Fri, 17 Mar 2017

Package SSDM updated to version 0.2.0 with previous version 0.1.1 dated 2016-02-17

Title: Stacked Species Distribution Modelling
Description: Allows to map species richness and endemism based on stacked species distribution models (SSDM). Individuals SDMs can be created using a single or multiple algorithms (ensemble SDMs). For each species, an SDM can yield a habitat suitability map, a binary map, a between-algorithm variance map, and can assess variable importance, algorithm accuracy, and between- algorithm correlation. Methods to stack individual SDMs include summing individual probabilities and thresholding then summing. Thresholding can be based on a specific evaluation metric or by drawing repeatedly from a Bernoulli distribution. The SSDM package also provides a user-friendly interface.
Author: Sylvain Schmitt, Robin Pouteau, Dimitri Justeau, Philippe Birnbaum
Maintainer: Sylvain Schmitt <sylvain.schmitt@agroparistech.fr>

Diff between SSDM versions 0.1.1 dated 2016-02-17 and 0.2.0 dated 2017-03-17

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More information about SSDM at CRAN
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Package SpatPCA updated to version 1.1.1.2 with previous version 1.1.1.1 dated 2016-05-27

Title: Regularized Principal Component Analysis for Spatial Data
Description: Provide regularized principal component analysis incorporating smoothness, sparseness and orthogonality of eigenfunctions by using the alternating direction method of multipliers algorithm. The method can be applied to either regularly or irregularly spaced data (Wang and Huang, 2017).
Author: Wen-Ting Wang, Hsin-Cheng Huang
Maintainer: Wen-Ting Wang <egpivo@gmail.com>

Diff between SpatPCA versions 1.1.1.1 dated 2016-05-27 and 1.1.1.2 dated 2017-03-17

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Package SpatMCA updated to version 1.0.0.2 with previous version 1.0.0.1 dated 2016-06-04

Title: Regularized Spatial Maximum Covariance Analysis
Description: Provide regularized maximum covariance analysis incorporating smoothness, sparseness and orthogonality of couple patterns by using the alternating direction method of multipliers algorithm. The method can be applied to either regularly or irregularly spaced data (Wang and Huang, 2017).
Author: Wen-Ting Wang [aut, cre], Hsin-Cheng Huang [aut]
Maintainer: Wen-Ting Wang <egpivo@gmail.com>

Diff between SpatMCA versions 1.0.0.1 dated 2016-06-04 and 1.0.0.2 dated 2017-03-17

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Package pcrsim updated to version 1.0.2 with previous version 1.0.1 dated 2016-10-03

Title: Simulation of the Forensic DNA Process
Description: Simulate the forensic DNA process: generate random or fixed DNA profiles, create forensic samples including mixtures of diploid and haploid cells, simulate DNA extraction, normalization, degradation, amplification including stutters and inter-locus balance, and capillary electrophoresis. DNA profiles are visualized as electropherograms and saved in tables. The command pcrsim() opens up a graphical user interface which allow the user to create projects, to enter, load, and save parameters required for the simulation. The simulation is transparent and the parameters used in each step of the simulation can be viewed in the result tables.
Author: Oskar Hansson
Maintainer: Oskar Hansson <oskhan@ous-hf.no>

Diff between pcrsim versions 1.0.1 dated 2016-10-03 and 1.0.2 dated 2017-03-17

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Package mazeGen updated to version 0.1.2 with previous version 0.1.1 dated 2017-02-12

Title: Elithorn Maze Generator
Description: A maze generator that creates the Elithorn Maze (HTML file) and the functions to calculate the associated maze parameters (i.e. Difficulty and Ability).
Author: Bao Sheng Loe (Aiden) [aut,cre,cph], Maria Sanchez[ctb]
Maintainer: Bao Sheng Loe (Aiden) <bsl28@cam.ac.uk>

Diff between mazeGen versions 0.1.1 dated 2017-02-12 and 0.1.2 dated 2017-03-17

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Package equSA updated to version 1.1.1 with previous version 1.0.1 dated 2017-02-23

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

Diff between equSA versions 1.0.1 dated 2017-02-23 and 1.1.1 dated 2017-03-17

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Package rstantools updated to version 1.2.0 with previous version 1.1.0 dated 2016-12-19

Title: Tools for Developing R Packages Interfacing with 'Stan'
Description: Provides various tools for developers of R packages interfacing with 'Stan' <http://mc-stan.org>, including functions to set up the required package structure, S3 generics and default methods to unify function naming across 'Stan'-based R packages, and a vignette with recommendations for developers.
Author: Jonah Gabry [aut, cre], Ben Goodrich [aut], Trustees of Columbia University [cph]
Maintainer: Jonah Gabry <jsg2201@columbia.edu>

Diff between rstantools versions 1.1.0 dated 2016-12-19 and 1.2.0 dated 2017-03-17

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Package rsparkling updated to version 0.2.0 with previous version 0.1.1 dated 2017-02-24

Title: R Interface for H2O Sparkling Water
Description: An extension package for 'sparklyr' that provides an R interface to H2O Sparkling Water machine learning library (see <https://github.com/h2oai/sparkling-water> for more information).
Author: JJ Allaire [aut], Erin LeDell [aut], Michal Malohlava [aut], Navdeep Gill [aut, cre], Jakub Hava [aut], RStudio [cph], H2O.ai [cph]
Maintainer: Navdeep Gill <navdeep@h2o.ai>

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Package SetMethods updated to version 2.1 with previous version 2.0 dated 2016-08-14

Title: Functions for Set-Theoretic Multi-Method Research and Advanced QCA
Description: This initiated as a package companion to the book by C. Q. Schneider and C. Wagemann "Set-Theoretic Methods for the Social Sciences", Cambridge University Press. It grew to include functions for performing set-theoretic multi-method research, QCA for clustered data, theory evaluation, and Enhanced Standard Analysis. Additionally it includes data to replicate the examples in the book and in the online appendix.
Author: Juraj Medzihorsky [aut], Ioana-Elena Oana [aut, cre], Mario Quaranta [aut], Carsten Q. Schneider [aut]
Maintainer: Ioana-Elena Oana <oana_ioana-elena@phd.ceu.edu>

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More information about SetMethods at CRAN
Permanent link

Package frontier updated to version 1.1-2 with previous version 1.1-0 dated 2013-08-20

Title: Stochastic Frontier Analysis
Description: Maximum Likelihood Estimation of Stochastic Frontier Production and Cost Functions. Two specifications are available: the error components specification with time-varying efficiencies (Battese and Coelli, 1992) and a model specification in which the firm effects are directly influenced by a number of variables (Battese and Coelli, 1995).
Author: Tim Coelli, Arne Henningsen
Maintainer: Arne Henningsen <arne.henningsen@gmail.com>

Diff between frontier versions 1.1-0 dated 2013-08-20 and 1.1-2 dated 2017-03-17

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Package adhoc updated to version 1.1 with previous version 1.0 dated 2013-12-13

Title: Calculate Ad Hoc Distance Thresholds for DNA Barcoding Identification
Description: Two functions to calculate intra- and interspecific pairwise distances, evaluate DNA barcoding identification error and calculate an ad hoc distance threshold for each particular reference library of DNA barcodes. Specimen identification at this ad hoc distance threshold (using the best close match method) will produce identifications with an estimated relative error probability that can be fixed by the user (e.g. 5%).
Author: Gontran Sonet
Maintainer: Gontran Sonet <gosonet@gmail.com>

Diff between adhoc versions 1.0 dated 2013-12-13 and 1.1 dated 2017-03-17

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New package MonteCarlo with initial version 1.0.0
Package: MonteCarlo
Type: Package
Title: Automatic Parallelized Monte Carlo Simulations
Version: 1.0.0
Date: 2017-03-10
Author: Christian Hendrik Leschinski
Maintainer: Christian Hendrik Leschinski <leschinski@statistik.uni-hannover.de>
Description: Simplifies Monte Carlo simulation studies by automatically setting up loops to run over parameter grids and parallelising the Monte Carlo repetitions. It also generates LaTeX tables.
URL: http://github.com/FunWithR/MonteCarlo
BugReports: http://github.com/FunWithR/MonteCarlo/issues
License: GPL-2
Depends: R (>= 3.0.2)
Imports: abind(>= 1.4-0), codetools(>= 0.2-8), rlecuyer(>= 0.3-4), snow(>= 0.4-1), snowfall(>= 1.84-4), stats(>= 3.0.2), utils(>= 3.0.2)
RoxygenNote: 5.0.1
Suggests: knitr, rmarkdown, testthat
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2017-03-11 11:32:33 UTC; Christian
Repository: CRAN
Date/Publication: 2017-03-17 13:01:20 UTC

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Package GFA updated to version 1.0.1 with previous version 1.0.0 dated 2016-10-11

Title: Group Factor Analysis
Description: Factor analysis implementation for multiple data sources, i.e., for groups of variables. The whole data analysis pipeline is provided, including functions and recommendations for data normalization and model definition, as well as missing value prediction and model visualization. The model group factor analysis (GFA) is inferred with Gibbs sampling, and it has been presented originally by Virtanen et al. (2012), and extended in Klami et al. (2015) <DOI:10.1109/TNNLS.2014.2376974> and Bunte et al. (2016) <DOI:10.1093/bioinformatics/btw207>; for details, see the citation info.
Author: Eemeli Leppaaho [aut, cre], Seppo Virtanen [aut], Muhammad Ammad-ud-din [ctb], Suleiman A Khan [ctb], Tommi Suvitaival [ctb], Inka Saarinen [ctb], Samuel Kaski [ctb]
Maintainer: Eemeli Leppaaho <eemeli.leppaaho@aalto.fi>

Diff between GFA versions 1.0.0 dated 2016-10-11 and 1.0.1 dated 2017-03-17

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Package gdtools updated to version 0.1.4 with previous version 0.1.3 dated 2016-11-10

Title: Utilities for Graphical Rendering
Description: Useful tools for writing vector graphics devices.
Author: David Gohel [aut, cre], Hadley Wickham [aut], Lionel Henry [aut], Jeroen Ooms [aut], Yixuan Qiu [ctb], R Core Team [cph] (Cairo code from X11 device), RStudio [cph]
Maintainer: David Gohel <david.gohel@ardata.fr>

Diff between gdtools versions 0.1.3 dated 2016-11-10 and 0.1.4 dated 2017-03-17

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New package AcousticNDLCodeR with initial version 1.0.0
Package: AcousticNDLCodeR
Type: Package
Title: Coding Sound Files for Use with NDL
Version: 1.0.0
Date: 2017-03-17
Authors@R: person("Denis", "Arnold", email="denis.arnold@uni-tuebingen.de", role = c("aut","dtc","cre"))
Maintainer: Denis Arnold <denis.arnold@uni-tuebingen.de>
Depends: R (>= 3.0.0)
Description: Make acoustic cues to use with the R packages 'ndl' or 'ndl2'. The package implements functions used in the PLOS ONE paper: Denis Arnold, Fabian Tomaschek, Konstantin Sering, Florence Lopez, and R. Harald Baayen (accepted). Words from spontaneous conversational speech can be recognized with human-like accuracy by an error-driven learning algorithm that discriminates between meanings straight from smart acoustic features, bypassing the phoneme as recognition unit. PLOS ONE More details can be found in the paper and the supplement. 'ndl' is available on CRAN. 'ndl2' is available by request from <konstantin.sering@uni-tuebingen.de>.
Imports: tuneR, zoo, seewave, parallel
License: GPL (>= 2)
LazyData: TRUE
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-03-17 12:16:10 UTC; darnold
Author: Denis Arnold [aut, dtc, cre]
Repository: CRAN
Date/Publication: 2017-03-17 13:01:17 UTC

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Package TSPred updated to version 3.0 with previous version 2.0 dated 2015-04-07

Title: Functions for Benchmarking Time Series Prediction
Description: Functions for time series prediction and accuracy assessment using automatic linear modelling. The generated linear models and its yielded prediction errors can be used for benchmarking other time series prediction methods and for creating a demand for the refinement of such methods. For this purpose, benchmark data from prediction competitions may be used.
Author: Rebecca Pontes Salles [aut, cre, cph] (CEFET/RJ), Eduardo Ogasawara [ths] (CEFET/RJ)
Maintainer: Rebecca Pontes Salles <rebeccapsalles@acm.org>

Diff between TSPred versions 2.0 dated 2015-04-07 and 3.0 dated 2017-03-17

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New package ropercenter with initial version 0.1.0
Package: ropercenter
Type: Package
Title: Reproducible Data Retrieval from the Roper Center Data Archive
Version: 0.1.0
Date: 2017-03-01
Authors@R: c( person("Frederick", "Solt", email = "frederick-solt@uiowa.edu", role = c("aut", "cre")))
URL: https://github.com/fsolt/ropercenter
BugReports: https://github.com/fsolt/ropercenter/issues
Description: Reproducible, programmatic retrieval of datasets from the Roper Center data archive. The Roper Center for Public Opinion Research <https://ropercenter.cornell.edu> maintains the largest archive of public opinion data in existence, but researchers using these datasets are caught in a bind. The Center's terms and conditions bar redistribution of downloaded datasets, but to ensure that one's work can be reproduced, assessed, and built upon by others, one must provide access to the raw data one employed. The `ropercenter` package cuts this knot by providing registered users with programmatic, reproducible access to Roper Center datasets from within R.
License: MIT + file LICENSE
LazyData: TRUE
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
Imports: rvest, httr, xml2, dplyr, stringr, haven, foreign
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-03-16 12:50:20 UTC; fredsolt
Author: Frederick Solt [aut, cre]
Maintainer: Frederick Solt <frederick-solt@uiowa.edu>
Repository: CRAN
Date/Publication: 2017-03-17 11:16:32 UTC

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Package rmumps updated to version 5.0.1.12-3 with previous version 5.0.1.12-1 dated 2017-03-08

Title: Wrapper for MUMPS Library
Description: Some basic features of MUMPS (Multifrontal Massively Parallel sparse direct Solver) are wrapped in a class whose methods can be used for sequentially solving a sparse linear system (symmetric or not) with one or many right hand sides (dense or sparse). There is a possibility to do separately symbolic analysis, LU factorization and system solving.
Author: Serguei Sokol
Maintainer: Serguei Sokol <sokol@insa-toulouse.fr>

Diff between rmumps versions 5.0.1.12-1 dated 2017-03-08 and 5.0.1.12-3 dated 2017-03-17

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Package ncar updated to version 0.3.4 with previous version 0.3.3 dated 2017-03-14

Title: Noncompartmental Analysis for Pharmacokinetic Data for Report
Description: Conduct a noncompartmental analysis as closely as possible to the most widely used commercial software for pharmacokinetic analysis, i.e. 'Phoenix(R) WinNonlin(R)' <https://www.certara.com/software/pkpd-modeling-and-simulation/phoenix-winnonlin/>. Some features are 1) CDISC SDTM terms 2) Automatic slope selection with the same criterion of WinNonlin(R) 3) Supporting both 'linear-up linear-down' and 'linear-up log-down' method 4) Interval(partial) AUCs with 'linear' or 'log' interpolation method 5) Produce pdf, rtf, text report files. * Reference: Gabrielsson J, Weiner D. Pharmacokinetic and Pharmacodynamic Data Analysis - Concepts and Applications. 5th ed. 2016. (ISBN:9198299107).
Author: Kyun-Seop Bae [aut]
Maintainer: Kyun-Seop Bae <k@acr.kr>

Diff between ncar versions 0.3.3 dated 2017-03-14 and 0.3.4 dated 2017-03-17

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Package meta updated to version 4.8-1 with previous version 4.8-0 dated 2017-03-12

Title: General Package for Meta-Analysis
Description: User-friendly general package providing standard methods for meta-analysis and supporting Schwarzer, Carpenter, and Rücker <DOI:10.1007/978-3-319-21416-0>, "Meta-Analysis with R" (2015): - fixed effect and random effects meta-analysis; - several plots (forest, funnel, Galbraith / radial, L'Abbe, Baujat, bubble); - statistical tests and trim-and-fill method to evaluate bias in meta-analysis; - import data from 'RevMan 5'; - prediction interval, Hartung-Knapp and Paule-Mandel method for random effects model; - cumulative meta-analysis and leave-one-out meta-analysis; - meta-regression (if R package 'metafor' is installed); - generalised linear mixed models (if R packages 'metafor', 'lme4', 'numDeriv', and 'BiasedUrn' are installed).
Author: Guido Schwarzer [cre, aut]
Maintainer: Guido Schwarzer <sc@imbi.uni-freiburg.de>

Diff between meta versions 4.8-0 dated 2017-03-12 and 4.8-1 dated 2017-03-17

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More information about meta at CRAN
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New package denseFLMM with initial version 0.1.0
Package: denseFLMM
Type: Package
Title: Functional Linear Mixed Models for Densely Sampled Data
Version: 0.1.0
Author: Sonja Greven, Jona Cederbaum
Maintainer: Jona Cederbaum <Jona.Cederbaum@stat.uni-muenchen.de>
Description: Estimation of functional linear mixed models for densely sampled data based on functional principal component analysis.
License: GPL-2
LazyData: TRUE
Depends: R (>= 3.3.1), mgcv (>= 1.8-12)
Imports: methods, parallel, MASS, Matrix, mvtnorm
Suggests:
Collate: 'denseFLMM.R'
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-03-17 09:41:55 UTC; Jona
Repository: CRAN
Date/Publication: 2017-03-17 11:16:29 UTC

More information about denseFLMM at CRAN
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Package chemometrics updated to version 1.4.2 with previous version 1.4.1 dated 2016-08-03

Title: Multivariate Statistical Analysis in Chemometrics
Description: R companion to the book "Introduction to Multivariate Statistical Analysis in Chemometrics" written by K. Varmuza and P. Filzmoser (2009).
Author: Peter Filzmoser and Kurt Varmuza
Maintainer: P. Filzmoser <P.Filzmoser@tuwien.ac.at>

Diff between chemometrics versions 1.4.1 dated 2016-08-03 and 1.4.2 dated 2017-03-17

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New package treespace with initial version 1.0.0
Package: treespace
Title: Statistical Exploration of Landscapes of Phylogenetic Trees
Version: 1.0.0
Date: 2017-03-15
Authors@R: c(TJ = person("Thibaut", "Jombart", email="thibautjombart@gmail.com", role = c("aut", "cre")), MK = person("Michelle", "Kendall", email="m.kendall@imperial.ac.uk", role = "aut"), JAG = person("Jacob", "Almagro-Garcia", role = "aut"), CC = person("Caroline", "Colijn", role = "aut"))
Maintainer: Thibaut Jombart <thibautjombart@gmail.com>
Description: Tools for the exploration of distributions of phylogenetic trees. This package includes a shiny interface which can be started from R using 'treespaceServer()'.
Depends: R (>= 3.1.2), ape, ade4
Imports: adegenet, adegraphics, adephylo, combinat, compiler, distory, fields, htmlwidgets, MASS, phangorn, Rcpp, RLumShiny, scatterD3, shiny, shinyBS, utils
LinkingTo: Rcpp
Suggests: igraph, RColorBrewer, ggplot2, testthat, knitr, rmarkdown, rgl
License: MIT + file LICENSE
LazyData: true
Collate: RcppExports.R metrics.R medTree.R treespace.R findGroves.R plotGroves.R plotTreeDiff.R servers.R transmissionTrees.R data.R
RoxygenNote: 6.0.1
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2017-03-16 17:00:55 UTC; thibaut
Author: Thibaut Jombart [aut, cre], Michelle Kendall [aut], Jacob Almagro-Garcia [aut], Caroline Colijn [aut]
Repository: CRAN
Date/Publication: 2017-03-17 07:24:30 UTC

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Package textreg updated to version 0.1.4 with previous version 0.1.3 dated 2015-11-11

Title: n-Gram Text Regression, aka Concise Comparative Summarization
Description: Function for sparse regression on raw text, regressing a labeling vector onto a feature space consisting of all possible phrases.
Author: Luke Miratrix
Maintainer: Luke Miratrix <lmiratrix@stat.harvard.edu>

Diff between textreg versions 0.1.3 dated 2015-11-11 and 0.1.4 dated 2017-03-17

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Package SSDforR updated to version 1.4.15 with previous version 1.4.14 dated 2016-05-11

Title: Functions to Analyze Single System Data
Description: Functions to visually and statistically analyze single system data.
Author: Charles Auerbach [aut, cre], Wendy Zeitlin [aut]
Maintainer: Charles Auerbach <auerbach@yu.edu>

Diff between SSDforR versions 1.4.14 dated 2016-05-11 and 1.4.15 dated 2017-03-17

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New package Polychrome with initial version 0.8.2
Package: Polychrome
Title: Qualitative Palettes with Many Colors
Version: 0.8.2
Date: 2017-03-16
Author: Kevin R. Coombes, Guy Brock
Description: Tools for creating, viewing, and assessing qualitative palettes with many (20-30 or more) colors.
Maintainer: Kevin R. Coombes <krc@silicovore.com>
Depends: R (>= 3.0)
Imports: colorspace, rgl, methods, graphics, grDevices, stats, utils
Suggests: RColorBrewer, knitr, rmarkdown
License: Apache License (== 2.0)
LazyLoad: yes
LazyData: no
URL: http://oompa.r-forge.r-project.org/
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2017-03-16 19:07:11 UTC; Kevin
Repository: CRAN
Date/Publication: 2017-03-17 07:24:10 UTC

More information about Polychrome at CRAN
Permanent link

Package MazamaSpatialUtils updated to version 0.4.9 with previous version 0.4.8 dated 2016-11-18

Title: Spatial Data Download and Utility Functions
Description: A suite of conversion scripts to create internally standardized spatial polygons dataframes. Utility scripts use these datasets to return values such as country, state, timezone, watershed, etc. associated with a set of longitude/latitude pairs. (They also make cool maps.)
Author: Jonathan Callahan [aut, cre], Ruby Fore [aut], Will Leahy [aut], Henry Nguyen [aut], Robin Winstanley [aut], Alice Yang [aut]
Maintainer: Jonathan Callahan <jonathan.s.callahan@gmail.com>

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Package markovchain updated to version 0.6.8.1 with previous version 0.6.6 dated 2017-01-23

Title: Easy Handling Discrete Time Markov Chains
Description: Functions and S4 methods to create and manage discrete time Markov chains more easily. In addition functions to perform statistical (fitting and drawing random variates) and probabilistic (analysis of their structural proprieties) analysis are provided.
Author: Giorgio Alfredo Spedicato [aut,cre], Tae Seung Kang [aut], Sai Bhargav Yalamanchi [aut], Mildenberger Thoralf [ctb], Deepak Yadav [ctb]
Maintainer: Giorgio Alfredo Spedicato <spedicato_giorgio@yahoo.it>

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Package furniture updated to version 1.5.0 with previous version 1.4.1 dated 2016-12-13

Title: Furniture for Quantitative Scientists
Description: Contains two main functions (i.e., two pieces of furniture): table1() which produces a well-formatted table of descriptives common as Table 1 in research articles and washer() which is helpful in cleaning up your data. These furniture functions are designed to simplify common tasks in quantitative analysis.
Author: Tyson Barrett [aut, cre], Emily Brignone [aut]
Maintainer: Tyson Barrett <t.barrett@aggiemail.usu.edu>

Diff between furniture versions 1.4.1 dated 2016-12-13 and 1.5.0 dated 2017-03-17

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Package BASS updated to version 0.2.2 with previous version 0.2.0 dated 2017-01-10

Title: Bayesian Adaptive Spline Surfaces
Description: Bayesian fitting and sensitivity analysis methods for adaptive spline surfaces. Built to handle continuous and categorical inputs as well as functional or scalar output. An extension of the methodology in Denison, Mallick and Smith (1998) <doi:10.1023/A:1008824606259>.
Author: Devin Francom [aut, cre], Bruno Sanso [ths], Agner Fog [ctb, cph]
Maintainer: Devin Francom <devinfrancom@gmail.com>

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Package assertr updated to version 2.0.0 with previous version 1.0.2 dated 2016-08-02

Title: Assertive Programming for R Analysis Pipelines
Description: Provides functionality to assert conditions that have to be met so that errors in data used in analysis pipelines can fail quickly. Similar to 'stopifnot()' but more powerful, friendly, and easier for use in pipelines.
Author: Tony Fischetti [aut, cre]
Maintainer: Tony Fischetti <tony.fischetti@gmail.com>

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