Sun, 22 Nov 2015

Package isoph updated to version 0.4 with previous version 0.3 dated 2015-11-17

Title: Isotonic Proportional Hazards Model
Description: Nonparametric estimation of an isotonic covariate effect for Cox's partial likelihood.
Author: Yunro Chung [cre], Anastasia Ivanova, Michael G. Hudgens and Jason P. Fine
Maintainer: Yunro Chung <yunro@live.unc.edu>

Diff between isoph versions 0.3 dated 2015-11-17 and 0.4 dated 2015-11-22

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New package PKNCA with initial version 0.6
Package: PKNCA
Type: Package
Title: Perform Pharmacokinetic Non-Compartmental Analysis
Version: 0.6
Date: 2015-11-19
Author: Bill Denney <bill@denney.ws>, Clare Buckeridge <clare.buckeridge@pfizer.com>
Maintainer: Bill Denney <bill@denney.ws>
Imports: digest, doBy, plyr, nlme, parallel, lattice, stats, utils
Suggests: testthat
Description: Compute standard Non-Compartmental Analysis (NCA) parameters and summarize them. In addition to this core work, it also provides standardized plotting routines, basic assessments for biocomparison or drug interaction, and model-based estimation routines for calculating doses to reach specific values of AUC or Cmax.
License: AGPL-3
Acknowledgement: Sridhar Duvvuri for significant help
NeedsCompilation: no
RoxygenNote: 5.0.0
Packaged: 2015-11-22 13:38:33 UTC; Bill Denney
Repository: CRAN
Date/Publication: 2015-11-22 15:50:53

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Package diveRsity updated to version 1.9.89 with previous version 1.9.73 dated 2014-12-22

Title: A Comprehensive, General Purpose Population Genetics Analysis Package
Description: Allows the calculation of both genetic diversity partition statistics, genetic differentiation statistics, and locus informativeness for ancestry assignment. It also provides users with various option to calculate bootstrapped 95\% confidence intervals both across loci, for pairwise population comparisons, and to plot these results interactively. Parallel computing capabilities and pairwise results without bootstrapping are provided. Weir and Cockerham's 1984 F-statistics are also calculated. Various plotting features are also provided, as well as Chi-square tests of genetic heterogeneity are also provided. Functionality for the calculation of various diversity parameters is possible for RAD-seq derived SNP data sets containing thousands of marker loci. A shiny application for the development of microsatellite multiplexes is also available.
Author: Kevin Keenan <kkeenan02@qub.ac.uk>
Maintainer: Kevin Keenan <kkeenan02@qub.ac.uk>

Diff between diveRsity versions 1.9.73 dated 2014-12-22 and 1.9.89 dated 2015-11-22

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Package MCAvariants (with last version 1.0) was removed from CRAN

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

2014-07-07 1.0

Permanent link
New package tracheideR with initial version 0.1.1
Package: tracheideR
Type: Package
Title: Standardize Tracheidograms
Version: 0.1.1
Date: 2015-11-20
Author: Filipe Campelo
Maintainer: Filipe Campelo <fcampelo@uc.pt>
Description: Contains functions to standardize tracheid profiles using the traditional method (Vaganov) and a new method to standardize tracheidograms based on the relative position of tracheids within tree rings.
Depends: R (>= 3.1.1)
Imports: tgram (>= 0.2-2)
License: GPL (>= 2)
LazyData: TRUE
RoxygenNote: 5.0.1
Packaged: 2015-11-21 17:29:35 UTC; Dendrologia
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2015-11-22 11:48:37

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Package ResourceSelection updated to version 0.2-5 with previous version 0.2-4 dated 2014-05-20

Title: Resource Selection (Probability) Functions for Use-Availability Data
Description: Resource Selection (Probability) Functions for use-availability wildlife data as described in Lele and Keim (2006, Ecology 87, 3021--3028), and Lele (2009, J. Wildlife Management 73, 122--127).
Author: Subhash R. Lele, Jonah L. Keim, Peter Solymos
Maintainer: Peter Solymos <solymos@ualberta.ca>

Diff between ResourceSelection versions 0.2-4 dated 2014-05-20 and 0.2-5 dated 2015-11-22

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Package rcbalance updated to version 1.7.5 with previous version 1.7.4 dated 2015-11-15

Title: Large, Sparse Optimal Matching with Refined Covariate Balance
Description: Tools for large, sparse optimal matching of treated units and control units in observational studies. Provisions are made for refined covariate balance constraints, which include fine and near-fine balance as special cases. Matches are optimal in the sense that they are computed as solutions to network optimization problems rather than greedy algorithms.
Author: Samuel D. Pimentel
Maintainer: Samuel D. Pimentel <spi@wharton.upenn.edu>

Diff between rcbalance versions 1.7.4 dated 2015-11-15 and 1.7.5 dated 2015-11-22

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New package radiomics with initial version 0.1.0
Package: radiomics
Type: Package
Title: Radiomic Image Processing Toolbox
Version: 0.1.0
Date: 2015-11-22
Author: Joel Carlson
Maintainer: Joel Carlson <jnkcarlson@gmail.com>
Description: Functions to extract first and second order statistics from images.
License: MIT + file LICENSE
Depends: R (>= 2.10)
Imports: spatstat, reshape2, methods,
Suggests: testthat, knitr, viridis, devtools
LazyData: true
VignetteBuilder: knitr
Collate: 'GLSZM.R' 'MGLSZM.R' 'GLRLM.R' 'GLCM.R' 'CalculateFeatures.R' 'FirstOrder.R' 'GLCMFeatures.R' 'GLRLMFeatures.R' 'GLSZMFeatures.R' 'ImageQuantize.R' 'data.R' 'image.R' 'radiomics.R'
NeedsCompilation: no
Packaged: 2015-11-22 09:32:25 UTC; joel
Repository: CRAN
Date/Publication: 2015-11-22 11:48:34

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Package prepdat updated to version 1.0.4 with previous version 1.0.3 dated 2015-10-22

Title: Preparing Experimental Data for Statistical Analysis
Description: Prepares data collected in an experimental design for statistical analysis (e.g., analysis of variance ;ANOVA) by taking the individual data files and preparing one table that contains several possibilities for dependent variables. Most suitable when measuring reaction-times and/or accuracy, or any other variable in an interval or ratio scale. Functions included: file_merge(), read_data() and prep(). The file_merge() function vertically merges individual data files (in a long format) in which each line is a single trial within the experiment to one single dataset. The read_data() function reads a file in a txt or csv format that contains a single dataset in a long format table and creates a data frame from it. The prep() function aggregates the single dataset according to any combination of between and within grouping variables (i.e., between-subjects and within-subjects independent variables, respectively), and returns a data frame with a number of dependent measures for further analysis for each experimental cell according to the combination of provided grouping variables. Dependent measures for each experimental cell include among others means before and after rejecting all values according to a flexible standard deviation criterion/s, number of rejected values according to the flexible standard deviation criterion/s, proportions of rejected values according to the flexible standard deviation criterion/s, number of values before rejection, means after rejecting values according to procedures described in Van Selst & Jolicoeur (1994) (suitable when measuring reaction-times), standard deviations, medians, means according to any percentile (e.g., 0.05, 0.25, 0.75, 0.95) and harmonic means. The data frame prep() returns can also be exported as a txt file to be used for statistical analysis in other statistical programs.
Author: Ayala S. Allon [aut, cre], Roy Luria [aut], Jim Grange [ctb], Nachshon Meiran [ctb]
Maintainer: Ayala S. Allon <ayalaallon@gmail.com>

Diff between prepdat versions 1.0.3 dated 2015-10-22 and 1.0.4 dated 2015-11-22

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Package pbapply updated to version 1.1-2 with previous version 1.1-1 dated 2014-05-16

Title: Adding Progress Bar to '*apply' Functions
Description: A lightweight package that adds progress bar to vectorized R functions ('*apply'). The implementation can easily be added to functions, where showing the progress is useful for the user (e.g. bootstrap).
Author: Peter Solymos
Maintainer: Peter Solymos <solymos@ualberta.ca>

Diff between pbapply versions 1.1-1 dated 2014-05-16 and 1.1-2 dated 2015-11-22

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New package ordinalNet with initial version 1.1
Package: ordinalNet
Type: Package
Title: Penalized Ordinal Regression
Version: 1.1
Date: 2015-11-21
Authors@R: person("Mike", "Wurm", email = "wurm@wisc.edu", role = c("aut", "cre"))
Description: Fits ordinal regression models with elastic net penalty. Supported models include cumulative logit, probit, cauchit, and complementary log-log. The algorithm uses Fisher Scoring with Coordinate Descent updates.
LazyData: TRUE
License: MIT + file LICENSE
Imports: stats
Suggests: testthat, MASS, glmnet, penalized, ordinalgmifs, nnet
NeedsCompilation: no
Packaged: 2015-11-21 17:44:31 UTC; mike
Author: Mike Wurm [aut, cre]
Maintainer: Mike Wurm <wurm@wisc.edu>
Repository: CRAN
Date/Publication: 2015-11-22 11:48:29

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Package mpath updated to version 0.1-20 with previous version 0.1-19 dated 2015-07-23

Title: Regularized Linear Models
Description: Algorithms for fitting model-based penalized coefficient paths. Currently the models include penalized Poisson, negative binomial, zero-inflated Poisson and zero-inflated negative binomial regression models. The penalties include least absolute shrinkage and selection operator (LASSO), smoothly clipped absolute deviation (SCAD) and minimax concave penalty (MCP), and each possibly combining with L_2 penalty.
Author: Zhu Wang, with contributions from Achim Zeileis, Simon Jackman, Brian Ripley, Trevor Hastie, Rob Tibshirani, Balasubramanian Narasimhan, Gil Chu and Patrick Breheny
Maintainer: Zhu Wang <zwang@connecticutchildrens.org>

Diff between mpath versions 0.1-19 dated 2015-07-23 and 0.1-20 dated 2015-11-22

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Package miceadds updated to version 1.5-0 with previous version 1.4-0 dated 2015-11-04

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, and two-way imputation.
Author: Alexander Robitzsch [aut, cre]
Maintainer: Alexander Robitzsch <robitzsch@ipn.uni-kiel.de>

Diff between miceadds versions 1.4-0 dated 2015-11-04 and 1.5-0 dated 2015-11-22

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Package mefa4 updated to version 0.3-2 with previous version 0.3-1 dated 2014-05-16

Title: Multivariate Data Handling with S4 Classes and Sparse Matrices
Description: An S4 update of the 'mefa' package using sparse matrices for enhanced efficiency. Sparse array-like objects are supported via lists of sparse matrices.
Author: Peter Solymos
Maintainer: Peter Solymos <solymos@ualberta.ca>

Diff between mefa4 versions 0.3-1 dated 2014-05-16 and 0.3-2 dated 2015-11-22

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Package mefa updated to version 3.2-6 with previous version 3.2-5 dated 2013-12-03

Title: Multivariate Data Handling in Ecology and Biogeography
Description: A framework package aimed to provide standardized computational environment for specialist work via object classes to represent the data coded by samples, taxa and segments (i.e. subpopulations, repeated measures). It supports easy processing of the data along with cross tabulation and relational data tables for samples and taxa. An object of class `mefa' is a project specific compendium of the data and can be easily used in further analyses. Methods are provided for extraction, aggregation, conversion, plotting, summary and reporting of `mefa' objects. Reports can be generated in plain text or LaTeX format. Vignette contains worked examples.
Author: Peter Solymos
Maintainer: Peter Solymos <solymos@ualberta.ca>

Diff between mefa versions 3.2-5 dated 2013-12-03 and 3.2-6 dated 2015-11-22

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Package llama updated to version 0.9 with previous version 0.8.1 dated 2015-02-03

Title: Leveraging Learning to Automatically Manage Algorithms
Description: Provides functionality to train and evaluate algorithm selection models for portfolios.
Author: Lars Kotthoff [aut,cre], Bernd Bischl [aut], Barry Hurley [ctb], Talal Rahwan [ctb]
Maintainer: Lars Kotthoff <larsko@cs.ubc.ca>

Diff between llama versions 0.8.1 dated 2015-02-03 and 0.9 dated 2015-11-22

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Package lda updated to version 1.4.2 with previous version 1.3.2 dated 2012-10-14

Title: Collapsed Gibbs Sampling Methods for Topic Models
Description: Implements latent Dirichlet allocation (LDA) and related models. This includes (but is not limited to) sLDA, corrLDA, and the mixed-membership stochastic blockmodel. Inference for all of these models is implemented via a fast collapsed Gibbs sampler written in C. Utility functions for reading/writing data typically used in topic models, as well as tools for examining posterior distributions are also included.
Author: Jonathan Chang
Maintainer: Jonathan Chang <slycoder@gmail.com>

Diff between lda versions 1.3.2 dated 2012-10-14 and 1.4.2 dated 2015-11-22

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 47 files changed, 773 insertions(+), 655 deletions(-)

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New package labelrank with initial version 0.1
Package: labelrank
Type: Package
Title: Predicting Rankings of Labels
Version: 0.1
Date: 2015-11-20
Depends: R (>= 2.10)
Imports: pdist
Authors@R: c( person("Artur", "Aiguzhinov", email = "aiguzhinov@gmail.com", role = "cre"), person("Carlos", "Soares", email = "csoares@fe.up.pt", role = "aut"))
Description: An implementation of distance-based ranking algorithms to predict rankings of labels. Two common algorithms are included: the naive Bayes and the nearest neighbor algorithms.
Suggests: knitr
VignetteBuilder: knitr
RoxygenNote: 5.0.1
LazyData: true
License: GPL-3
NeedsCompilation: no
Packaged: 2015-11-21 18:49:28 UTC; artur-imac
Author: Artur Aiguzhinov [cre], Carlos Soares [aut]
Maintainer: Artur Aiguzhinov <aiguzhinov@gmail.com>
Repository: CRAN
Date/Publication: 2015-11-22 11:48:10

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New package diffr with initial version 0.0.1
Package: diffr
Title: Display Differences Between Two Files using Codediff Library
Version: 0.0.1
Authors@R: person("John", "Muschelli", email = "muschellij2@gmail.com", role = c("aut", "cre"))
Description: An R interface to the 'codediff' JavaScript library (a copy of which is included in the package). Allows for visualization of the difference between 2 files, usually text files or R scripts, in a browser.
Depends: R (>= 3.0)
Imports: htmlwidgets
License: GPL-2
LazyData: true
RoxygenNote: 5.0.0
Suggests: shiny
BugReports: https://github.com/muschellij2/diffr/issues
URL: https://github.com/danvk/codediff.js
NeedsCompilation: no
Packaged: 2015-11-21 20:14:09 UTC; johnmuschelli
Author: John Muschelli [aut, cre]
Maintainer: John Muschelli <muschellij2@gmail.com>
Repository: CRAN
Date/Publication: 2015-11-22 11:48:09

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Package ade4 updated to version 1.7-3 with previous version 1.7-2 dated 2015-04-14

Title: Analysis of Ecological Data : Exploratory and Euclidean Methods in Environmental Sciences
Description: Multivariate data analysis and graphical display.
Author: Stéphane Dray <stephane.dray@univ-lyon1.fr>, Anne-Béatrice Dufour <anne-beatrice.dufour@univ-lyon1.fr>, and Jean Thioulouse <jean.thioulouse@univ-lyon1.fr>, with contributions from Thibaut Jombart, Sandrine Pavoine, Jean R. Lobry, Sébastien Ollier, and Aurélie Siberchicot. Based on earlier work by Daniel Chessel.
Maintainer: Aurélie Siberchicot <aurelie.siberchicot@univ-lyon1.fr>

Diff between ade4 versions 1.7-2 dated 2015-04-14 and 1.7-3 dated 2015-11-22

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