Fri, 25 Sep 2015

New package nivm with initial version 0.3
Package: nivm
Type: Package
Title: Noninferiority Tests with Variable Margins
Version: 0.3
Date: 2015-09-25
Author: Michael P. Fay
Maintainer: Michael P. Fay <mfay@niaid.nih.gov>
Depends: stats, bpcp, ssanv
Description: Noninferiority tests for difference in failure rates at a prespecified control rate or prespecified time.
License: GPL (>= 3)
NeedsCompilation: no
Packaged: 2015-09-25 20:32:04 UTC; faym
Repository: CRAN
Date/Publication: 2015-09-26 01:31:34

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Package erp.easy updated to version 0.6.3 with previous version 0.6.2 dated 2015-09-24

Title: Event-Related Potential (ERP) Data Exploration Made Easy
Description: A set of user-friendly functions to aid in organizing, plotting and analyzing event-related potential (ERP) data. Provides an easy-to-learn method to explore ERP data. Should be useful to those without a background in computer programming, and to those who are new to ERPs (or new to the more advanced ERP software available). Emphasis has been placed on highly automated processes using functions with as few arguments as possible. Expects processed (cleaned) data.
Author: Travis Moore [aut, cre]
Maintainer: Travis Moore <travis.m.moore@vanderbilt.edu>

Diff between erp.easy versions 0.6.2 dated 2015-09-24 and 0.6.3 dated 2015-09-25

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New package bWGR with initial version 1.0
Package: bWGR
Type: Package
Title: Bagging Whole-Genome Regression
Version: 1.0
Date: 2015-09-25
Author: Alencar Xavier, William Muir, Katy Rainey.
Maintainer: Alencar Xavier <xaviera@purdue.edu>
Description: Designed for whole-genome regressions using Bayesian models fitted via Gibbs sampling with optional resampling techniques (Bagging and Bootstrapping) and polygenic term with reduced of dimensionality.
License: GPL-3
Imports: Rcpp
LinkingTo: Rcpp
Depends: R (>= 3.0.0)
Packaged: 2015-09-25 20:06:33 UTC; alencar_x
NeedsCompilation: yes
Repository: CRAN
Date/Publication: 2015-09-26 01:26:27

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Package bdots updated to version 0.1.2 with previous version 0.1.1 dated 2015-09-21

Title: Bootstrapped Differences of Time Series
Description: Analyze differences among time series curves with Oleson et al's modified p-value technique.
Author: Michael Seedorff, Jacob Oleson, Grant Brown, Joseph Cavanaugh, and Bob McMurray
Maintainer: Michael Seedorff <michael-seedorff@uiowa.edu>

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New package ProTrackR with initial version 0.1.3
Package: ProTrackR
Type: Package
Title: Manipulate and Play 'ProTracker' Modules
Version: 0.1.3
Date: 2015-09-25
Authors@R: c(person("Pepijn", "de Vries", role =c("aut", "cre", "dtc"), email = "pepijn.devries@outlook.com"))
Author: Pepijn de Vries [aut, cre, dtc]
Maintainer: Pepijn de Vries <pepijn.devries@outlook.com>
Description: 'ProTracker' is a popular music tracker to sequence music on a Commodore Amiga machine. This package offers the opportunity to import, export, manipulate an play 'ProTracker' module files. Even though the file format could be considered archaic, it still remains popular to this date. This package intends to contribute to this popularity and therewith keeping the legacy of 'ProTracker' and the Commodore Amiga alive.
License: GPL-3
LazyData: True
Depends: lattice, tuneR (>= 1.0), audio, seewave
Imports: graphics, methods, utils
NeedsCompilation: no
Packaged: 2015-09-25 21:17:59 UTC; vries171
Repository: CRAN
Date/Publication: 2015-09-26 01:11:29

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Package BCBCSF updated to version 1.0-1 with previous version 1.0-0 dated 2013-01-18

Title: Bias-Corrected Bayesian Classification with Selected Features
Description: Fully Bayesian Classification with a subset of high-dimensional features, such as expression levels of genes. The data are modeled with a hierarchical Bayesian models using heavy-tailed t distributions as priors. When a large number of features are available, one may like to select only a subset of features to use, typically those features strongly correlated with the response in training cases. Such a feature selection procedure is however invalid since the relationship between the response and the features has be exaggerated by feature selection. This package provides a way to avoid this bias and yield better-calibrated predictions for future cases when one uses F-statistic to select features.
Author: Longhai Li <longhai@math.usask.ca>
Maintainer: Longhai Li <longhai@math.usask.ca>

Diff between BCBCSF versions 1.0-0 dated 2013-01-18 and 1.0-1 dated 2015-09-25

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Package timeSeq updated to version 1.0.1 with previous version 1.0.0 dated 2015-04-19

Title: Detecting Differentially Expressed Genes in Time Course RNA-Seq Data
Description: Uses a negative binomial mixed-effects (NBME) model to detect nonparallel differential expression(NPDE) genes and parallel differential expression(PDE) genes in the time course RNA-seq data.
Author: Fan Gao, Xiaoxiao Sun
Maintainer: Fan Gao <fangaohz@gmail.com>

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Package odds.converter updated to version 1.2 with previous version 1.1 dated 2015-06-04

Title: Betting Odds Conversion
Description: Conversion between the most common odds types for sports betting. Hong Kong odds, US odds, Decimal odds, Indonesian odds, Malaysian odds, and raw Probability are covered in this package.
Author: Marco Blume
Maintainer: Marco Blume <marco.blume@pinnaclesports.com>

Diff between odds.converter versions 1.1 dated 2015-06-04 and 1.2 dated 2015-09-25

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Package MVar.pt updated to version 1.5 with previous version 1.4 dated 2015-09-09

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

Diff between MVar.pt versions 1.4 dated 2015-09-09 and 1.5 dated 2015-09-25

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New package KoulMde with initial version 1.0
Package: KoulMde
Title: Koul's Minimum Distance Estimation in Linear Regression and Autoregression Model
Version: 1.0
Authors@R: person("Jiwoong", "Kim", email = "kimjiwo2@stt.msu.edu", role = c("aut", "cre"))
Description: Consider linear regression model and autoregressive model of order p where errors in the linear regression model and innovations in the autoregression model are independent and symmetrically distributed. Hira L. Koul proposed a nonparametric minimum distance estimation method by minimizing L2-type distance between certain weighted residual empirical distribution functions. He also proposed a simpler version of the loss function by using symmetry of the integrating measure in the distance. This package contains two functions: KoulLrMde() and KoulArMde(). KoulLrMde() and KoulArMde() provide minimum distance estimators for linear regression model and autoregression model, respectively, where both are based on Koul's method. These two functions take much less time for the computation than those based on parametric minimum distance estimation methods.
Depends: R (>= 3.2.2)
License: GPL-2
LazyData: true
NeedsCompilation: no
Packaged: 2015-09-25 16:35:44 UTC; Jason
Author: Jiwoong Kim [aut, cre]
Maintainer: Jiwoong Kim <kimjiwo2@stt.msu.edu>
Repository: CRAN
Date/Publication: 2015-09-25 20:33:27

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Package kdecopula updated to version 0.2.0 with previous version 0.1.0 dated 2015-09-10

Title: Kernel Smoothing for Bivariate Copula Densities
Description: Provides fast implementations of kernel smoothing techniques for bivariate copula densities, in particular density estimation and resampling.
Author: Thomas Nagler [aut, cre]
Maintainer: Thomas Nagler <thomas.nagler@tum.de>

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Package webchem updated to version 0.0.3 with previous version 0.0.2 dated 2015-08-14

Title: Chemical Information from the Web
Description: Chemical information from around the web. This package interacts with a suite of web APIs for chemical information.
Author: Eduard Szoecs [aut, cre], Daniel Muench [ctb], Johannes Ranke [ctb]
Maintainer: Eduard Szoecs <eduardszoecs@gmail.com>

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Package cardioModel updated to version 1.1 with previous version 1.0 dated 2015-09-24

Title: Cardiovascular Safety Exposure-Response Modeling in Early-Phase Clinical Studies
Description: Includes 100 mixed-effects model structures describing the relationship between drug concentration and QT interval, heart rate/pulse rate or blood pressure. Given an exposure-response dataset, the tool fits each model structure to the observed data.
Author: Daniela J Conrado [aut, cre], William S Denney [aut], Gregory J Hather [aut], Danny Chen [ctb]
Maintainer: Daniela J Conrado <danielac@metrumrg.com>

Diff between cardioModel versions 1.0 dated 2015-09-24 and 1.1 dated 2015-09-25

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Package vegan updated to version 2.3-1 with previous version 2.3-0 dated 2015-05-26

Title: Community Ecology Package
Description: Ordination methods, diversity analysis and other functions for community and vegetation ecologists.
Author: Jari Oksanen, F. Guillaume Blanchet, Roeland Kindt, Pierre Legendre, Peter R. Minchin, R. B. O'Hara, Gavin L. Simpson, Peter Solymos, M. Henry H. Stevens, Helene Wagner
Maintainer: Jari Oksanen <jari.oksanen@oulu.fi>

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New package STAND with initial version 2.0
Package: STAND
Type: Package
Title: Statistical Analysis of Non-Detects
Version: 2.0
Date: 2015-09-10
Author: E. L. Frome <fromeEL@ornl.gov> and D. P. Frome
Maintainer: E. P. Adams <eric.adams@orau.org>
Description: Provides functions for the analysis of occupational and environmental data with non-detects. Maximum likelihood (ML) methods for censored log-normal data and non-parametric methods based on the product limit estimate (PLE) for left censored data are used to calculate all of the statistics recommended by the American Industrial Hygiene Association (AIHA) for the complete data case. Functions for the analysis of complete samples using exact methods are also provided for the lognormal model. Revised from 2007-11-05 'survfit~1'.
License: GPL (>= 2)
URL: http://www.csm.ornl.gov/esh/statoed/
Depends: survival
NeedsCompilation: no
Packaged: 2015-09-25 14:20:17 UTC; AdminEA
Repository: CRAN
Date/Publication: 2015-09-25 17:03:51

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Package archivist updated to version 1.7 with previous version 1.6 dated 2015-08-15

Title: Tools for Storing, Restoring and Searching for R Objects
Description: Data exploration and modelling is a process in which a lot of data artifacts are produced. Artifacts like: subsets, data aggregates, plots, statistical models, different versions of data sets and different versions of results. The more projects we work with the more artifacts are produced and the harder it is to manage these artifacts. Archivist helps to store and manage artifacts created in R. Archivist allows you to store selected artifacts as a binary files together with their metadata and relations. Archivist allows to share artifacts with others, either through shared folder or github. Archivist allows to look for already created artifacts by using it's class, name, date of the creation or other properties. Makes it easy to restore such artifacts. Archivist allows to check if new artifact is the exact copy that was produced some time ago. That might be useful either for testing or caching.
Author: Przemyslaw Biecek [aut, cre], Marcin Kosinski [aut]
Maintainer: Przemyslaw Biecek <przemyslaw.biecek@gmail.com>

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New package TP.idm with initial version 1.0
Package: TP.idm
Type: Package
Title: Estimation of Transition Probabilities for the Illness-Death Model
Version: 1.0
Date: 2015-09-25
Author: Vanesa Balboa-Barreiro, Jacobo de Una-Alvarez <jacobo@uvigo.es> and Luis Meira-Machado >lmachado@math.uminho.pt>
Maintainer: Vanesa Balboa-Barreiro <vanesa.balboa@uvigo.es>
Depends: R (>= 3.1.1), graphics, stats
Repository: CRAN
Description: Estimation of transition probabilities for the illness-death model. Both the Aalen-Johansen estimator for a Markov model and a novel non-Markovian estimator (de Una-Alvarez and Meira-Machado, 2015) are included.
License: GPL-2
NeedsCompilation: yes
Packaged: 2015-09-25 11:58:51 UTC; usuario
Date/Publication: 2015-09-25 14:56:36

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Permanent link

Package Skillings.Mack updated to version 1.10 with previous version 1.0-2 dated 2013-09-17

Title: The Skillings-Mack Test Statistic for Block Designs with Missing Observations
Description: A generalization of the statistic used in Friedman's ANOVA method and in Durbin's rank test. This nonparametric statistical test is useful for the data obtained from block designs with missing observations occurring randomly. A resulting p-value is based on the chi-squared distribution and Monte Carlo method.
Author: Patchanok Srisuradetchai
Maintainer: Patchanok Srisuradetchai <s.patchanok@gmail.com>

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Package qdapTools updated to version 1.3.1 with previous version 1.1.0 dated 2014-12-21

Title: Tools for the 'qdap' Package
Description: A collection of tools associated with the 'qdap' package that may be useful outside of the context of text analysis.
Author: Bryan Goodrich [ctb], Dason Kurkiewicz [ctb], Kirill Muller [ctb], Tyler Rinker [aut, cre]
Maintainer: Tyler Rinker <tyler.rinker@gmail.com>

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Package pegas updated to version 0.8-2 with previous version 0.8-1 dated 2015-06-24

Title: Population and Evolutionary Genetics Analysis System
Description: Functions for reading, writing, plotting, analysing, and manipulating allelic and haplotypic data, and for the analysis of population nucleotide sequences and micro-satellites including coalescence analyses.
Author: Emmanuel Paradis [aut, cre, cph], Thibaut Jombart [aut, cph], Klaus Schliep [aut, cph], Alastair Potts [aut, cph], David Winter [aut, cph]
Maintainer: Emmanuel Paradis <Emmanuel.Paradis@ird.fr>

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Package opencpu updated to version 1.5.1 with previous version 1.4.6 dated 2015-01-31

Title: A System for Embedded Scientific Computing and Reproducible Research with R
Description: The OpenCPU system exposes an HTTP API for embedded scientific computing with R. This provides scalable foundations for integrating R based analysis and visualization modules into pipelines, web applications or big data infrastructures. The OpenCPU server can run either as a single-user development server within the interactive R session, or as a high performance multi-user cloud server that builds on Linux, Nginx and rApache. The current R package forms the core of the system. When loaded in R, it automatically initiates the single-user server and displays the web address in the console. Visit the OpenCPU website for detailed information and documentation on the API.
Author: Jeroen Ooms
Maintainer: Jeroen Ooms <jeroen.ooms@stat.ucla.edu>

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Package neotoma updated to version 1.4.0 with previous version 1.3.3 dated 2015-08-22

Title: Access to the Neotoma Paleoecological Database Through R
Description: Access paleoecological datasets from the Neotoma Paleoecological Database using the published API (http://api.neotomadb.org/). The functions in this package access various pre-built API functions and attempt to return the results from Neotoma in a usable format for researchers and the public.
Author: Simon J. Goring [aut, cre], Gavin L. Simpson [aut], Jeremiah P. Marsicek [ctb], Karthik Ram [aut], Luke Sosalla [ctb]
Maintainer: Simon J. Goring <goring@wisc.edu>

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Package nanop updated to version 2.0-6 with previous version 2.0-5 dated 2015-04-07

Title: Tools for Nanoparticle Simulation and Calculation of PDF and Total Scattering Structure Function
Description: This software package implements functions to simulate spherical, ellipsoid and cubic polyatomic nanoparticles with arbitrary crystal structures and to calculate the associated pair-distribution function and X-ray/neutron total-scattering signals. It also provides a target function that can be used for simultaneous fitting of small- and wide-angle total scattering data in real and reciprocal spaces. The target function can be generated either as a sum of weighted residuals for individual datasets or as a vector of residuals suitable for optimization using multi-criteria algorithms (e.g. Pareto methods).
Author: Anton Gagin, Katharine Mullen, Igor Levin
Maintainer: Anton Gagin <av.gagin@gmail.com>

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Package multiwayvcov updated to version 1.2.2 with previous version 1.2.1 dated 2014-10-20

Title: Multi-way Standard Error Clustering
Description: Exports two functions implementing multi-way clustering using the method suggested by Cameron, Gelbach, & Miller (2011) and cluster (or block) bootstrapping for estimating variance-covariance matrices. Normal one and two-way clustering matches the results of other common statistical packages. Missing values are handled transparently and rudimentary parallelization support is provided.
Author: Nathaniel Graham and Mahmood Arai and Björn Hagströmer
Maintainer: Nathaniel Graham <npgraham1@gmail.com>

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Package mmeln updated to version 1.2 with previous version 1.1 dated 2013-02-11

Title: Estimation of Multinormal Mixture Distribution
Description: Fit multivariate mixture of normal distribution using covariance structure.
Author: Charles-Edouard Giguere
Maintainer: Charles-Edouard Giguere <ce.giguere@gmail.ca>

Diff between mmeln versions 1.1 dated 2013-02-11 and 1.2 dated 2015-09-25

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Package mads updated to version 0.1.3 with previous version 0.1.2 dated 2015-02-27

Title: Multi-Analysis Distance Sampling
Description: Performs distance sampling analyses on a number of species accounting for unidentified sightings, model uncertainty and covariate uncertainty.
Author: Laura Marshall
Maintainer: Laura Marshall <lhm@st-and.ac.uk>

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Package joint.Cox updated to version 2.1 with previous version 2.0 dated 2015-06-18

Title: Penalized Likelihood Estimation and Prediction under the Joint Cox Models Between Tumour Progression and Death for Meta-Analysis
Description: Perform regression analyses under the joint Cox proportional hazards model between tumour progression and death for meta-analysis. The method is applicable for meta-analysis combining several studies or for cluster survival data.
Author: Takeshi Emura
Maintainer: Takeshi Emura <takeshiemura@gmail.com>

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Package hisse updated to version 1.2 with previous version 1.1 dated 2015-06-16

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 DSsim updated to version 1.0.4 with previous version 1.0.3 dated 2015-02-27

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 pre-generated using Distance software) 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>

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Package boral updated to version 0.9.1 with previous version 0.9 dated 2015-08-22

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

Diff between boral versions 0.9 dated 2015-08-22 and 0.9.1 dated 2015-09-25

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Package xergm updated to version 1.5.3 with previous version 1.5 dated 2015-06-14

Title: Extensions of Exponential Random Graph Models
Description: Extensions of Exponential Random Graph Models (ERGM): Temporal Exponential Random Graph Models (TERGM), Generalized Exponential Random Graph Models (GERGM), Temporal Network Autocorrelation Models (TNAM), and Relational Event Models (REM).
Author: Philip Leifeld [aut, cre], Skyler J. Cranmer [aut], Bruce A. Desmarais [aut]
Maintainer: Philip Leifeld <philip.leifeld@eawag.ch>

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Package phytools updated to version 0.5-00 with previous version 0.4-60 dated 2015-07-10

Title: Phylogenetic Tools for Comparative Biology (and Other Things)
Description: Package contains various functions for phylogenetic analysis. This functionality is concentrated in the phylogenetic analysis of comparative data from species. For example, the package includes functions for Bayesian and ML ancestral state estimation; visual simulation of trait evolution; fitting models of trait evolution with multiple Brownian rates and correlations; visualizing discrete and continuous character evolution using colors or projections into trait space; identifying the location of a change in the rate of character evolution on the tree; fast Brownian motion simulation and simulation under several other models of continuous trait evolution; fitting a model of correlated binary trait evolution; locating the position of a fossil or an recently extinct lineage on a tree using continuous character data with ML; plotting lineage accumulation through time, including across multiple trees (such as a Bayesian posterior sample); conducting an analysis called stochastic character mapping, in which character histories for a discrete trait are sampled from their posterior probability distribution under a model; conducting a multiple (i.e., partial) Mantel test; fitting a phylogenetic regression model with error in predictor and response variables; conducting a phylogenetic principal components analysis, a phylogenetic regression, a reduced major axis regression, a phylogenetic canonical correlation analysis, and a phylogenetic ANOVA; projecting a tree onto a geographic map; simulating discrete character histories on the tree; and fitting a model in which a discrete character evolves under the threshold model. In addition to this phylogenetic comparative method functionality, the package also contains functions for a wide range of other purposes in phylogenetic biology. For instance, functionality in this package includes (but is not restricted to): adding taxa to a tree (including randomly, everywhere, or automatically to genera); generating all bi- and multi-furcating trees for a set of taxa; reducing a phylogeny to its backbone tree; dropping tips or adding tips to special types of phylogenetic trees; exporting a tree as an XML file; converting a tree with a mapped character to a tree with singleton nodes and one character state per edge; estimating a phylogeny using the least squares method; simulating birth-death trees under a range of conditions; rerooting trees; a wide range of visualizations of trees; and a variety of other manipulations and analyses that phylogenetic biologists may find useful for their research.
Author: Liam J. Revell
Maintainer: Liam J. Revell <liam.revell@umb.edu>

Diff between phytools versions 0.4-60 dated 2015-07-10 and 0.5-00 dated 2015-09-25

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New package polyfreqs with initial version 1.0.0
Package: polyfreqs
Title: Bayesian Population Genomics in Autopolyploids
Version: 1.0.0
Authors@R: person("Paul", "Blischak", , "blischak.4@osu.edu", c("aut", "cre"))
Description: Implements a Gibbs sampling algorithm to perform Bayesian inference on biallelic SNP frequencies, genotypes and heterozygosity (observed and expected) in a population of autopolyploids.
Depends: R (>= 3.0)
License: GPL (>= 2)
LazyData: true
Imports: Rcpp
LinkingTo: Rcpp, RcppArmadillo
Suggests: knitr, coda
VignetteBuilder: knitr
URL: http://pblischak.github.io/polyfreqs/, https://github.com/pblischak/polyfreqs
BugReports: https://github.com/pblischak/polyfreqs/issues
NeedsCompilation: yes
Packaged: 2015-09-24 22:19:50 UTC; paulblischak
Author: Paul Blischak [aut, cre]
Maintainer: Paul Blischak <blischak.4@osu.edu>
Repository: CRAN
Date/Publication: 2015-09-25 09:04:08

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New package MANCIE with initial version 1.2
Package: MANCIE
Type: Package
Title: Matrix Analysis and Normalization by Concordant Information Enhancement
Version: 1.2
Date: 2015-9-24
Author: Tao Wang, Chongzhi Zang
Maintainer: Tao Wang <tao.wang@utsouthwestern.edu>
Depends: R (>= 2.15.0)
Description: High-dimensional data integration is a critical but difficult problem in genomics research because of potential biases from high-throughput experiments. We present MANCIE, a computational method for integrating two genomic data sets with homogenous dimensions from different sources based on a PCA procedure as an approximation to a Bayesian approach.
License: GPL-2
Packaged: 2015-09-24 14:26:43 UTC; twang6
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2015-09-25 08:39:06

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Package sads updated to version 0.2.3 with previous version 0.2.2 dated 2015-07-11

Title: Maximum Likelihood Models for Species Abundance Distributions
Description: Maximum likelihood tools to fit and compare models of species abundance distributions and of species rank-abundance distributions.
Author: Paulo I. Prado, Murilo Dantas Miranda and Andre Chalom
Maintainer: Paulo I. Prado <prado@ib.usp.br>

Diff between sads versions 0.2.2 dated 2015-07-11 and 0.2.3 dated 2015-09-25

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Package pomp updated to version 1.2.1.1 with previous version 1.1.1.1 dated 2015-08-20

Title: Statistical Inference for Partially Observed Markov Processes
Description: Tools for working with partially observed Markov processes (POMPs, AKA stochastic dynamical systems, state-space models). 'pomp' provides facilities for implementing POMP models, simulating them, and fitting them to time series data by a variety of frequentist and Bayesian methods. It is also a platform for the implementation of new inference methods.
Author: Aaron A. King [aut, cre], Edward L. Ionides [aut], Carles Breto [aut], Stephen P. Ellner [ctb], Matthew J. Ferrari [ctb], Bruce E. Kendall [ctb], Michael Lavine [ctb], Dao Nguyen [ctb], Daniel C. Reuman [ctb], Helen Wearing [ctb], Simon N. Wood [ctb], Sebastian Funk [ctb]
Maintainer: Aaron A. King <kingaa@umich.edu>

Diff between pomp versions 1.1.1.1 dated 2015-08-20 and 1.2.1.1 dated 2015-09-25

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