Sun, 09 Jun 2013

New package TreePar with initial version 2.5
Package: TreePar
Type: Package
Title: Estimating birth and death rates based on phylogenies
Version: 2.5
Date: 2013-05-07
Author: Tanja Stadler
Maintainer: Tanja Stadler
Depends: ape, Matrix, subplex, TreeSim (>= 1.6), deSolve
Description: (i) For a given species phylogeny on present day data which is calibrated to calendar-time, a method for estimating maximum likelihood speciation and extinction processes is provided. The method allows for non-constant rates. Rates may change (1) as a function of time, i.e. rate shifts at specified times or mass extinction events (implemented as bd.shifts.optim and visualized as bd.shifts.plot) or (2) as a function of the number of species, i.e. density-dependence (implemented as bd.densdep.optim). Note that the method takes into account the whole phylogeny, in particular it accounts for the "pull of the present" effect. Both models can take into account incomplete species sampling, as long as each species has the same probability of being sampled. For a given phylogeny on higher taxa (i.e. all but one species per taxa are mission), but where the number of species is known within each higher taxa, speciation and extinction rates can be estimated under model (1) (implemented as bd.shifts.optim with groups !=0). (ii) For a given phylogeny with sequentially sampled tips, e.g. a virus phylogeny, rates can be estimated under a model where rates vary across time using bdsky.stt.optim (extending bd.shifts.optim). Furthermore rates may vary as a function of host types using bdtypes.stt.lik (multitype branching process extending functions in R package diversitree).
License: GPL-2
LazyLoad: yes
Packaged: 2013-06-09 16:28:20 UTC; tanja
NeedsCompilation: no
X-CRAN-Comment: This was archived on 2013-05-20 since the author did not update after request from the odesolve maintainer for the announced odesolve archival
Repository: CRAN
Date/Publication: 2013-06-09 19:39:33

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Package MNP updated to version 2.6-4 with previous version 2.6-3 dated 2011-12-07

Title: R Package for Fitting the Multinomial Probit Model
Description: MNP is a publicly available R package that fits the Bayesian multinomial probit model via Markov chain Monte Carlo. The multinomial probit model is often used to analyze the discrete choices made by individuals recorded in survey data. Examples where the multinomial probit model may be useful include the analysis of product choice by consumers in market research and the analysis of candidate or party choice by voters in electoral studies. The MNP software can also fit the model with different choice sets for each individual, and complete or partial individual choice orderings of the available alternatives from the choice set. The estimation is based on the efficient marginal data augmentation algorithm that is developed by Imai and van Dyk (2005). ``A Bayesian Analysis of the Multinomial Probit Model Using the Data Augmentation,'' Journal of Econometrics, Vol. 124, No. 2 (February), pp. 311-334. Detailed examples are given in Imai and van Dyk (2005). ``MNP: R Package for Fitting the Multinomial Probit Model.'' Journal of Statistical Software, Vol. 14, No. 3 (May), pp. 1-32.
Author: Kosuke Imai , David A. van Dyk .
Maintainer: Kosuke Imai

Diff between MNP versions 2.6-3 dated 2011-12-07 and 2.6-4 dated 2013-06-09

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Package xts updated to version 0.9-4 with previous version 0.9-3 dated 2013-01-20

Title: eXtensible Time Series
Description: Provide for uniform handling of R's different time-based data classes by extending zoo, maximizing native format information preservation and allowing for user level customization and extension, while simplifying cross-class interoperability.
Author: Jeffrey A. Ryan, Joshua M. Ulrich
Maintainer: Jeffrey A. Ryan

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Package TreeSim updated to version 1.9 with previous version 1.8 dated 2013-04-16

Title: Simulating trees under the birth-death model
Description: The package simulates phylogenetic trees where (i) all tips are sampled at one time point or (ii) tips are sampled sequentially through time. (i) For sampling at one time point, simulations are performed under a constant-rate birth-death process, conditioned on having a fixed number of final tips (sim.bd.taxa), or a fixed age (sim.bd.age), or a fixed age and number of tips (sim.bd.taxa.age). When conditioning on the number of final tips, the method allows for shifts in rates and mass extinction events during the birth-death process (sim.rateshift.taxa).sim.bd.age (and sim.rateshift.taxa without extinction) allow the speciation rate to change in a density-dependent way. The LTT plots of the simulations can be displayed using LTT.plot, LTT.plot.gen and LTT.average.root. TreeSim further samples appropriately trees with n final tips from a set of trees generated by the common sampling algorithm stopping when a fixed number m>>n of leaves is first reached (sim.gsa.taxa). This latter method is appropriate for m-tip trees generated under a big class of models (details in the sim.gsa.taxa man page). For incomplete phylogeny, the missing speciation events can be added through simulations (corsim). (ii) sim.rateshifts.taxa is generalized to sim.bdsky.stt for serially sampled trees, where the trees are conditioned on either the number of sampled tips or the age. Furthermore, for a multitype-branching process with sequential sampling, trees on a fixed number of tips can be simulated using sim.bdtypes.stt.taxa.
Author: Tanja Stadler
Maintainer: Tanja Stadler

Diff between TreeSim versions 1.8 dated 2013-04-16 and 1.9 dated 2013-06-09

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Package pavo updated to version 0.5 with previous version 0.3-1 dated 2013-05-06

Title: Perceptual analysis, visualization and organization of spectral color data in R
Description: A cohesive framework for parsing, analyzing and organizing color from spectral data
Author: Rafael Maia [aut, cre], Chad Eliason [aut], Pierre-Paul Bitton [aut]
Maintainer: Rafael Maia

Diff between pavo versions 0.3-1 dated 2013-05-06 and 0.5 dated 2013-06-09

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Package rbefdata updated to version 0.3 with previous version 0.2 dated 2013-04-17

Title: BEFdata R package
Description: Basic R package to access the data structures offered by the BEFdata portal.
Author: Claas-Thido Pfaff , Karin Nadrowski , Xingxing Man
Maintainer: Claas-Thido Pfaff

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Package diseasemapping updated to version 0.7.3 with previous version 0.6 dated 2012-01-17

Title: Calculate observed and expected disease incidence counts from a case file and population data.
Description: Tools for calculating rates and Standardized Incidence Ratios from case and population data.
Author: Patrick Brown
Maintainer: Patrick Brown

Diff between diseasemapping versions 0.6 dated 2012-01-17 and 0.7.3 dated 2013-06-09

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Package SNPRelate updated to version 0.9.15 with previous version 0.9.14 dated 2013-05-22

Title: Parallel Computing Toolset for Genome-Wide Association Studies (GWAS)
Description: A High-performance computing toolset for relatedness and principal component analysis of SNP data
Author: Xiuwen Zheng
Maintainer: Xiuwen Zheng

Diff between SNPRelate versions 0.9.14 dated 2013-05-22 and 0.9.15 dated 2013-06-09

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Package irace updated to version 1.04 with previous version 1.03 dated 2013-01-15

Title: Iterated Racing Procedures
Description: Iterated racing for automatic algorithm configuration
Author: Manuel López-Ibáñez, Jérémie Dubois-Lacoste, Thomas Stützle, Mauro Birattari, Eric Yuan and Prasanna Balaprakash
Maintainer: Manuel López-Ibáñez

Diff between irace versions 1.03 dated 2013-01-15 and 1.04 dated 2013-06-09

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New package cems with initial version 0.2
Package: cems
Version: 0.2
Date: 2013-06-09
Author: Samuel Gerber
Maintainer: Samuel Gerber
Description: Conditional expectation manifolds are an approach to compute principal curves and surfaces.
Title: Conditional expectation manifolds.
Depends: R (>= 2.10), plotrix, RColorBrewer, rgl, vegan
License: GPL-2
Repository: CRAN
Packaged: 2013-06-09 00:00:20 UTC; samgerber
NeedsCompilation: yes
Date/Publication: 2013-06-09 08:18:51

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