonard Vanbrabant <Leonard.Vanbrabant@Ugent.be>
Suggests:
Repository: CRAN
Date/Publication: 2017-02-22 08:42:34

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Package R2OpenBUGS updated to version 3.2-3.2 with previous version 3.2-3.1 dated 2015-04-07

Title: Running OpenBUGS from R
Description: Using this package, it is possible to call a BUGS model, summarize inferences and convergence in a table and graph, and save the simulations in arrays for easy access in R.
Author: originally written as R2WinBUGS by Andrew Gelman <gelman@stat.columbia.edu>; changes and packaged by Sibylle Sturtz <sturtz@statistik.tu-dortmund.de> and Uwe Ligges <ligges@statistik.tu-dortmund.de>. With considerable contributions by Gregor Gorjanc <gregor.gorjanc@bfro.uni-lj.si> and Jouni Kerman <kerman@stat.columbia.edu>. Adapted to R2OpenBUGS from R2WinBUGS by Neal Thomas.
Maintainer: Neal Thomas <snthomas99@gmail.com>

Diff between R2OpenBUGS versions 3.2-3.1 dated 2015-04-07 and 3.2-3.2 dated 2017-02-22

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 11 files changed, 30 insertions(+), 20 deletions(-)

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New package harrietr with initial version 0.2.2
Package: harrietr
Type: Package
Title: Wrangle Phylogenetic Distance Matrices and Other Utilities
Version: 0.2.2
Authors@R: person("Anders", "Gonçalves da Silva", email = "andersgs@gmail.com", role = c("aut", "cre"))
Description: Harriet was Charles Darwin's pet tortoise (possibly). 'harritr' implements some function to manipulate distance matrices and phylogenetic trees to make it easier to plot with 'ggplot2' and to manipulate using 'tidyverse' tools.
Depends: R (>= 3.3.0)
License: GPL-3 | file LICENSE
URL: https://github.com/andersgs/harrietr
BugReports: https://github.com/andersgs/harrietr/issues
Encoding: UTF-8
LazyData: true
Imports: ape (>= 3.5), ggtree (>= 1.6.9), ggplot2 (>= 2.1.0), magrittr (>= 1.5), lazyeval (>= 0.2.0), dplyr (>= 0.5.0), tidyr (>= 0.6.0)
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-02-22 04:41:15 UTC; andersg
Author: Anders Gonçalves da Silva [aut, cre]
Maintainer: Anders Gonçalves da Silva <andersgs@gmail.com>
Repository: CRAN
Date/Publication: 2017-02-22 08:42:32

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Package h2o updated to version 3.10.3.6 with previous version 3.10.3.3 dated 2017-02-03

Title: R Interface for H2O
Description: R scripting functionality for H2O, the open source math engine for big data that computes parallel distributed machine learning algorithms such as generalized linear models, gradient boosting machines, random forests, and neural networks (deep learning) within various cluster environments.
Author: The H2O.ai team
Maintainer: Tom Kraljevic <tomk@0xdata.com>

Diff between h2o versions 3.10.3.3 dated 2017-02-03 and 3.10.3.6 dated 2017-02-22

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Package gdpc updated to version 1.0.2 with previous version 1.0.1 dated 2017-01-19

Title: Generalized Dynamic Principal Components
Description: Functions to compute the Generalized Dynamic Principal Components introduced in Peña and Yohai (2016) <DOI:10.1080/01621459.2015.1072542>.
Author: Daniel Peña <daniel.pena@uc3m.es>, Ezequiel Smucler <ezequiels.90@gmail.com>, Victor Yohai <vyohai@dm.uba.ar>
Maintainer: Ezequiel Smucler <ezequiels.90@gmail.com>

Diff between gdpc versions 1.0.1 dated 2017-01-19 and 1.0.2 dated 2017-02-22

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Package choroplethrAdmin1 updated to version 1.1.1 with previous version 1.1.0 dated 2015-12-30

Title: Contains an Administrative-Level-1 Map of the World
Description: Contains an administrative-level-1 map of the world. Administrative-level-1 is the generic term for the largest sub-national subdivision of a country. This package was created for use with the choroplethr package.
Author: Ari Lamstein <ari@lamsteinconsulting.com>
Maintainer: Ari Lamstein <ari@lamsteinconsulting.com>

Diff between choroplethrAdmin1 versions 1.1.0 dated 2015-12-30 and 1.1.1 dated 2017-02-22

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New package BCC1997 with initial version 0.1.1
Package: BCC1997
Type: Package
Title: Calculation of Option Prices Based on a Universal Solution
Version: 0.1.1
Author: Haoran Zhang
Maintainer: Haoran Zhang <hzz0017@auburn.edu>
Description: Calculates the prices of European options based on the universal solution provided by Bakshi, Cao and Chen (1997) <doi:10.1111/j.1540-6261.1997.tb02749.x>. This solution considers stochastic volatility, stochastic interest and random jumps. Please cite their work if this package is used.
Depends: R (>= 3.1.0)
Imports: stats
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2017-02-21 22:38:36 UTC; hzz0017
Repository: CRAN
Date/Publication: 2017-02-22 08:42:11

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New package BayesSpec with initial version 0.5.3
Package: BayesSpec
Type: Package
Title: Bayesian Spectral Analysis Techniques
Version: 0.5.3
Author: Rosen, O., Wood, S. and Stoffer, D.
Maintainer: Andrew Ferris <andrew.ferris@sydney.edu.au>
Description: An implementation of methods for spectral analysis using the Bayesian framework. It includes functions for modelling spectrum as well as appropriate plotting and output estimates. There is segmentation capability with RJ MCMC (Reversible Jump Markov Chain Monte Carlo). The package takes these methods predominantly from the 2012 paper "AdaptSPEC: Adaptive Spectral Estimation for Nonstationary Time Series" <DOI:10.1080/01621459.2012.716340>.
Imports: mvtnorm (>= 1.0-5), pscl (>= 1.4.9), trust (>= 0.1-7)
License: GPL-3
LazyLoad: TRUE
LazyData: TRUE
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-02-21 23:06:27 UTC; andrewferris
Repository: CRAN
Date/Publication: 2017-02-22 08:42:14

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New package bamlss with initial version 0.1-1
Package: bamlss
Version: 0.1-1
Date: 2017-02-21
Title: Bayesian Additive Models for Location Scale and Shape (and Beyond)
Authors@R: c(person(given = "Nikolaus", family = "Umlauf", role = c("aut", "cre"), email = "Nikolaus.Umlauf@uibk.ac.at"), person(given = "Nadja", family = "Klein", role = "aut", email = "nklein@uni-goettingen.de"), person(given = "Achim", family = "Zeileis", role = "aut", email = "Achim.Zeileis@R-project.org"), person(given = "Meike", family = "Koehler", role = "aut", email = "Meike.Koehler@helmholtz-muenchen.de"))
Description: R infrastructures for Bayesian regression models.
Depends: R (>= 3.2.3), coda, colorspace, mgcv
Imports: Formula, MBA, mvtnorm, sp, spam, Matrix, survival, methods, parallel
Suggests: akima, bit, fields, gamlss, geoR, rjags, BayesX, BayesXsrc, mapdata, maps, maptools, raster, spatstat, spdep, zoo
License: GPL-2 | GPL-3
LazyLoad: yes
NeedsCompilation: yes
Packaged: 2017-02-21 14:08:05 UTC; nik
Author: Nikolaus Umlauf [aut, cre], Nadja Klein [aut], Achim Zeileis [aut], Meike Koehler [aut]
Maintainer: Nikolaus Umlauf <Nikolaus.Umlauf@uibk.ac.at>
Repository: CRAN
Date/Publication: 2017-02-22 08:48:03

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Package bnpa (with last version 0.2.0) was removed from CRAN

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

2017-01-13 0.2.0

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Tue, 21 Feb 2017

Package WARN updated to version 1.2-2 with previous version 1.2-1 dated 2016-06-26

Title: Weaning Age Reconstruction with Nitrogen Isotope Analysis
Description: This estimates precise weaning ages for a given skeletal population by analyzing the stable nitrogen isotope ratios of them. Bone collagen turnover rates estimated anew and the approximate Bayesian computation (ABC) were adopted in this package.
Author: Takumi Tsutaya
Maintainer: Takumi Tsutaya <tsutayatakumi@gmail.com>

Diff between WARN versions 1.2-1 dated 2016-06-26 and 1.2-2 dated 2017-02-21

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 6 files changed, 34 insertions(+), 11 deletions(-)

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Package tcgsaseq updated to version 1.4.1 with previous version 1.3.1 dated 2016-11-24

Title: Time-Course Gene Set Analysis for RNA-Seq Data
Description: Gene set analysis of longitudinal RNA-seq data with variance component score test accounting for data heteroscedasticity through precision weights. Method is detailed in: Agniel D, Hejblum BP (2016) Variance component score test for time-course gene set analysis of longitudinal RNA-seq data <arXiv:1605.02351>.
Author: Denis Agniel [aut], Boris P. Hejblum [aut, cre]
Maintainer: Boris P. Hejblum <boris.hejblum@u-bordeaux.fr>

Diff between tcgsaseq versions 1.3.1 dated 2016-11-24 and 1.4.1 dated 2017-02-21

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Package mbbefd updated to version 0.8.8 with previous version 0.8.7 dated 2016-12-30

Title: Maxwell Boltzmann Bose Einstein Fermi Dirac Distribution and Destruction Rate Modelling
Description: Distributions that are typically used for exposure rating in general insurance, in particular to price reinsurance contracts. The vignettes show code snippets to fit the distribution to empirical data.
Author: Giorgio Spedicato [aut, cre], Christophe Dutang [aut], Markus Gesmann [ctb]
Maintainer: Giorgio Spedicato <spedicato_giorgio@yahoo.it>

Diff between mbbefd versions 0.8.7 dated 2016-12-30 and 0.8.8 dated 2017-02-21

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 DESCRIPTION                         |    6 +++---
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 NAMESPACE                           |    2 +-
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More information about mbbefd at CRAN
Permanent link

Package copCAR updated to version 2.0-1 with previous version 2.0 dated 2017-02-16

Title: Fitting the copCAR Regression Model for Discrete Areal Data
Description: Provides tools for fitting the copCAR (Hughes, 2015) <DOI:10.1080/10618600.2014.948178> regression model for discrete areal data. Three types of estimation are supported (continuous extension, composite marginal likelihood, and distributional transform), for three types of outcomes (Bernoulli, negative binomial, and Poisson).
Author: Emily Goren <emily.goren@gmail.com> and John Hughes <jphughesjr@gmail.com>
Maintainer: John Hughes <jphughesjr@gmail.com>

Diff between copCAR versions 2.0 dated 2017-02-16 and 2.0-1 dated 2017-02-21

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Permanent link

Package leaflet updated to version 1.1.0 with previous version 1.0.1 dated 2016-02-27

Title: Create Interactive Web Maps with the JavaScript 'Leaflet' Library
Description: Create and customize interactive maps using the 'Leaflet' JavaScript library and the 'htmlwidgets' package. These maps can be used directly from the R console, from 'RStudio', in Shiny apps and R Markdown documents.
Author: Joe Cheng [aut, cre], Bhaskar Karambelkar [aut], Yihui Xie [aut], Hadley Wickham [ctb], Kenton Russell [ctb], Kent Johnson [ctb], jQuery Foundation and contributors [ctb, cph] (jQuery library), Vladimir Agafonkin [ctb, cph] (Leaflet library), CloudMade [cph] (Leaflet library), Leaflet contributors [ctb] (Leaflet library), Leaflet Providers contributors [ctb, cph] (Leaflet Providers plugin), Brandon Copeland [ctb, cph] (leaflet-measure plugin), Jacob Toye [ctb, cph] (Leaflet.label plugin), Joerg Dietrich [ctb, cph] (Leaflet.Terminator plugin), Benjamin Becquet [ctb, cph] (Leaflet.MagnifyingGlass plugin), Norkart AS [ctb, cph] (Leaflet.MiniMap plugin), L. Voogdt [ctb, cph] (Leaflet.awesome-markers plugin), Daniel Montague [ctb, cph] (Leaflet.EasyButton plugin), Kartena AB [ctb, cph] (Proj4Leaflet plugin), Robert Kajic [ctb, cph] (leaflet-locationfilter plugin), Mapbox [ctb, cph] (leaflet-omnivore plugin), Michael Bostock [ctb, cph] (topojson), RStudio [cph]
Maintainer: Joe Cheng <joe@rstudio.com>

Diff between leaflet versions 1.0.1 dated 2016-02-27 and 1.1.0 dated 2017-02-21

 leaflet-1.0.1/leaflet/LICENSE                                                                                  |only
 leaflet-1.0.1/leaflet/tests/testit/test-normalize.R                                                            |only
 leaflet-1.1.0/leaflet/DESCRIPTION                                                                              |   55 
 leaflet-1.1.0/leaflet/LICENSE.note                                                                             |only
 leaflet-1.1.0/leaflet/MD5                                                                                      |  245 
 leaflet-1.1.0/leaflet/NAMESPACE                                                                                |   80 
 leaflet-1.1.0/leaflet/NEWS                                                                                     |   82 
 leaflet-1.1.0/leaflet/R/colors.R                                                                               |  138 
 leaflet-1.1.0/leaflet/R/controls.R                                                                             |    6 
 leaflet-1.1.0/leaflet/R/data.R                                                                                 |   33 
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 leaflet-1.1.0/leaflet/R/leaflet.R                                                                              |  157 
 leaflet-1.1.0/leaflet/R/legacy.R                                                                               |    4 
 leaflet-1.1.0/leaflet/R/legend.R                                                                               |    6 
 leaflet-1.1.0/leaflet/R/methods.R                                                                              |    9 
 leaflet-1.1.0/leaflet/R/normalize-SharedData.R                                                                 |only
 leaflet-1.1.0/leaflet/R/normalize-map.R                                                                        |only
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 leaflet-1.1.0/leaflet/R/package.R                                                                              |    4 
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 leaflet-1.1.0/leaflet/R/plugin-easybutton.R                                                                    |only
 leaflet-1.1.0/leaflet/R/plugin-graticule.R                                                                     |only
 leaflet-1.1.0/leaflet/R/plugin-measure.R                                                                       |only
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 leaflet-1.1.0/leaflet/R/plugin-omnivore.R                                                                      |   16 
 leaflet-1.1.0/leaflet/R/plugin-providers.R                                                                     |   18 
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 leaflet-1.1.0/leaflet/R/plugin-terminator.R                                                                    |only
 leaflet-1.1.0/leaflet/R/scalebar.R                                                                             |only
 leaflet-1.1.0/leaflet/R/selection.R                                                                            |only
 leaflet-1.1.0/leaflet/R/shiny.R                                                                                |    4 
 leaflet-1.1.0/leaflet/R/utils.R                                                                                |   78 
 leaflet-1.1.0/leaflet/README.md                                                                                |   23 
 leaflet-1.1.0/leaflet/data                                                                                     |only
 leaflet-1.1.0/leaflet/inst/htmlwidgets/leaflet.js                                                              | 3363 ++++++----
 leaflet-1.1.0/leaflet/inst/htmlwidgets/leaflet.yaml                                                            |   15 
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 leaflet-1.1.0/leaflet/inst/htmlwidgets/lib/leaflet/leaflet.css                                                 |    3 
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 leaflet-1.1.0/leaflet/man/addGraticule.Rd                                                                      |only
 leaflet-1.1.0/leaflet/man/addLayersControl.Rd                                                                  |   27 
 leaflet-1.1.0/leaflet/man/addLegend.Rd                                                                         |   14 
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 leaflet-1.1.0/leaflet/man/addProviderTiles.Rd                                                                  |   18 
 leaflet-1.1.0/leaflet/man/addRasterImage.Rd                                                                    |   14 
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 leaflet-1.1.0/leaflet/man/addTerminator.Rd                                                                     |only
 leaflet-1.1.0/leaflet/man/atlStorms2005.Rd                                                                     |only
 leaflet-1.1.0/leaflet/man/awesomeIconList.Rd                                                                   |only
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 leaflet-1.1.0/leaflet/man/breweries91.Rd                                                                       |only
 leaflet-1.1.0/leaflet/man/colorNumeric.Rd                                                                      |   29 
 leaflet-1.1.0/leaflet/man/deprecated.Rd                                                                        |    2 
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 leaflet-1.1.0/leaflet/man/derivePolygons.Rd                                                                    |only
 leaflet-1.1.0/leaflet/man/dispatch.Rd                                                                          |    9 
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 leaflet-1.1.0/leaflet/man/evalFormula.Rd                                                                       |only
 leaflet-1.1.0/leaflet/man/expandLimits.Rd                                                                      |only
 leaflet-1.1.0/leaflet/man/expandLimitsBbox.Rd                                                                  |only
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 leaflet-1.1.0/leaflet/man/gadmCHE.Rd                                                                           |only
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 leaflet-1.1.0/leaflet/man/iconList.Rd                                                                          |   11 
 leaflet-1.1.0/leaflet/man/icons.Rd                                                                             |   11 
 leaflet-1.1.0/leaflet/man/leaflet.Rd                                                                           |   78 
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 leaflet-1.1.0/leaflet/man/leafletProxy.Rd                                                                      |   39 
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 leaflet-1.1.0/leaflet/man/makeIcon.Rd                                                                          |   11 
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 leaflet-1.1.0/leaflet/man/map-methods.Rd                                                                       |    2 
 leaflet-1.1.0/leaflet/man/map-options.Rd                                                                       |   74 
 leaflet-1.1.0/leaflet/man/map-shiny.Rd                                                                         |    5 
 leaflet-1.1.0/leaflet/man/mapOptions.Rd                                                                        |   18 
 leaflet-1.1.0/leaflet/man/previewColors.Rd                                                                     |    2 
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 leaflet-1.1.0/leaflet/man/remove.Rd                                                                            |   13 
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 leaflet-1.1.0/leaflet/man/showGroup.Rd                                                                         |    2 
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 leaflet-1.1.0/leaflet/tests/testit/test-legend.R                                                               |    6 
 leaflet-1.1.0/leaflet/tests/testit/test-measure.R                                                              |only
 leaflet-1.1.0/leaflet/tests/testit/test-remote.R                                                               |   12 
 leaflet-1.1.0/leaflet/tests/testthat                                                                           |only
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More information about leaflet at CRAN
Permanent link

Package ApacheLogProcessor updated to version 0.2.0 with previous version 0.1.6 dated 2016-08-16

Title: Process the Apache Web Server Log Files
Description: Provides capabilities to process Apache HTTPD Log files.The main functionalities are to extract data from access and error log files to data frames.
Author: Diogo Silveira Mendonca
Maintainer: Diogo Silveira Mendonca <diogosmendonca@gmail.com>

Diff between ApacheLogProcessor versions 0.1.6 dated 2016-08-16 and 0.2.0 dated 2017-02-21

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Package rmdformats updated to version 0.3.1 with previous version 0.3 dated 2016-09-05

Title: HTML Output Formats and Templates for 'rmarkdown' Documents
Description: HTML formats and templates for 'rmarkdown' documents, with some extra features such as automatic table of contents, lightboxed figures, dynamic crosstab helper.
Author: Julien Barnier [aut, cre]
Maintainer: Julien Barnier <julien.barnier@ens-lyon.fr>

Diff between rmdformats versions 0.3 dated 2016-09-05 and 0.3.1 dated 2017-02-21

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Permanent link

Package eurostat updated to version 2.2.43 with previous version 2.2.1 dated 2016-09-14

Title: Tools for Eurostat Open Data
Description: Tools to download data from the Eurostat database <http://ec.europa.eu/eurostat> together with search and manipulation utilities.
Author: Leo Lahti [aut, cre], Przemyslaw Biecek [aut], Markus Kainu [aut], Janne Huovari [aut], Joona Lehtomaki [ctb], Francois Briatte [ctb], Oliver Reiter [ctb]
Maintainer: Leo Lahti <louhos@googlegroups.com>

Diff between eurostat versions 2.2.1 dated 2016-09-14 and 2.2.43 dated 2017-02-21

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More information about eurostat at CRAN
Permanent link

Package csv updated to version 0.4 with previous version 0.3 dated 2017-02-18

Title: Read and Write CSV Files with Selected Conventions
Description: Reads and writes CSV with selected conventions. Uses the same generic function for reading and writing to promote consistent formats.
Author: Tim Bergsma
Maintainer: Tim Bergsma <bergsmat@gmail.com>

Diff between csv versions 0.3 dated 2017-02-18 and 0.4 dated 2017-02-21

 DESCRIPTION             |    6 +++---
 MD5                     |    6 +++---
 R/csv.R                 |    4 ++--
 man/as.csv.character.Rd |    4 ++--
 4 files changed, 10 insertions(+), 10 deletions(-)

More information about csv at CRAN
Permanent link

Package RSNPset updated to version 0.5.2 with previous version 0.5 dated 2015-11-20

Title: Efficient Score Statistics for Genome-Wide SNP Set Analysis
Description: An implementation of the use of efficient score statistics in genome-wide SNP set analysis with complex traits. Three standard score statistics (Cox, binomial, and Gaussian) are provided, but the package is easily extensible to include others. Code implementing the inferential procedure is primarily written in C++ and utilizes parallelization of the analysis to reduce runtime. A supporting function offers simple computation of observed, permutation, and FWER and FDR adjusted p-values.
Author: Chanhee Yi, Alexander Sibley, and Kouros Owzar
Maintainer: Alexander Sibley <alexander.sibley@dm.duke.edu>

Diff between RSNPset versions 0.5 dated 2015-11-20 and 0.5.2 dated 2017-02-21

 DESCRIPTION                   |    8 ++++----
 MD5                           |   25 +++++++++++++------------
 NEWS                          |    9 +++++++++
 R/rsnpset.R                   |    6 ++----
 R/rsnpset.pvalue.R            |   23 ++++++++++-------------
 build/vignette.rds            |binary
 inst/doc/RSNPset.R            |    4 +++-
 inst/doc/RSNPset.Rnw          |    6 ++++--
 inst/doc/RSNPset.pdf          |binary
 man/RSNPset-package.Rd        |    4 ++--
 man/rsnpset.pvalue.Rd         |    6 +++---
 man/summary.RSNPset.pvalue.Rd |    2 +-
 src/init.c                    |only
 vignettes/RSNPset.Rnw         |    6 ++++--
 14 files changed, 55 insertions(+), 44 deletions(-)

More information about RSNPset at CRAN
Permanent link

Package miceadds updated to version 2.3-0 with previous version 2.2-0 dated 2017-01-11

Title: Some Additional Multiple Imputation Functions, Especially for 'mice'
Description: Contains some auxiliary functions for multiple imputation which complements existing functionality in R. In addition to some utility functions, main features include plausible value imputation, multilevel imputation functions, imputation using partial least squares (PLS) for high dimensional predictors, nested multiple imputation.
Author: Alexander Robitzsch [aut, cre], Simon Grund [aut], Thorsten Henke [aut]
Maintainer: Alexander Robitzsch <robitzsch@ipn.uni-kiel.de>

Diff between miceadds versions 2.2-0 dated 2017-01-11 and 2.3-0 dated 2017-02-21

 miceadds-2.2-0/miceadds/src/kernelpls_algorithm.h                            |only
 miceadds-2.3-0/miceadds/DESCRIPTION                                          |    8 
 miceadds-2.3-0/miceadds/MD5                                                  |  422 +++++-----
 miceadds-2.3-0/miceadds/R/ANSI_create_table.R                                |only
 miceadds-2.3-0/miceadds/R/ANSI_extend_table.R                                |only
 miceadds-2.3-0/miceadds/R/ANSI_fomat_latex_table.R                           |only
 miceadds-2.3-0/miceadds/R/ANSI_matrix_include_cols.R                         |only
 miceadds-2.3-0/miceadds/R/ANSI_matrix_include_rows.R                         |only
 miceadds-2.3-0/miceadds/R/GroupMean.R                                        |   22 
 miceadds-2.3-0/miceadds/R/GroupSD.R                                          |    8 
 miceadds-2.3-0/miceadds/R/GroupSum.R                                         |   18 
 miceadds-2.3-0/miceadds/R/List2nestedList.R                                  |   12 
 miceadds-2.3-0/miceadds/R/MIcombine.NestedImputationResultList.R             |    2 
 miceadds-2.3-0/miceadds/R/MIwaldtest.R                                       |    2 
 miceadds-2.3-0/miceadds/R/NMIcombine.R                                       |    2 
 miceadds-2.3-0/miceadds/R/NMIextract.R                                       |    2 
 miceadds-2.3-0/miceadds/R/NMIwaldtest.R                                      |    2 
 miceadds-2.3-0/miceadds/R/NestedImputationList.R                             |    2 
 miceadds-2.3-0/miceadds/R/RcppExports.R                                      |only
 miceadds-2.3-0/miceadds/R/Rhat1.R                                            |    2 
 miceadds-2.3-0/miceadds/R/Rsessinfo.R                                        |    2 
 miceadds-2.3-0/miceadds/R/VariableNames2String.R                             |    2 
 miceadds-2.3-0/miceadds/R/antilogit.R                                        |    4 
 miceadds-2.3-0/miceadds/R/complete.miceadds.R                                |    4 
 miceadds-2.3-0/miceadds/R/cor2fisher.R                                       |    6 
 miceadds-2.3-0/miceadds/R/cor_avoid_zero.R                                   |    4 
 miceadds-2.3-0/miceadds/R/covTest.R                                          |   20 
 miceadds-2.3-0/miceadds/R/create.designMatrices.waldtest.R                   |   14 
 miceadds-2.3-0/miceadds/R/crlem.R                                            |   18 
 miceadds-2.3-0/miceadds/R/crlrem.R                                           |only
 miceadds-2.3-0/miceadds/R/cxxfunction.copy.R                                 |   16 
 miceadds-2.3-0/miceadds/R/datalist2mids.R                                    |   50 -
 miceadds-2.3-0/miceadds/R/datlist_create.R                                   |   28 
 miceadds-2.3-0/miceadds/R/draw.pv.ctt.R                                      |   70 -
 miceadds-2.3-0/miceadds/R/fast.groupmean.R                                   |    4 
 miceadds-2.3-0/miceadds/R/fast.groupsum.R                                    |    4 
 miceadds-2.3-0/miceadds/R/file_path.R                                        |    8 
 miceadds-2.3-0/miceadds/R/filename_split.R                                   |   22 
 miceadds-2.3-0/miceadds/R/files_move.R                                       |   30 
 miceadds-2.3-0/miceadds/R/fisher2cor.R                                       |    6 
 miceadds-2.3-0/miceadds/R/glm.cluster.R                                      |   20 
 miceadds-2.3-0/miceadds/R/grep.vec.R                                         |    2 
 miceadds-2.3-0/miceadds/R/include.2l.predictors_v1.R                         |   26 
 miceadds-2.3-0/miceadds/R/index.dataframe.R                                  |    2 
 miceadds-2.3-0/miceadds/R/jomo2datlist.R                                     |    8 
 miceadds-2.3-0/miceadds/R/kernelpls.fit2.R                                   |   82 -
 miceadds-2.3-0/miceadds/R/library_install.R                                  |   10 
 miceadds-2.3-0/miceadds/R/lm.cluster.R                                       |   22 
 miceadds-2.3-0/miceadds/R/load.Rdata.R                                       |    2 
 miceadds-2.3-0/miceadds/R/load.data.R                                        |   14 
 miceadds-2.3-0/miceadds/R/ma.scale2.R                                        |   12 
 miceadds-2.3-0/miceadds/R/ma.wtd.aux.data.R                                  |   46 -
 miceadds-2.3-0/miceadds/R/ma.wtd.corNA.R                                     |    2 
 miceadds-2.3-0/miceadds/R/ma.wtd.covNA.R                                     |    2 
 miceadds-2.3-0/miceadds/R/ma.wtd.curtosisNA.R                                |    2 
 miceadds-2.3-0/miceadds/R/ma.wtd.quantileNA.R                                |    2 
 miceadds-2.3-0/miceadds/R/ma.wtd.skewnessNA.R                                |    2 
 miceadds-2.3-0/miceadds/R/max0.R                                             |    6 
 miceadds-2.3-0/miceadds/R/mean0.R                                            |    6 
 miceadds-2.3-0/miceadds/R/mi.anova.R                                         |    2 
 miceadds-2.3-0/miceadds/R/mi_dstat.R                                         |   26 
 miceadds-2.3-0/miceadds/R/mice.1chain.R                                      |   80 -
 miceadds-2.3-0/miceadds/R/mice.impute.2l.binary.R                            |    4 
 miceadds-2.3-0/miceadds/R/mice.impute.2l.contextual.norm.R                   |   32 
 miceadds-2.3-0/miceadds/R/mice.impute.2l.contextual.pmm.R                    |    4 
 miceadds-2.3-0/miceadds/R/mice.impute.2l.continuous.R                        |    4 
 miceadds-2.3-0/miceadds/R/mice.impute.2l.eap.R                               |    2 
 miceadds-2.3-0/miceadds/R/mice.impute.2l.groupmean.R                         |   18 
 miceadds-2.3-0/miceadds/R/mice.impute.2l.groupmean.elim.R                    |   18 
 miceadds-2.3-0/miceadds/R/mice.impute.2l.latentgroupmean.ML.R                |   34 
 miceadds-2.3-0/miceadds/R/mice.impute.2l.lmer.R                              |   52 -
 miceadds-2.3-0/miceadds/R/mice.impute.2l.plausible.values.R                  |    4 
 miceadds-2.3-0/miceadds/R/mice.impute.2l.pls.R                               |    4 
 miceadds-2.3-0/miceadds/R/mice.impute.2l.pls2.R                              |    4 
 miceadds-2.3-0/miceadds/R/mice.impute.2l.pmm.R                               |    4 
 miceadds-2.3-0/miceadds/R/mice.impute.2lonly.function.R                      |   34 
 miceadds-2.3-0/miceadds/R/mice.impute.2lonly.norm2.R                         |    2 
 miceadds-2.3-0/miceadds/R/mice.impute.2lonly.pmm2.R                          |   10 
 miceadds-2.3-0/miceadds/R/mice.impute.bygroup.R                              |   30 
 miceadds-2.3-0/miceadds/R/mice.impute.eap.R                                  |    6 
 miceadds-2.3-0/miceadds/R/mice.impute.grouped.R                              |   16 
 miceadds-2.3-0/miceadds/R/mice.impute.hotDeck.R                              |   32 
 miceadds-2.3-0/miceadds/R/mice.impute.norm3.R                                |    2 
 miceadds-2.3-0/miceadds/R/mice.impute.plausible.values.R                     |    8 
 miceadds-2.3-0/miceadds/R/mice.impute.pls.R                                  |   24 
 miceadds-2.3-0/miceadds/R/mice.impute.pmm3.R                                 |    2 
 miceadds-2.3-0/miceadds/R/mice.impute.pmm6.R                                 |    8 
 miceadds-2.3-0/miceadds/R/mice.impute.weighted.norm.R                        |    2 
 miceadds-2.3-0/miceadds/R/mice.nmi.R                                         |    2 
 miceadds-2.3-0/miceadds/R/mice_imputation_create_interactions.R              |   19 
 miceadds-2.3-0/miceadds/R/mice_imputation_extract_list_arguments.R           |    8 
 miceadds-2.3-0/miceadds/R/mice_imputation_get_states.R                       |   14 
 miceadds-2.3-0/miceadds/R/mice_imputation_include_cluster_effect.R           |   20 
 miceadds-2.3-0/miceadds/R/mice_imputation_multilevel_include_2l_predictors.R |   28 
 miceadds-2.3-0/miceadds/R/mice_imputation_pls_correlation_criteria.R         |    6 
 miceadds-2.3-0/miceadds/R/mice_imputation_pls_do_impute.R                    |   12 
 miceadds-2.3-0/miceadds/R/mice_imputation_pls_estimate_pls_regression.R      |   22 
 miceadds-2.3-0/miceadds/R/mice_imputation_pls_helper.R                       |   32 
 miceadds-2.3-0/miceadds/R/mice_imputation_pls_include_interactions.R         |   56 -
 miceadds-2.3-0/miceadds/R/mice_imputation_pls_include_quadratics.R           |   24 
 miceadds-2.3-0/miceadds/R/mice_imputation_pls_largest_correlations.R         |   40 
 miceadds-2.3-0/miceadds/R/mice_imputation_pls_pca_reduction.R                |   16 
 miceadds-2.3-0/miceadds/R/mice_imputation_pls_print_progress1.R              |    2 
 miceadds-2.3-0/miceadds/R/mice_imputation_pls_print_progress2.R              |    2 
 miceadds-2.3-0/miceadds/R/mice_imputation_pls_scale_x.R                      |    2 
 miceadds-2.3-0/miceadds/R/mice_imputation_prepare_2l_functions.R             |   12 
 miceadds-2.3-0/miceadds/R/mice_imputation_weighted_norm_draw.R               |    2 
 miceadds-2.3-0/miceadds/R/mice_multilevel_add_groupmeans.R                   |    8 
 miceadds-2.3-0/miceadds/R/mice_multilevel_create_formula.R                   |    6 
 miceadds-2.3-0/miceadds/R/mice_multilevel_doCall_suppressWarnings.R          |   10 
 miceadds-2.3-0/miceadds/R/mice_multilevel_draw_binomial.R                    |    6 
 miceadds-2.3-0/miceadds/R/mice_multilevel_draw_rnorm1.R                      |   10 
 miceadds-2.3-0/miceadds/R/mice_multilevel_imputation_blme_args.R             |    8 
 miceadds-2.3-0/miceadds/R/mice_multilevel_imputation_draw_random_effects.R   |   16 
 miceadds-2.3-0/miceadds/R/mice_multilevel_imputation_draw_residuals.R        |    6 
 miceadds-2.3-0/miceadds/R/mice_multilevel_imputation_pmm5.R                  |   34 
 miceadds-2.3-0/miceadds/R/mice_multilevel_impute_groupmean.R                 |   18 
 miceadds-2.3-0/miceadds/R/micombine.chisquare.R                              |    4 
 miceadds-2.3-0/miceadds/R/mids2mlwin.R                                       |    6 
 miceadds-2.3-0/miceadds/R/min0.R                                             |    6 
 miceadds-2.3-0/miceadds/R/nested.datlist2datlist.R                           |    2 
 miceadds-2.3-0/miceadds/R/nested.datlist_create.R                            |    2 
 miceadds-2.3-0/miceadds/R/nestedList2List.R                                  |   12 
 miceadds-2.3-0/miceadds/R/nesteddatlist2datlist.R                            |    2 
 miceadds-2.3-0/miceadds/R/norm.draw3.R                                       |    2 
 miceadds-2.3-0/miceadds/R/normalize_vector.R                                 |    6 
 miceadds-2.3-0/miceadds/R/pca.covridge.R                                     |    8 
 miceadds-2.3-0/miceadds/R/pool.mi.R                                          |   64 -
 miceadds-2.3-0/miceadds/R/pool.mids.nmi.R                                    |   10 
 miceadds-2.3-0/miceadds/R/pool.nmi.scalar.helper.R                           |    8 
 miceadds-2.3-0/miceadds/R/predict.kernelfit.pls2.R                           |    2 
 miceadds-2.3-0/miceadds/R/prop_miss.R                                        |    8 
 miceadds-2.3-0/miceadds/R/quantile0.R                                        |    2 
 miceadds-2.3-0/miceadds/R/read.fwf2.R                                        |    4 
 miceadds-2.3-0/miceadds/R/remove.lindep_miceadds.R                           |    4 
 miceadds-2.3-0/miceadds/R/save.data.R                                        |   28 
 miceadds-2.3-0/miceadds/R/scale_datlist.R                                    |   42 
 miceadds-2.3-0/miceadds/R/scan0.R                                            |   10 
 miceadds-2.3-0/miceadds/R/sd0.R                                              |    4 
 miceadds-2.3-0/miceadds/R/source.all.R                                       |    6 
 miceadds-2.3-0/miceadds/R/stats0.R                                           |    8 
 miceadds-2.3-0/miceadds/R/str_C.expand.grid.R                                |    2 
 miceadds-2.3-0/miceadds/R/summary.mipo.nmi.R                                 |    2 
 miceadds-2.3-0/miceadds/R/summary.mira.nmi.R                                 |    2 
 miceadds-2.3-0/miceadds/R/sumpreserving.rounding.R                           |    2 
 miceadds-2.3-0/miceadds/R/systime.R                                          |    2 
 miceadds-2.3-0/miceadds/R/var0.R                                             |    4 
 miceadds-2.3-0/miceadds/R/vector2matrix.R                                    |    2 
 miceadds-2.3-0/miceadds/R/visitSequence.determine.R                          |    2 
 miceadds-2.3-0/miceadds/R/with.NestedImputationList.R                        |    2 
 miceadds-2.3-0/miceadds/R/with.datlist.R                                     |    2 
 miceadds-2.3-0/miceadds/R/with.nested.datlist.R                              |    2 
 miceadds-2.3-0/miceadds/R/withPool.R                                         |    2 
 miceadds-2.3-0/miceadds/R/within.NestedImputationList.R                      |    2 
 miceadds-2.3-0/miceadds/R/within.datlist.R                                   |    2 
 miceadds-2.3-0/miceadds/R/within.imputationList.R                            |    2 
 miceadds-2.3-0/miceadds/R/within.nested.datlist.R                            |    2 
 miceadds-2.3-0/miceadds/R/write.datlist.R                                    |    8 
 miceadds-2.3-0/miceadds/R/write.mice.imputation.R                            |   12 
 miceadds-2.3-0/miceadds/R/write.pspp.R                                       |    2 
 miceadds-2.3-0/miceadds/R/zzz.R                                              |    2 
 miceadds-2.3-0/miceadds/inst/NEWS                                            |   17 
 miceadds-2.3-0/miceadds/man/NMIwaldtest.Rd                                   |   30 
 miceadds-2.3-0/miceadds/man/NestedImputationList.Rd                          |    6 
 miceadds-2.3-0/miceadds/man/Rsessinfo.Rd                                     |    2 
 miceadds-2.3-0/miceadds/man/VariableNames2String.Rd                          |    2 
 miceadds-2.3-0/miceadds/man/complete.miceadds.Rd                             |   12 
 miceadds-2.3-0/miceadds/man/data.graham.Rd                                   |    2 
 miceadds-2.3-0/miceadds/man/datalist2mids.Rd                                 |    2 
 miceadds-2.3-0/miceadds/man/datlist_create.Rd                                |   32 
 miceadds-2.3-0/miceadds/man/draw.pv.ctt.Rd                                   |    6 
 miceadds-2.3-0/miceadds/man/jomo2datlist.Rd                                  |    2 
 miceadds-2.3-0/miceadds/man/kernelpls.fit2.Rd                                |    4 
 miceadds-2.3-0/miceadds/man/lm.cluster.Rd                                    |   10 
 miceadds-2.3-0/miceadds/man/load.Rdata.Rd                                    |    2 
 miceadds-2.3-0/miceadds/man/load.data.Rd                                     |    2 
 miceadds-2.3-0/miceadds/man/ma.scale2.Rd                                     |    6 
 miceadds-2.3-0/miceadds/man/ma.wtd.statNA.Rd                                 |   10 
 miceadds-2.3-0/miceadds/man/mi.anova.Rd                                      |    6 
 miceadds-2.3-0/miceadds/man/mi_dstat.Rd                                      |    2 
 miceadds-2.3-0/miceadds/man/mice.1chain.Rd                                   |    4 
 miceadds-2.3-0/miceadds/man/mice.impute.2lonly.function.Rd                   |  268 +++---
 miceadds-2.3-0/miceadds/man/mice.impute.bygroup.Rd                           |    2 
 miceadds-2.3-0/miceadds/man/mice.impute.eap.Rd                               |    4 
 miceadds-2.3-0/miceadds/man/mice.impute.plausible.values.Rd                  |    2 
 miceadds-2.3-0/miceadds/man/mice.impute.pls.Rd                               |    2 
 miceadds-2.3-0/miceadds/man/mice.impute.tricube.pmm.Rd                       |    2 
 miceadds-2.3-0/miceadds/man/mice.nmi.Rd                                      |    6 
 miceadds-2.3-0/miceadds/man/miceadds-defunct.Rd                              |  118 +-
 miceadds-2.3-0/miceadds/man/miceadds-package.Rd                              |   10 
 miceadds-2.3-0/miceadds/man/micombine.F.Rd                                   |    9 
 miceadds-2.3-0/miceadds/man/micombine.chisquare.Rd                           |   11 
 miceadds-2.3-0/miceadds/man/micombine.cor.Rd                                 |   16 
 miceadds-2.3-0/miceadds/man/mids2datlist.Rd                                  |   18 
 miceadds-2.3-0/miceadds/man/mids2mlwin.Rd                                    |  118 +-
 miceadds-2.3-0/miceadds/man/nestedList2List.Rd                               |    6 
 miceadds-2.3-0/miceadds/man/pca.covridge.Rd                                  |    2 
 miceadds-2.3-0/miceadds/man/pool.mids.nmi.Rd                                 |   22 
 miceadds-2.3-0/miceadds/man/pool_mi.Rd                                       |   10 
 miceadds-2.3-0/miceadds/man/round2.Rd                                        |   10 
 miceadds-2.3-0/miceadds/man/save.data.Rd                                     |    6 
 miceadds-2.3-0/miceadds/man/scale_datlist.Rd                                 |   48 -
 miceadds-2.3-0/miceadds/man/scan.vector.Rd                                   |    4 
 miceadds-2.3-0/miceadds/man/subset_datlist.Rd                                |   32 
 miceadds-2.3-0/miceadds/man/sumpreserving.rounding.Rd                        |    8 
 miceadds-2.3-0/miceadds/man/systime.Rd                                       |    2 
 miceadds-2.3-0/miceadds/man/tw.imputation.Rd                                 |    4 
 miceadds-2.3-0/miceadds/man/visitSequence.determine.Rd                       |    2 
 miceadds-2.3-0/miceadds/man/with.miceadds.Rd                                 |   16 
 miceadds-2.3-0/miceadds/man/write.fwf2.Rd                                    |    2 
 miceadds-2.3-0/miceadds/man/write.mice.imputation.Rd                         |    2 
 miceadds-2.3-0/miceadds/src/RcppExports.cpp                                  |only
 miceadds-2.3-0/miceadds/src/create_interactions_c.cpp                        |   44 -
 miceadds-2.3-0/miceadds/src/init.c                                           |only
 miceadds-2.3-0/miceadds/src/kernelpls_1dim_c.cpp                             |  199 +++-
 miceadds-2.3-0/miceadds/src/ma_pmm6_csource.cpp                              |   61 -
 miceadds-2.3-0/miceadds/src/ma_scale.cpp                                     |   60 -
 217 files changed, 1826 insertions(+), 1760 deletions(-)

More information about miceadds at CRAN
Permanent link

Package ipft updated to version 0.2.2 with previous version 0.1.03 dated 2017-02-15

Title: Indoor Positioning Fingerprinting Toolset
Description: Algorithms and utility functions for indoor positioning using fingerprinting techniques. These functions are designed for manipulation of RSSI (Received Signal Strength Intensity) data sets, estimation of positions,comparison of the performance of different models, and graphical visualization of data. Machine learning algorithms and methods such as k-nearest neighbors or probabilistic fingerprinting are implemented in this package to perform analysis and estimations over RSSI data sets.
Author: Emilio Sansano
Maintainer: Emilio Sansano <esansano@uji.es>

Diff between ipft versions 0.1.03 dated 2017-02-15 and 0.2.2 dated 2017-02-21

 DESCRIPTION         |   14 ++++++-------
 MD5                 |   33 ++++++++++++++++---------------
 R/ipft.R            |   55 ++++++++++++++++++++++++++--------------------------
 man/ipfCluster.Rd   |    6 ++---
 man/ipfDist.Rd      |    7 ++----
 man/ipfEstimate.Rd  |    1 
 man/ipfGroup.Rd     |    7 ++----
 man/ipfKnn.Rd       |   11 ++++------
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Package fifer updated to version 1.1 with previous version 1.0 dated 2014-04-02

Title: A Biostatisticians Toolbox for Various Activities, Including Plotting, Data Cleanup, and Data Analysis
Description: Functions and datasets that can be used for data cleanup (e.g., functions for eliminating all but a few columns from a dataset, selecting a range of columns, quickly editing column names), plotting/presenting data (prism-like reproductions, spearman plots for ordinal data, making colored tables, plotting interactions with quantitative variables), and analyses common to biostatistics (e.g., random forest, multiple comparisons with chi square tests). See the package vignette for a brief introduction to many of the main functions.
Author: Dustin Fife <fife.dustin@gmail.com>
Maintainer: Dustin Fife <fife.dustin@gmail.com>

Diff between fifer versions 1.0 dated 2014-04-02 and 1.1 dated 2017-02-21

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Package DSsim updated to version 1.1.1 with previous version 1.1.0 dated 2017-01-16

Title: Distance Sampling Simulations
Description: Performs distance sampling simulations.It repeatedly generates instances of a user defined population within a given survey region, generates realisations of a survey design (currently these must be generated using Distance software in advance <http://distancesampling.org/>) and simulates the detection process. The data are then analysed so that the results can be compared for accuracy and precision across all replications. This will allow users to select survey designs which will give them the best accuracy and precision given their expectations about population distribution. Any uncertainty in population distribution or population parameters can be included by running the different survey designs for a number of different population descriptions. An example simulation can be found in the help file for make.simulation.
Author: Laura Marshall <lhm@st-and.ac.uk>
Maintainer: Laura Marshall <lhm@st-and.ac.uk>

Diff between DSsim versions 1.1.0 dated 2017-01-16 and 1.1.1 dated 2017-02-21

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Package stremo (with last version 0.2) was removed from CRAN

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

2011-09-29 0.2
2011-09-07 0.1

Permanent link
New package rnaturalearthdata with initial version 0.1.0
Package: rnaturalearthdata
Title: World Vector Map Data from Natural Earth Used in 'rnaturalearth'
Version: 0.1.0
Authors@R: person("Andy", "South", , "southandy@gmail.com", role = c("aut", "cre"))
Description: Vector map data from <http://www.naturalearthdata.com/>. Access functions are provided in the accompanying package 'rnaturalearth'.
License: CC0
LazyData: true
LazyDataCompression: xz
URL: https://github.com/ropenscilabs/rnaturalearthdata
BugReports: https://github.com/ropenscilabs/rnaturalearthdata/issues
Depends: R (>= 3.1.1)
Imports: sp (>= 1.0.15)
Suggests: knitr (>= 1.12.3), testthat (>= 0.9.1)
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-02-21 13:45:59 UTC; andy
Author: Andy South [aut, cre]
Maintainer: Andy South <southandy@gmail.com>
Repository: CRAN
Date/Publication: 2017-02-21 15:17:10

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New package mle.tools with initial version 1.0.0
Package: mle.tools
Type: Package
Title: Expected/Observed Fisher Information and Bias-Corrected Maximum Likelihood Estimate(s)
Version: 1.0.0
License: GPL (>= 2)
Date: 2017-02-21
Author: Josmar Mazucheli
Maintainer: Josmar Mazucheli <jmazucheli@gmail.com>
Description: Calculates the expected/observed Fisher information and the bias-corrected maximum likelihood estimate(s) via Cox-Snell Methodology.
Depends: R (>= 3.0.2)
Imports: stats
Suggests: fitdistrplus (>= 1.0-6)
RoxygenNote: 5.0.1
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2017-02-21 13:06:25 UTC; josmar
Repository: CRAN
Date/Publication: 2017-02-21 15:17:08

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Package KernelKnn updated to version 1.0.5 with previous version 1.0.4 dated 2017-02-10

Title: Kernel k Nearest Neighbors
Description: Extends the simple k-nearest neighbors algorithm by incorporating numerous kernel functions and a variety of distance metrics. The package takes advantage of 'RcppArmadillo' to speed up the calculation of distances between observations.
Author: Lampros Mouselimis <mouselimislampros@gmail.com>
Maintainer: Lampros Mouselimis <mouselimislampros@gmail.com>

Diff between KernelKnn versions 1.0.4 dated 2017-02-10 and 1.0.5 dated 2017-02-21

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 MD5                                                           |   15 +--
 NAMESPACE                                                     |    3 
 NEWS.md                                                       |    5 +
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Package asnipe updated to version 1.1.3 with previous version 1.1.2 dated 2017-01-21

Title: Animal Social Network Inference and Permutations for Ecologists
Description: Implements several tools that are used in animal social network analysis. In particular, this package provides the tools to infer groups and generate networks from observation data, perform permutation tests on the data, calculate lagged association rates, and performed multiple regression analysis on social network data.
Author: Damien R. Farine <dfarine@orn.mpg.de>
Maintainer: Damien R. Farine <dfarine@orn.mpg.de>

Diff between asnipe versions 1.1.2 dated 2017-01-21 and 1.1.3 dated 2017-02-21

 DESCRIPTION                 |    8 ++++----
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New package ggimage with initial version 0.0.1
Package: ggimage
Title: Use Image in 'ggplot2'
Version: 0.0.1
Authors@R: person("Guangchuang", "Yu", email = "guangchuangyu@gmail.com", role = c("aut", "cre"))
Description: Supports aesthetic mapping of image files to be visualized in 'ggplot2' graphic system. files as a scatterplot.
Depends: R (>= 3.3.0)
Imports: EBImage, ggplot2, grid, methods
Suggests: knitr, prettydoc
VignetteBuilder: knitr
ByteCompile: true
License: Artistic-2.0
URL: https://github.com/GuangchuangYu/ggimage
BugReports: https://github.com/GuangchuangYu/ggimage/issues
Encoding: UTF-8
LazyData: true
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2017-02-21 12:28:42 UTC; guangchuangyu
Author: Guangchuang Yu [aut, cre]
Maintainer: Guangchuang Yu <guangchuangyu@gmail.com>
Repository: CRAN
Date/Publication: 2017-02-21 14:18:24

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New package GraphKit with initial version 0.4
Package: GraphKit
Type: Package
Title: Estimating Structural Invariants of Graphical Models
Version: 0.4
Date: 2017-2-20
Author: Manbir Gulati, Junwei Lu, and Han Liu
Maintainer: Manbir Gulati <manbirgulati@gmail.com>
Description: Efficient methods for constructing confidence intervals of monotone graph invariants, as well as testing for monotone graph properties. Many packages are available to estimate precision matrices, this package serves as a tool to extract structural properties from their induced graphs. By iteratively bootstrapping on only the relevant edge set, we are able to obtain the optimal interval size.
License: GPL (>= 2)
Depends: R (>= 2.10)
Imports: Rcpp (>= 0.12.8)
LinkingTo: Rcpp, RcppArmadillo
RoxygenNote: 6.0.1
NeedsCompilation: yes
Packaged: 2017-02-21 10:39:19 UTC; ManiG
Repository: CRAN
Date/Publication: 2017-02-21 12:12:54

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New package woeBinning with initial version 0.1.1
Package: woeBinning
Type: Package
Title: Supervised WOE Binning of Numeric Variables and Factors
Version: 0.1.1
Date: 2017-02-21
Author: Thilo Eichenberg
Maintainer: Thilo Eichenberg <te.r@gmx.net>
Description: Implements an automated fine and coarse classing to bin numeric variables and factors with respect to a dichotomous target variable. Numeric variables are binned by merging a specified initial number of bins with similar frequencies. As a start sparse bins are merged with adjacent ones. Afterwards nearby bins with most similar WOE values are joined step by step until the information value (IV) decreases more than specified by a percentage value. Factors are binned by merging factor levels. At the beginning sparse levels are merged to a 'miscellaneous' level. Afterwards bins with most similar WOE values are joined step by step until the IV decreases more than specified by a percentage value. The package can be used with single variables or an entire data frame. It provides flexible tools for exploring different binning solutions and for deploying them to (new) data.
License: GPL (>= 2)
LazyData: TRUE
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2017-02-21 09:41:26 UTC; Thilo
Repository: CRAN
Date/Publication: 2017-02-21 11:41:15

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Package rsdmx updated to version 0.5-8 with previous version 0.5-7 dated 2017-01-24

Title: Tools for Reading SDMX Data and Metadata
Description: Set of classes and methods to read data and metadata documents exchanged through the Statistical Data and Metadata Exchange (SDMX) framework, currently focusing on the SDMX XML standard format (SDMX-ML).
Author: Emmanuel Blondel [aut, cre], Matthieu Stigler [ctb], Eric Persson [ctb]
Maintainer: Emmanuel Blondel <emmanuel.blondel1@gmail.com>

Diff between rsdmx versions 0.5-7 dated 2017-01-24 and 0.5-8 dated 2017-02-21

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Package Peptides updated to version 1.2.1 with previous version 1.1.2 dated 2017-01-16

Title: Calculate Indices and Theoretical Properties of Protein Sequences
Description: Calculate physicochemical properties and indices from amino-acid sequences of peptides and proteins. Include also the option to read and plot output files from the 'GROMACS' molecular dynamics package.
Author: Daniel Osorio, Paola Rondon-Villarreal and Rodrigo Torres.
Maintainer: Daniel Osorio <dcosorioh@unal.edu.co>

Diff between Peptides versions 1.1.2 dated 2017-01-16 and 1.2.1 dated 2017-02-21

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 Peptides-1.2.1/Peptides/NEWS                      |    4 
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 Peptides-1.2.1/Peptides/man/plot.xvg.Rd           |   48 ++---
 Peptides-1.2.1/Peptides/man/read.xvg.Rd           |   34 +--
 64 files changed, 1048 insertions(+), 541 deletions(-)

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Package spdep updated to version 0.6-10 with previous version 0.6-9 dated 2017-01-09

Title: Spatial Dependence: Weighting Schemes, Statistics and Models
Description: A collection of functions to create spatial weights matrix objects from polygon contiguities, from point patterns by distance and tessellations, for summarizing these objects, and for permitting their use in spatial data analysis, including regional aggregation by minimum spanning tree; a collection of tests for spatial autocorrelation, including global Moran's I, APLE, Geary's C, Hubert/Mantel general cross product statistic, Empirical Bayes estimates and Assunção/Reis Index, Getis/Ord G and multicoloured join count statistics, local Moran's I and Getis/Ord G, saddlepoint approximations and exact tests for global and local Moran's I; and functions for estimating spatial simultaneous autoregressive (SAR) lag and error models, impact measures for lag models, weighted and unweighted SAR and CAR spatial regression models, semi-parametric and Moran eigenvector spatial filtering, GM SAR error models, and generalized spatial two stage least squares models.
Author: Roger Bivand [cre, aut], Micah Altman [ctb], Luc Anselin [ctb], Renato Assunção [ctb], Olaf Berke [ctb], Andrew Bernat [ctb], Guillaume Blanchet [ctb], Eric Blankmeyer [ctb], Marilia Carvalho [ctb], Bjarke Christensen [ctb], Yongwan Chun [ctb], Carsten Dormann [ctb], Stéphane Dray [ctb], Virgilio Gómez-Rubio [ctb], Martin Gubri [ctb], Rein Halbersma [ctb], Elias Krainski [ctb], Pierre Legendre [ctb], Nicholas Lewin-Koh [ctb], Hongfei Li [ctb], Jielai Ma [ctb], Abhirup Mallik [ctb, trl], Giovanni Millo [ctb], Werner Mueller [ctb], Hisaji Ono [ctb], Pedro Peres-Neto [ctb], Gianfranco Piras [ctb], Markus Reder [ctb], Michael Tiefelsdorf [ctb], Danlin Yu [ctb]
Maintainer: Roger Bivand <Roger.Bivand@nhh.no>

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New package SPAtest with initial version 1.0.0
Package: SPAtest
Type: Package
Title: Score Test Based on Saddlepoint Approximation
Version: 1.0.0
Date: 2017-02-19
Author: Rounak Dey, Seunggeun Lee
Maintainer: Rounak Dey <deyrnk@umich.edu>
Description: Performs score test using saddlepoint approximation to estimate the null distribution.
Depends: R (>= 3.0.0)
License: GPL (>= 2)
Repository: CRAN
NeedsCompilation: no
Packaged: 2017-02-20 02:02:35 UTC; Rounak
Date/Publication: 2017-02-21 08:02:38

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Package smapr updated to version 0.1.0 with previous version 0.0.1 dated 2016-10-05

Title: Acquisition and Processing of NASA Soil Moisture Active-Passive (SMAP) Data
Description: Facilitates programmatic access to NASA Soil Moisture Active Passive (SMAP) data with R. It includes functions to search for, acquire, and extract SMAP data.
Author: Maxwell Joseph [aut, cre], Matthew Oakley [aut], Zachary Schira [aut]
Maintainer: Maxwell Joseph <maxwell.b.joseph@colorado.edu>

Diff between smapr versions 0.0.1 dated 2016-10-05 and 0.1.0 dated 2017-02-21

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New package RGBM with initial version 1.0-4
Package: RGBM
Type: Package
Title: LS-TreeBoost and LAD-TreeBoost for Gene Regulatory Network Reconstruction
Version: 1.0-4
Date: 2017-02-21
Author: Raghvendra Mall [aut, cre], Khalid Kunji [aut], Melissa O'Neill [ctb]
Authors@R: c(person(given = "Raghvendra",family = "Mall",role = c("aut","cre"), email = "rmall@hbku.edu.qa"), person(given="Khalid",family="Kunji",role="aut",email = "kkunji@hbku.edu.qa"), person(given="Melissa",family="O'Neill",role="ctb"))
Maintainer: Raghvendra Mall <rmall@hbku.edu.qa>
Repository: CRAN
Description: Provides an implementation of Regularized LS-TreeBoost & LAD-TreeBoost algorithm for Regulatory Network inference from any type of expression data (Microarray/RNA-seq etc).
License: GPL (>= 3)
LazyLoad: yes
Depends: foreach, plyr, doParallel
NeedsCompilation: yes
Packaged: 2017-02-21 06:58:57 UTC; rmall
Date/Publication: 2017-02-21 08:43:21

More information about RGBM at CRAN
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Package replyr updated to version 0.2.3 with previous version 0.2.1 dated 2017-01-21

Title: Fluid Use of 'dplyr'
Description: Methods to get a grip on working with remote 'tbl' sources ('SQL' databases, 'sparklyr' 'Spark' 2.0.0 and above) through 'dplyr'. Adds convenience functions to make such tasks more like working with an in-memory 'data.frame'. Results do depend on which 'dplyr' data service you use.
Author: John Mount, Nina Zumel
Maintainer: John Mount <jmount@win-vector.com>

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Package RcmdrPlugin.EZR updated to version 1.35 with previous version 1.34 dated 2017-01-18

Title: R Commander Plug-in for the EZR (Easy R) Package
Description: EZR (Easy R) adds a variety of statistical functions, including survival analyses, ROC analyses, metaanalyses, sample size calculation, and so on, to the R commander. EZR enables point-and-click easy access to statistical functions, especially for medical statistics. EZR is platform-independent and runs on Windows, Mac OS X, and UNIX. Its complete manual is available only in Japanese (Chugai Igakusha, ISBN: 978-4-498-10901-8 or Nankodo, ISBN: 978-4-524-26158-1), but an report that introduced the investigation of EZR was published in Bone Marrow Transplantation (Nature Publishing Group) as an Open article. This report can be used as a simple manual. It can be freely downloaded from the journal website as shown below.
Author: Yoshinobu Kanda
Maintainer: Yoshinobu Kanda <ycanda-tky@umin.ac.jp>

Diff between RcmdrPlugin.EZR versions 1.34 dated 2017-01-18 and 1.35 dated 2017-02-21

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Package oem updated to version 2.0.4 with previous version 2.0.3 dated 2016-10-26

Title: Orthogonalizing EM
Description: Solves penalized least squares problems using the orthogonalizing EM algorithm of Xiong et al. (2016) <doi:10.1080/00401706.2015.1054436>. The main fitting function is oem() and the functions cv.oem() and xval.oem() are for cross validation, the latter being an accelerated cross validation function for linear models. The big.oem() function allows for out of memory fitting.
Author: Bin Dai [aut], Jared Huling [aut, cre], Yixuan Qiu [ctb]
Maintainer: Jared Huling <jaredhuling@gmail.com>

Diff between oem versions 2.0.3 dated 2016-10-26 and 2.0.4 dated 2017-02-21

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New package nonpar with initial version 1.0.0
Package: nonpar
Type: Package
Title: A Collection of Nonparametric Hypothesis Tests
Version: 1.0.0
Author: D. Lukke Sweet
Maintainer: D. Lukke Sweet <dls229@zips.uakron.edu>
Depends: R (>= 3.3.1)
Imports: methods
Description: Contains the following 5 nonparametric hypothesis tests: The Sign Test, The 2 Sample Median Test, Miller's Jackknife Procedure, Cochran's Q Test, & The Stuart-Maxwell Test.
License: GPL-3
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2017-02-21 00:53:34 UTC; Lukke
Repository: CRAN
Date/Publication: 2017-02-21 08:02:43

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Package NLP updated to version 0.1-10 with previous version 0.1-9 dated 2016-02-18

Title: Natural Language Processing Infrastructure
Description: Basic classes and methods for Natural Language Processing.
Author: Kurt Hornik [aut, cre]
Maintainer: Kurt Hornik <Kurt.Hornik@R-project.org>

Diff between NLP versions 0.1-9 dated 2016-02-18 and 0.1-10 dated 2017-02-21

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Package movMF updated to version 0.2-1 with previous version 0.2-0 dated 2014-07-03

Title: Mixtures of von Mises-Fisher Distributions
Description: Fit and simulate mixtures of von Mises-Fisher distributions.
Author: Kurt Hornik [aut, cre], Bettina Grün [aut]
Maintainer: Kurt Hornik <Kurt.Hornik@R-project.org>

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Package KraljicMatrix updated to version 0.1.1 with previous version 0.1.0 dated 2016-12-15

Title: A Quantified Implementation of the Kraljic Matrix
Description: Implements a quantified approach to the Kraljic Matrix (Kraljic, 1983, <https://hbr.org/1983/09/purchasing-must-become-supply-management>) for strategically analyzing a firm’s purchasing portfolio. It combines multi-objective decision analysis to measure purchasing characteristics and uses this information to place products and services within the Kraljic Matrix.
Author: Bradley Boehmke [aut, cre], Robert Montgomery [ctb], Ogden Jeffrey [ctb], Jason Freels [ctb]
Maintainer: Bradley Boehmke <bradleyboehmke@gmail.com>

Diff between KraljicMatrix versions 0.1.0 dated 2016-12-15 and 0.1.1 dated 2017-02-21

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Package jmv updated to version 0.7.0.3 with previous version 0.7.0 dated 2017-02-13

Title: The 'jamovi' Analyses
Description: 'jamovi' is a rich graphical statistics program providing many common statistical tests such as t-tests, ANOVAs, correlation matrices, proportion tests, contingency tables, etc (see <https://www.jamovi.org> for more information). This package makes all of the basic 'jamovi' analyses available to the R user.
Author: Jonathon Love, Damian Dropmann, Ravi Selker
Maintainer: Jonathon Love <jon@thon.cc>

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Package hisse updated to version 1.8.1 with previous version 1.8 dated 2016-08-25

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

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Package BAS updated to version 1.4.3 with previous version 1.4.2 dated 2016-10-13

Title: Bayesian Model Averaging using Bayesian Adaptive Sampling
Description: Package for Bayesian Model Averaging in linear models and generalized linear models using stochastic or deterministic sampling without replacement from posterior distributions. Prior distributions on coefficients are from Zellner's g-prior or mixtures of g-priors corresponding to the Zellner-Siow Cauchy Priors or the mixture of g-priors from Liang et al (2008) <DOI:10.1198/016214507000001337> for linear models or mixtures of g-priors in GLMs of Li and Clyde (2015) <http://arxiv.org/abs/1503.06913>. Other model selection criteria include AIC, BIC and Empirical Bayes estimates of g. Sampling probabilities may be updated based on the sampled models using Sampling w/out Replacement or an efficient MCMC algorithm samples models using the BAS tree structure as an efficient hash table. Uniform priors over all models or beta-binomial prior distributions on model size are allowed, and for large p truncated priors on the model space may be used. The user may force variables to always be included. Details behind the sampling algorithm are provided in Clyde, Ghosh and Littman (2010) <DOI:10.1198/jcgs.2010.09049>. This material is based upon work supported by the National Science Foundation under Grant DMS-1106891. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.
Author: Merlise Clyde [aut, cre, cph], Michael Littman [ctb], Quanli Wang [ctb], Joyee Ghosh [ctb], Yingbo Li [ctb]
Maintainer: Merlise Clyde <clyde@stat.duke.edu>

Diff between BAS versions 1.4.2 dated 2016-10-13 and 1.4.3 dated 2017-02-21

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Package AMModels updated to version 0.1.2 with previous version 0.1.1 dated 2017-02-01

Title: Adaptive Management Model Manager
Description: Helps enable adaptive management by codifying knowledge in the form of models generated from numerous analyses and data sets. Facilitates this process by storing all models and data sets in a single object that can be updated and saved, thus tracking changes in knowledge through time. A shiny application called AM Model Manager (modelMgr()) enables the use of these functions via a GUI.
Author: Jon Katz <jonkatz4@gmail.com>, Therese Donovan <tdonovan@uvm.edu>
Maintainer: Jon Katz <jonkatz4@gmail.com>

Diff between AMModels versions 0.1.1 dated 2017-02-01 and 0.1.2 dated 2017-02-21

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Mon, 20 Feb 2017

New package vote with initial version 1.0-0
Package: vote
Type: Package
Title: Election Vote Counting
Version: 1.0-0
Date: 2017-02-17
Author: Hana Sevcikova, Bernard Silverman, Adrian Raftery
Maintainer: Hana Sevcikova<hanas@uw.edu>
Description: Counting election votes and determining election results by different methods, including the single transferable vote, approval, score and plurality methods.
Imports: formattable, knitr
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2017-02-18 02:35:15 UTC; hana
Repository: CRAN
Date/Publication: 2017-02-21 00:16:00

More information about vote at CRAN
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New package stdvectors with initial version 0.0.5
Package: stdvectors
Type: Package
Title: C++ Standard Library Vectors in R
Version: 0.0.5
Date: 2017-02-20
Author: Marco Giuliano
Maintainer: Marco Giuliano <mgiuliano.mail@gmail.com>
Description: Allows the creation and manipulation of C++ std::vector's in R.
License: GPL (>= 2)
Imports: Rcpp (>= 0.12.4)
URL: https://github.com/digEmAll/stdvectors
BugReports: https://github.com/digEmAll/stdvectors/issues
LinkingTo: Rcpp
NeedsCompilation: yes
Packaged: 2017-02-20 21:42:50 UTC; marco
Repository: CRAN
Date/Publication: 2017-02-21 00:14:31

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Package OxyBS updated to version 1.5 with previous version 1.0 dated 2015-12-01

Title: Processing of Oxy-Bisulfite Microarray Data
Description: Provides utilities for processing of Oxy-Bisulfite microarray data (e.g. via the Illumina Infinium platform, <http://www.illumina.com>) with tandem arrays, one using conventional bisulfite conversion, the other using oxy-bisulfite conversion.
Author: E. Andres Houseman, Sc.D. and Kevin C. Johnson
Maintainer: E. Andres Houseman <eahouseman@gmail.com>

Diff between OxyBS versions 1.0 dated 2015-12-01 and 1.5 dated 2017-02-20

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Package lifecontingencies updated to version 1.2.3 with previous version 1.2.1 dated 2016-07-07

Title: Financial and Actuarial Mathematics for Life Contingencies
Description: Classes and methods that allow the user to manage life table, actuarial tables (also multiple decrements tables). Moreover, functions to easily perform demographic, financial and actuarial mathematics on life contingencies insurances calculations are contained therein.
Author: Giorgio Alfredo Spedicato [cre,aut], Reinhold Kainhofer [ctb], Kevin J. Owens [ctb], Christophe Dutang [ctb], Ernesto Schirmacher[ctb]
Maintainer: Giorgio Alfredo Spedicato <spedicato_giorgio@yahoo.it>

Diff between lifecontingencies versions 1.2.1 dated 2016-07-07 and 1.2.3 dated 2017-02-20

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Package lclGWAS updated to version 1.0.3 with previous version 1.0.2 dated 2016-11-30

Title: Efficient Estimation of Discrete-Time Multivariate Frailty Model Using Exact Likelihood Function for Grouped Survival Data
Description: The core of this 'Rcpp' based package is several functions to estimate the baseline hazard, frailty variance, and fixed effect parameter for a discrete-time shared frailty model with random effects. The functions are designed to analyze grouped time-to-event data accounting for family structure of related individuals (i.e., trios). The core functions include two processes: (1) evaluate the multivariable integration to compute the exact proportional hazards model based likelihood and (2) estimate the desired parameters using maximum likelihood estimation. The integration is evaluated by the 'Cuhre' algorithm from the 'Cuba' library (Hahn, T., Cuba-a library for multidimensional numerical integration, Comput. Phys. Commun. 168, 2005, 78-95 <doi:10.1016/j.cpc.2005.01.010>), and the source files of the 'Cuhre' function are included in this package. The maximization process is carried out using Brent's algorithm, with the 'C++' code file from John Burkardt and John Denker (Brent, R.,Algorithms for Minimization without Derivatives, Dover, 2002, ISBN 0-486-41998-3).
Author: Jiaxing Lin, Alexander Sibley, Tracy Truong, Nancy Cox, Eileen Dolan, Yu Jiang, Janice McCarthy, Andrew Allen, Kouros Owzar, Zhiguo Li
Maintainer: Jiaxing Lin <jiaxing.lin@duke.edu>

Diff between lclGWAS versions 1.0.2 dated 2016-11-30 and 1.0.3 dated 2017-02-20

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Package jtGWAS updated to version 1.5 with previous version 1.4 dated 2016-07-07

Title: Efficient Jonckheere-Terpstra Test Statistics
Description: The core of this 'Rcpp' based package is a function to compute standardized Jonckheere-Terpstra test statistics for large numbers of dependent and independent variables, e.g., genome-wide analysis. It implements 'OpenMP', allowing the option of computing on multiple threads. Supporting functions are also provided to calculate p-values and summarize results.
Author: Jiaxing Lin, Alexander Sibley, Ivo Shterev, and Kouros Owzar
Maintainer: Jiaxing Lin <jiaxing.lin@duke.edu>

Diff between jtGWAS versions 1.4 dated 2016-07-07 and 1.5 dated 2017-02-20

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Package fastJT updated to version 1.0.2 with previous version 1.0.1 dated 2017-02-06

Title: Efficient Jonckheere-Terpstra Test Statistics for Robust Machine Learning and Genome-Wide Association Studies
Description: This 'Rcpp'-based package implements highly efficient functions for the calculation of the Jonckheere-Terpstra statistic. It can be used for a variety of applications, including feature selection in machine learning problems, or to conduct genome-wide association studies (GWAS) with multiple quantitative phenotypes. The code leverages 'OpenMP' directives for multi-core computing to reduce overall processing time.
Author: Jiaxing Lin, Alexander Sibley, Ivo Shterev, and Kouros Owzar
Maintainer: Jiaxing Lin <jiaxing.lin@duke.edu>

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Package W3CMarkupValidator updated to version 0.1-6 with previous version 0.1-5 dated 2015-12-20

Title: R Interface to W3C Markup Validation Services
Description: R interface to a W3C Markup Validation service. See <http://validator.w3.org/> for more information.
Author: Kurt Hornik [aut, cre]
Maintainer: Kurt Hornik <Kurt.Hornik@R-project.org>

Diff between W3CMarkupValidator versions 0.1-5 dated 2015-12-20 and 0.1-6 dated 2017-02-20

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Package textcat updated to version 1.0-5 with previous version 1.0-4 dated 2016-01-04

Title: N-Gram Based Text Categorization
Description: Text categorization based on n-grams.
Author: Kurt Hornik [aut, cre], Johannes Rauch [aut], Christian Buchta [aut], Ingo Feinerer [aut]
Maintainer: Kurt Hornik <Kurt.Hornik@R-project.org>

Diff between textcat versions 1.0-4 dated 2016-01-04 and 1.0-5 dated 2017-02-20

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Package tau updated to version 0.0-19 with previous version 0.0-18 dated 2014-06-11

Title: Text Analysis Utilities
Description: Utilities for text analysis.
Author: Christian Buchta [aut], Kurt Hornik [aut, cre], Ingo Feinerer [aut], David Meyer [aut]
Maintainer: Kurt Hornik <Kurt.Hornik@R-project.org>

Diff between tau versions 0.0-18 dated 2014-06-11 and 0.0-19 dated 2017-02-20

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Package skmeans updated to version 0.2-10 with previous version 0.2-9 dated 2016-12-12

Title: Spherical k-Means Clustering
Description: Algorithms to compute spherical k-means partitions. Features several methods, including a genetic and a fixed-point algorithm and an interface to the CLUTO vcluster program.
Author: Kurt Hornik [aut, cre], Ingo Feinerer [aut], Martin Kober [aut]
Maintainer: Kurt Hornik <Kurt.Hornik@R-project.org>

Diff between skmeans versions 0.2-9 dated 2016-12-12 and 0.2-10 dated 2017-02-20

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Package Rsymphony updated to version 0.1-26 with previous version 0.1-25 dated 2016-12-27

Title: SYMPHONY in R
Description: An R interface to the SYMPHONY solver for mixed-integer linear programs.
Author: Reinhard Harter [aut], Kurt Hornik [aut, cre], Stefan Theussl [aut], Cyrille Szymanski [ctb]
Maintainer: Kurt Hornik <Kurt.Hornik@R-project.org>

Diff between Rsymphony versions 0.1-25 dated 2016-12-27 and 0.1-26 dated 2017-02-20

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Package pawacc updated to version 1.2.2 with previous version 1.2.1 dated 2014-12-10

Title: Physical Activity with Accelerometers
Description: This is a collection of functions to process, format and store accelerometer data.
Author: Marco Geraci
Maintainer: Marco Geraci <geraci@mailbox.sc.edu>

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Package tseries updated to version 0.10-38 with previous version 0.10-37 dated 2017-01-17

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>

Diff between tseries versions 0.10-37 dated 2017-01-17 and 0.10-38 dated 2017-02-20

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Package date updated to version 1.2-37 with previous version 1.2-36 dated 2017-01-17

Title: Functions for Handling Dates
Description: Functions for handling dates.
Author: Terry Therneau [aut], Thomas Lumley [trl] (R port), Kjetil Halvorsen [trl] (R port), Kurt Hornik [trl, ctb, cre] (R port)
Maintainer: Kurt Hornik <Kurt.Hornik@R-project.org>

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Package chron updated to version 2.3-50 with previous version 2.3-49 dated 2017-01-17

Title: Chronological Objects which can Handle Dates and Times
Description: Provides chronological objects which can handle dates and times.
Author: David James [aut] (S original), Kurt Hornik [aut, trl, cre], Gabor Grothendieck [ctb]
Maintainer: Kurt Hornik <Kurt.Hornik@R-project.org>

Diff between chron versions 2.3-49 dated 2017-01-17 and 2.3-50 dated 2017-02-20

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New package RcppBlaze with initial version 0.1.0
Package: RcppBlaze
Type: Package
Title: 'Rcpp' Integration for the 'Blaze' High-Performance C++ Math Library
Version: 0.1.0
Date: 2017-02-21
Author: Ching-Chuan Chen, Klaus Iglberger, Georg Hager, Christian Godenschwager, Tobias Scharpff
Maintainer: Ching-Chuan Chen <zw12356@gmail.com>
URL: https://github.com/Chingchuan-chen/RcppBlaze, https://bitbucket.org/blaze-lib/blaze
BugReports: https://github.com/Chingchuan-chen/RcppBlaze/issues
Description: 'Blaze' is an open-source, high-performance C++ math library for dense and sparse arithmetic. With its state-of-the-art Smart Expression Template implementation Blaze combines the elegance and ease of use of a domain-specific language with HPC-grade performance, making it one of the most intuitive and fastest C++ math libraries available. The Blaze library offers: - high performance through the integration of BLAS libraries and manually tuned HPC math kernels - vectorization by SSE, SSE2, SSE3, SSSE3, SSE4, AVX, AVX2, AVX-512, FMA, and SVML - parallel execution by OpenMP, C++11 threads and Boost threads (Boost threads is disables in RcppBlaze) - the intuitive and easy to use API of a domain specific language - unified arithmetic with dense and sparse vectors and matrices - thoroughly tested matrix and vector arithmetic - completely portable, high quality C++ source code The RcppBlaze package includes the header files from the Blaze library with disabling some functionalities related to link to the thread and system libraries which make RcppBlaze be a header-only library. Therefore, users do not need to install Blaze and the dependency Boost. Blaze is licensed under the New (Revised) BSD license, while RcppBlaze (the Rcpp bindings/bridge to Blaze) is licensed under the GNU GPL version 2 or later, as is the rest of Rcpp. Note that since latest version of Blaze (3.0) commit to C++14 which does not used by most R users, we will use the version 2.6 of Blaze which is C++98 compatible to support the most compilers and system.
Depends: R (>= 3.0.2)
Imports: utils, Rcpp (>= 0.11.0), Matrix (>= 1.1-0)
LinkingTo: Rcpp, BH (>= 1.54.0-2)
Suggests: RUnit, pkgKitten
LazyData: yes
License: GPL (>= 2)
RoxygenNote: 5.0.1
NeedsCompilation: yes
Packaged: 2017-02-20 18:16:27 UTC; Celest
Repository: CRAN
Date/Publication: 2017-02-20 19:48:38

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New package metavcov with initial version 0.1
Package: metavcov
Type: Package
Title: Variance-Covariance Matrix for Multivariate Meta-Analysis
Version: 0.1
Date: 2017-01-21
Author: Min Lu
Maintainer: Min Lu <m.lu6@umiami.edu>
Description: Compute variance-covariance matrix for multivariate meta-analysis. Effect sizes include correlation (r), mean difference (MD), standardized mean difference (SMD), log odds ratio (logOR), log risk ratio (logRR), and risk difference (RD).
Depends: corpcor
License: GPL (>= 2)
LazyData: TRUE
NeedsCompilation: no
Packaged: 2017-02-20 18:18:25 UTC; mlu6
Repository: CRAN
Date/Publication: 2017-02-20 19:48:43

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Package genemodel updated to version 1.1.0 with previous version 1.0.0.0 dated 2016-05-17

Title: Gene Model Plotting in R
Description: Using simple input, this package creates plots of gene models. Users can create plots of alternatively spliced gene variants and the positions of mutations and other gene features.
Author: J Grey Monroe [aut, cre]
Maintainer: J Grey Monroe <greymonroe@gmail.com>

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Package corehunter updated to version 3.1.0 with previous version 3.0.1 dated 2016-10-04

Title: Multi-Purpose Core Subset Selection
Description: Core Hunter is a tool to sample diverse, representative subsets from large germplasm collections, with minimum redundancy. Such so-called core collections have applications in plant breeding and genetic resource management in general. Core Hunter can construct cores based on genetic marker data, phenotypic traits or precomputed distance matrices, optimizing one of many provided evaluation measures depending on the precise purpose of the core (e.g. high diversity, representativeness, or allelic richness). In addition, multiple measures can be simultaneously optimized as part of a weighted index to bring the different perspectives closer together. The Core Hunter library is implemented in Java 8 as an open source project (see <http://www.corehunter.org>).
Author: Herman De Beukelaer [aut, cre], Guy Davenport [aut], Veerle Fack [ths]
Maintainer: Herman De Beukelaer <herman.debeukelaer@gmail.com>

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Package clickR updated to version 0.2.0 with previous version 0.1.12 dated 2016-12-07

Title: Fix Data and Create Report Tables from Different Objects
Description: Fixes data errors in numerical, factor and date variables, checks data quality and performs report tables from models and summaries.
Author: Victoria Fornes Ferrer, David Hervas Marin
Maintainer: David Hervas Marin <ddhervas@yahoo.es>

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Package survRM2 updated to version 1.0-2 with previous version 1.0-1 dated 2015-03-16

Title: Comparing Restricted Mean Survival Time
Description: Performs two-sample comparisons using the restricted mean survival time (RMST) as a summary measure of the survival time distribution. Three kinds of between-group contrast metrics (i.e., the difference in RMST, the ratio of RMST and the ratio of the restricted mean time lost (RMTL)) are computed. It performs an ANCOVA-type covariate adjustment as well as unadjusted analyses for those measures.
Author: Hajime Uno, Lu Tian, Angel Cronin, Chakib Battioui, Miki Horiguchi
Maintainer: Hajime Uno <huno@jimmy.harvard.edu>

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Package SGPdata updated to version 15.0-0.0 with previous version 14.0-0.0 dated 2016-09-16

Title: Exemplar Data Sets for SGP Analyses
Description: Data sets utilized by the SGP Package as exemplars for users to conduct their own SGP analyses.
Author: Damian W. Betebenner [aut, cre], Adam Van Iwaarden [aut], Ben Domingue [aut]
Maintainer: Damian W. Betebenner <dbetebenner@nciea.org>

Diff between SGPdata versions 14.0-0.0 dated 2016-09-16 and 15.0-0.0 dated 2017-02-20

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Package earth updated to version 4.4.9 with previous version 4.4.8 dated 2017-02-19

Title: Multivariate Adaptive Regression Splines
Description: Build regression models using the techniques in Friedman's papers "Fast MARS" and "Multivariate Adaptive Regression Splines". (The term "MARS" is trademarked and thus not used in the name of the package.)
Author: Stephen Milborrow. Derived from mda:mars by Trevor Hastie and Rob Tibshirani. Uses Alan Miller's Fortran utilities with Thomas Lumley's leaps wrapper.
Maintainer: Stephen Milborrow <milbo@sonic.net>

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New package dlib with initial version 1.0
Package: dlib
Type: Package
Title: Allow Access to the 'Dlib' C++ Library
License: BSL-1.0
Version: 1.0
Date: 2017-02-01
Maintainer: Jan Wijffels <jwijffels@bnosac.be>
Author: Jan Wijffels, BNOSAC and Davis King
Description: Interface for 'Rcpp' users to 'dlib' <http://dlib.net> which is a 'C++' toolkit containing machine learning algorithms and computer vision tools. It is used in a wide range of domains including robotics, embedded devices, mobile phones, and large high performance computing environments. This package allows R users to use 'dlib' through 'Rcpp'.
LinkingTo: Rcpp
Imports: Rcpp
Suggests: inline, magick
RoxygenNote: 6.0.1
NeedsCompilation: yes
Packaged: 2017-02-20 15:38:33 UTC; bnosac
Repository: CRAN
Date/Publication: 2017-02-20 17:23:08

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Package batchtools updated to version 0.9.2 with previous version 0.9.0 dated 2016-11-07

Title: Tools for Computation on Batch Systems
Description: As a successor of the packages 'BatchJobs' and 'BatchExperiments', this package provides a parallel implementation of the Map function for high performance computing systems managed by schedulers 'IBM Spectrum LSF' (<http://www-03.ibm.com/systems/spectrum-computing/products/lsf/>), 'OpenLava' (<http://www.openlava.org/>), 'Univa Grid Engine'/'Oracle Grid Engine' (<http://www.univa.com/>), 'Slurm' (<http://slurm.schedmd.com/>), 'TORQUE/PBS' (<http://www.adaptivecomputing.com/products/open-source/torque/>), or 'Docker Swarm' (<https://docs.docker.com/swarm/>). A multicore and socket mode allow the parallelization on a local machines, and multiple machines can be hooked up via SSH to create a makeshift cluster. Moreover, the package provides an abstraction mechanism to define large-scale computer experiments in a well-organized and reproducible way.
Author: Michel Lang [cre, aut], Bernd Bischl [aut], Dirk Surmann [ctb]
Maintainer: Michel Lang <michellang@gmail.com>

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New package wrangle with initial version 0.3
Package: wrangle
Type: Package
Title: A Systematic Data Wrangling Idiom
Version: 0.3
Date: 2017-02-20
Author: Tim Bergsma
Maintainer: Tim Bergsma <bergsmat@gmail.com>
Description: Supports systematic scrutiny, modification, and integration of data. The function status() counts rows that have missing values in grouping columns (returned by na() ), have non-unique combinations of grouping columns (returned by dup() ), and that are not locally sorted (returned by unsorted() ). Functions enumerate() and itemize() give sorted unique combinations of columns, with or without occurrence counts, respectively. Function ignore() drops columns in x that are present in y, and informative() drops columns in x that are entirely NA. Data that have defined unique combinations of grouping values behave more predictably during merge operations.
License: GPL-3
LazyData: TRUE
Imports: dplyr, tidyr, lazyeval, magrittr
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-02-20 14:08:49 UTC; tbergsma
Repository: CRAN
Date/Publication: 2017-02-20 15:23:18

More information about wrangle at CRAN
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Package MXM updated to version 0.9.8 with previous version 0.9.7 dated 2016-12-20

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

Diff between MXM versions 0.9.7 dated 2016-12-20 and 0.9.8 dated 2017-02-20

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Package L1pack updated to version 0.38 with previous version 0.3 dated 2015-04-13

Title: Routines for L1 Estimation
Description: L1 estimation for linear regression, density, distribution function, quantile function and random number generation for univariate and multivariate Laplace distribution.
Author: Felipe Osorio [aut, cre] and Tymoteusz Wolodzko [aut]
Maintainer: Felipe Osorio <felipe.osorio@ucv.cl>

Diff between L1pack versions 0.3 dated 2015-04-13 and 0.38 dated 2017-02-20

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Package gMOIP updated to version 1.1.0 with previous version 1.0.0 dated 2017-01-23

Title: '2D plots of linear or integer programming models'
Description: Make 2D plots of the polyeder of a LP or IP problem, including integer points and iso profit curve. Can also make a plot of a bi-objective criterion space.
Author: Lars Relund [aut, cre]
Maintainer: Lars Relund <lars@relund.dk>

Diff between gMOIP versions 1.0.0 dated 2017-01-23 and 1.1.0 dated 2017-02-20

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New package glmmTMB with initial version 0.1.1
Package: glmmTMB
Title: Generalized Linear Mixed Models using Template Model Builder
Version: 0.1.1
Date: 2017-1-30
Authors@R: c(person("Arni","Magnusson",role="aut"), person("Hans","Skaug",role="aut"), person("Anders","Nielsen",role="aut"), person("Casper","Berg",role="aut"), person("Kasper","Kristensen",role="aut"), person("Martin","Maechler",role="aut"), person("Koen","van Bentham",role="aut"), person("Ben","Bolker",role="aut"), person("Mollie","Brooks",role=c("aut","cre"), email="mollieebrooks@gmail.com"))
Description: Fit linear and generalized linear mixed models with various extensions, including zero-inflation. The models are fitted using maximum likelihood estimation via 'TMB' (Template Model Builder). Random effects are assumed to be Gaussian on the scale of the linear predictor and are integrated out using the Laplace approximation. Gradients are calculated using automatic differentiation.
License: AGPL-3
Imports: methods, TMB (>= 1.7.6), lme4 (>= 1.1-10), Matrix, nlme
LinkingTo: TMB, RcppEigen
Suggests: knitr, testthat, MASS, lattice, ggplot2, mlmRev, bbmle, pscl, MCMCpack, coda, reshape2
VignetteBuilder: knitr
URL: https://github.com/glmmTMB
LazyData: TRUE
BugReports: https://github.com/glmmTMB/glmmTMB/issues
RoxygenNote: 6.0.1
NeedsCompilation: yes
Packaged: 2017-02-19 19:15:52 UTC; molliebrooks1
Author: Arni Magnusson [aut], Hans Skaug [aut], Anders Nielsen [aut], Casper Berg [aut], Kasper Kristensen [aut], Martin Maechler [aut], Koen van Bentham [aut], Ben Bolker [aut], Mollie Brooks [aut, cre]
Maintainer: Mollie Brooks <mollieebrooks@gmail.com>
Repository: CRAN
Date/Publication: 2017-02-20 15:23:16

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Package FactoMineR updated to version 1.35 with previous version 1.34 dated 2016-11-17

Title: Multivariate Exploratory Data Analysis and Data Mining
Description: Exploratory data analysis methods to summarize, visualize and describe datasets. The main principal component methods are available, those with the largest potential in terms of applications: principal component analysis (PCA) when variables are quantitative, correspondence analysis (CA) and multiple correspondence analysis (MCA) when variables are categorical, Multiple Factor Analysis when variables are structured in groups, etc. and hierarchical cluster analysis.
Author: Francois Husson, Julie Josse, Sebastien Le, Jeremy Mazet
Maintainer: Francois Husson <francois.husson@agrocampus-ouest.fr>

Diff between FactoMineR versions 1.34 dated 2016-11-17 and 1.35 dated 2017-02-20

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Package LendingClub updated to version 1.0.2 with previous version 1.0.1 dated 2016-12-11

Title: A Lending Club API Wrapper
Description: Functions to access Lending Club's API and assist the investor manage their account. Lending Club is a peer-to-peer lending service where loans are broken up into $25 notes that investors buy with the expectation of earning a return on the interest. You can learn more about the API here: <http://www.lendingclub.com/developers/lc-api.action>.
Author: Ryan Kuhn
Maintainer: Ryan Kuhn <kuhnrl30@gmail.com>

Diff between LendingClub versions 1.0.1 dated 2016-12-11 and 1.0.2 dated 2017-02-20

 DESCRIPTION        |    8 ++++----
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Package BayesFM updated to version 0.1.2 with previous version 0.1.1 dated 2017-02-06

Title: Bayesian Inference for Factor Modeling
Description: Collection of procedures to perform Bayesian analysis on a variety of factor models. Currently, it includes: Bayesian Exploratory Factor Analysis (befa), an approach to dedicated factor analysis with stochastic search on the structure of the factor loading matrix. The number of latent factors, as well as the allocation of the manifest variables to the factors, are not fixed a priori but determined during MCMC sampling. More approaches will be included in future releases of this package.
Author: Rémi Piatek [aut, cre]
Maintainer: Rémi Piatek <remi.piatek@econ.ku.dk>

Diff between BayesFM versions 0.1.1 dated 2017-02-06 and 0.1.2 dated 2017-02-20

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New package AWR.KMS with initial version 0.1
Type: Package
Package: AWR.KMS
Maintainer: Gergely Daroczi <gergely.daroczi@card.com>
Author: Gergely Daroczi <gergely.daroczi@card.com>
Title: A Simple Client to the 'AWS' Key Management Service
Description: Encrypt plain text and 'decrypt' cipher text using encryption keys hosted at Amazon Web Services ('AWS') Key Management Service ('KMS'), on which see <https://aws.amazon.com/kms> for more information.
Version: 0.1
Date: 2017-02-19
URL: https://github.com/cardcorp/AWR.KMS
License: AGPL-3
Imports: AWR, rJava, jsonlite
NeedsCompilation: no
Packaged: 2017-02-20 00:07:59 UTC; daroczig
Repository: CRAN
Date/Publication: 2017-02-20 10:16:40

More information about AWR.KMS at CRAN
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Package Rcoclust updated to version 0.1.1 with previous version 0.1 dated 2017-02-08

Title: Co-Clustering with Document-Term Matrix
Description: Functions for co-clustering with C code illustrating two diagonal approaches, (Ailem & Role & Nadif, 2016, <doi:10.1016/j.knosys.2016.07.002>), (Laclau & Nadif, 2016, <doi:10.1016/j.neucom.2016.02.003>). A relevant initialization and a suitable setting of the parameters are required. For a dimensionality reduction via random projection, a function is included.
Author: R. Priam <rpriam@gmail.com>
Maintainer: R. Priam <rpriam@gmail.com>

Diff between Rcoclust versions 0.1 dated 2017-02-08 and 0.1.1 dated 2017-02-20

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Package Qtools updated to version 1.2 with previous version 1.1 dated 2016-05-26

Title: Utilities for Quantiles
Description: This is a collection of functions for unconditional and conditional quantiles. These include methods for transformation-based quantile regression, quantile-based measures of location, scale and shape, methods for quantiles of discrete variables, quantile-based multiple imputation, and restricted quantile regression.
Author: Marco Geraci
Maintainer: Marco Geraci <geraci@mailbox.sc.edu>

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Package pollstR updated to version 2.0.0 with previous version 1.4.0 dated 2016-07-24

Title: Client for the HuffPost Pollster API
Description: Client for the HuffPost Pollster API, which provides access to U.S. polls on elections and political opinion.
Author: Jeffrey B. Arnold [aut, cre], Thomas J. Leeper [aut], Drew Linzer [aut]
Maintainer: Jeffrey B. Arnold <jeffrey.arnold@gmail.com>

Diff between pollstR versions 1.4.0 dated 2016-07-24 and 2.0.0 dated 2017-02-20

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New package GSparO with initial version 1.0
Package: GSparO
Title: Group Sparse Optimization
Version: 1.0
Authors@R: c(person("Yaohua", "Hu", email = "mayhhu@szu.edu.cn", role = c("aut","cre","cph")),person("Xinlin", "Hu", email = "ramakstt@gmail.com", role = c("trl")))
Description: Approaches a group sparse solution of an underdetermined linear system. It implements the proximal gradient algorithm to solve a lower regularization model of group sparse learning. For details, please refer to the paper "Y. Hu, C. Li, K. Meng, J. Qin and X. Yang. Group sparse optimization via l_{p,q} regularization. Journal of Machine Learning Research, to appear, 2017".
Depends: R (>= 3.3.1)
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
Imports: stats,ThreeWay,ggplot2
RoxygenNote: 6.0.0
NeedsCompilation: no
Packaged: 2017-02-20 04:02:36 UTC; Administrator
Author: Yaohua Hu [aut, cre, cph], Xinlin Hu [trl]
Maintainer: Yaohua Hu <mayhhu@szu.edu.cn>
Repository: CRAN
Date/Publication: 2017-02-20 08:11:11

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Package fileplyr updated to version 0.2.0 with previous version 0.1.0 dated 2017-02-03

Title: Chunk Processing or Split-Apply-Combine on Delimited Files and Distributed Dataframes
Description: Perform chunk processing or split-apply-combine on data in a delimited file (example: CSV) and Distributed Dataframes (DDF) across multiple cores of a single machine with low memory footprint. These functions are a convenient wrapper over the versatile package 'datadr'.
Author: KS Srikanth [aut, cre]
Maintainer: KS Srikanth <sri.teach@gmail.com>

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Package ecospace updated to version 1.1.3 with previous version 1.1.1 dated 2017-01-06

Title: Simulating Community Assembly and Ecological Diversification Using Ecospace Frameworks
Description: Implements stochastic simulations of community assembly (ecological diversification) using customizable ecospace frameworks (functional trait spaces). Provides a wrapper to calculate common ecological disparity and functional ecology statistical dynamics as a function of species richness. Functions are written so they will work in a parallel-computing environment.
Author: Phil Novack-Gottshall [aut, cre]
Maintainer: Phil Novack-Gottshall <pnovack-gottshall@ben.edu>

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New package colorr with initial version 1.0.0
Package: colorr
Type: Package
Title: Color Palettes for EPL, MLB, NBA, NHL, and NFL Teams
Version: 1.0.0
Authors@R: person("Charles", "Crabtree", role = c("aut", "cre"), email = "ccrabtr@umich.edu")
Description: Color palettes for EPL, MLB, NBA, NHL, and NFL teams.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-02-19 23:04:34 UTC; cdcrabtree
Author: Charles Crabtree [aut, cre]
Maintainer: Charles Crabtree <ccrabtr@umich.edu>
Repository: CRAN
Date/Publication: 2017-02-20 08:11:16

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New package ChoR with initial version 0.0-1
Package: ChoR
Title: Chordalysis R Package
Version: 0.0-1
Date: 2017-02-20
Authors@R: c( person(given = "François", family = "Petitjean", role = "aut"), person(given = "Matthieu", family = "Herrmann", role = c("aut", "com", "cre"), email = "matthieu.herrmann@monash.edu"), person(given = "Christoph", family = "Bergmeir", role = c("ctb")) )
Description: Learning the structure of graphical models from datasets with thousands of variables. More information about the research papers detailing the theory behind Chordalysis is available at <http://www.francois-petitjean.com/Research> (KDD 2016, SDM 2015, ICDM 2014, ICDM 2013). The R package development site is <https://github.com/HerrmannM/Monash-ChoR>.
Imports: rJava (>= 0.9.8), stats
Suggests: graph (>= 1.52.0), Rgraphviz (>= 2.18.0)
SystemRequirements: Java (>= 1.8)
License: GPL-3
Encoding: UTF-8
RoxygenNote: 5.0.1
NeedsCompilation: no
LazyData: true
Packaged: 2017-02-20 05:04:15 UTC; matthieu
Author: François Petitjean [aut], Matthieu Herrmann [aut, com, cre], Christoph Bergmeir [ctb]
Maintainer: Matthieu Herrmann <matthieu.herrmann@monash.edu>
Repository: CRAN
Date/Publication: 2017-02-20 08:11:09

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Package CEoptim updated to version 1.2 with previous version 1.1 dated 2015-08-22

Title: Cross-Entropy R Package for Optimization
Description: Optimization solver based on the Cross-Entropy method.
Author: Tim Benham and Qibin Duan and Dirk P. Kroese and Benoit Liquet
Maintainer: Benoit Liquet <b.liquet@uq.edu.au>

Diff between CEoptim versions 1.1 dated 2015-08-22 and 1.2 dated 2017-02-20

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Sun, 19 Feb 2017

Package textreadr updated to version 0.3.1 with previous version 0.3.0 dated 2017-01-11

Title: Read Text Documents into R
Description: A small collection of convenience tools for reading text documents into R.
Author: Tyler Rinker [aut, cre], Bryan Goodrich [ctb]
Maintainer: Tyler Rinker <tyler.rinker@gmail.com>

Diff between textreadr versions 0.3.0 dated 2017-01-11 and 0.3.1 dated 2017-02-19

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Package syllable updated to version 0.1.3 with previous version 0.1.2 dated 2017-01-20

Title: A Small Collection of Syllable Counting Functions
Description: Tools for counting syllables and polysyllables. The tools rely primarily on a 'data.table' hash table lookup, resulting in fast syllable counting.
Author: Tyler Rinker [aut, cre]
Maintainer: Tyler Rinker <tyler.rinker@gmail.com>

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Package lexicon updated to version 0.1.1 with previous version 0.1.0 dated 2017-01-20

Title: Lexicons for Text Analysis
Description: A collection of lexical hash tables, dictionaries, and word lists.
Author: Tyler Rinker [aut, cre]
Maintainer: Tyler Rinker <tyler.rinker@gmail.com>

Diff between lexicon versions 0.1.0 dated 2017-01-20 and 0.1.1 dated 2017-02-19

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