Fri, 30 Oct 2009

Package phangorn updated to version 0.99-3 with previous version 0.99-2 dated 2009-07-21

Author: Klaus Schliep
Title: Phylogenetic analysis in R
Description: Phylogenetic analysis in R (Estimation of phylogenetic trees and networks using Maximum Likelihood, Maximum Parsimony, Distance methods & Hadamard conjugation)

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Package coin updated to version 1.0-8 with previous version 1.0-7 dated 2009-09-29

Author: Torsten Hothorn, Kurt Hornik, Mark A. van de Wiel and Achim Zeileis
Title: Conditional Inference Procedures in a Permutation Test Framework
Description: Conditional inference procedures for the general independence problem including two-sample, K-sample (non-parametric ANOVA), correlation, censored, ordered and multivariate problems.

Diff between coin versions 1.0-7 dated 2009-09-29 and 1.0-8 dated 2009-10-30

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New package Guerry with initial version 1.1
Package: Guerry
Type: Package
Title: Guerry: maps, data and methods related to Guerry (1833) "Moral Statistics of France"
Version: 1.1
Date: 2009-10-28
Author: Michael Friendly and Stephane Dray
Maintainer: Michael Friendly
Encoding: latin1
Depends: sp
Suggests: spdep, ade4
Description: This package comprises maps of France in 1830, data from A.-M. Guerry and others and statistical and graphic methods related to Guerry's "Moral Statistics of France".
License: GPL
LazyLoad: yes
LazyData: yes
Repository: CRAN
Repository/R-Forge/Project: guerry
Repository/R-Forge/Revision: 6
Date/Publication: 2009-10-30 17:56:05
Packaged: 2009-10-28 21:15:39 UTC; rforge

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New package zic with initial version 0.5-2
Package: zic
Version: 0.5-2
Date: 2009-10-30
Title: Bayesian Inference for Zero-Inflated Count Models
Author: Markus Jochmann
Maintainer: Markus Jochmann
Description: This package provides MCMC algorithms for the analysis of zero-inflated count models. The case of stochastic search variable selection (SSVS) is also considered. All MCMC samplers are coded in C++ for improved efficiency. A data set considering the demand for health care is also provided.
License: GPL (>= 2)
Packaged: 2009-10-30 15:34:52 UTC; markus
Repository: CRAN
Date/Publication: 2009-10-30 16:08:19

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Package svUnit updated to version 0.6-4 with previous version 0.6-2 dated 2009-06-28

Author: Philippe Grosjean
Title: SciViews GUI API - Unit testing
Description: A complete unit test system and functions to implement its GUI part

Diff between svUnit versions 0.6-2 dated 2009-06-28 and 0.6-4 dated 2009-10-30

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Package rsm updated to version 1.21 with previous version 1.20 dated 2009-10-20

Author: Russell V. Lenth
Title: Response-surface analysis
Description: Provides functions to generate response-surface designs, fit first- and second-order response-surface models, make contour plots, obtain the path of steepest ascent, and do canonical analysis.

Diff between rsm versions 1.20 dated 2009-10-20 and 1.21 dated 2009-10-30

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Package meta updated to version 1.1-3 with previous version 1.1-2 dated 2009-10-11

Author: Guido Schwarzer
Title: Meta-Analysis with R
Description: Fixed and random effects meta-analysis. Functions for tests of bias, forest and funnel plot.

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Package accuracy updated to version 1.33 with previous version 1.32 dated 2009-05-04

Author: Micah Altman, Jeff Gill, Michael P. McDonald
Title: Tools for testing and improving accuracy of statistical results.
Description: This is a suite of tools designed to test and improve the accuracy of statistical computation, including: Summarization of the sensitivity of linear and non-linear models (lm, glm, mle, nls) to measurement and numerical error; Sensitivity analysis of dozens of models as run through Zelig; A generalized cholesky method for correcting non-invertable Hessians; Tests for the global optimality of non-linear regression and maximum likelihood results; Tools for obtaining true random numbers using entropy collected from the system and/or entropy servers on the internet; A method for converting floating point numbers to normalized fractions; Benchmark data for checking the accuracy of basic distribution functions.

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Package RWeka updated to version 0.3-23 with previous version 0.3-22 dated 2009-10-18

Author: Kurt Hornik, with contributions from Christian Buchta, Torsten Hothorn, Alexandros Karatzoglou, David Meyer, and Achim Zeileis
Title: R/Weka interface
Description: An R interface to Weka (Version 3.6.1). Weka is a collection of machine learning algorithms for data mining tasks written in Java, containing tools for data pre-processing, classification, regression, clustering, association rules, and visualization. Both the R interface and Weka itself are contained in the RWeka package. For more information on Weka see http://www.cs.waikato.ac.nz/~ml/weka/.

Diff between RWeka versions 0.3-22 dated 2009-10-18 and 0.3-23 dated 2009-10-30

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Package spgrass6 updated to version 0.6-11 with previous version 0.6-9 dated 2009-09-05

Author: Roger Bivand
Title: Interface between GRASS 6 geographical information system and R
Description: Interpreted interface between GRASS 6 geographical information system and R, based on starting R from within the GRASS environment, or running free-standing R in a temporary GRASS location; the package provides facilities for using all GRASS commands from the R command line.

Diff between spgrass6 versions 0.6-9 dated 2009-09-05 and 0.6-11 dated 2009-10-30

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Package rgdal updated to version 0.6-20 with previous version 0.6-19 dated 2009-10-05

Author: Timothy H. Keitt , Roger Bivand , Edzer Pebesma , Barry Rowlingson
Title: Bindings for the Geospatial Data Abstraction Library
Description: Provides bindings to Frank Warmerdam's Geospatial Data Abstraction Library (GDAL) (>= 1.3.1) and access to projection/transformation operations from the PROJ.4 library. The GDAL and PROJ.4 libraries are external to the package, and, when installing the package from source, must be correctly installed first. Both GDAL raster and OGR vector map data can be imported into R, and GDAL raster data and OGR vector data exported. Use is made of classes defined in the sp package.

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New package gcolor with initial version 1.0
Package: gcolor
Type: Package
Title: Provides an Inequation Algorithm Function and a solution to import DIMACS files.
Version: 1.0
Date: 2009-10-12
Depends: R (>= 2.8)
Author: Jeffrey L. Duffany, Ph.D. and Euripides Rivera Negron
Maintainer: Jeffrey L. Duffany, Ph.D.
Description: Generates a valid colouring of a graph by solving the system of inequations representing the graph.
License: GPL-2
LazyLoad: yes
Packaged: 2009-10-30 01:00:52 UTC; stretch
Repository: CRAN
Date/Publication: 2009-10-30 07:47:06

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New package BayesQTLBIC with initial version 1.0-0
Package: BayesQTLBIC
Version: 1.0-0
Date: 2008-10-15
Title: Bayesian multi-locus QTL analysis based on the BIC criterion
Author: Rod Ball
Maintainer: Rod Ball
Description: R package for a non-MCMC approximate multilocus Bayesian model selection approach to the analysis of quantitative trait loci (QTL). The method and models are described in (Ball, R. D. Genetics 159: 1351--1364, 2001; http://www.genetics.org/cgi/content/abstract/159/3/1351). Data is assumed to be from a QTL mapping family with DNA markers genotyped along the genome. The QTL mapping problem is represented as a model selection problem, where each model is a linear regression of the trait on a selected set of marker values. The main function bicreg.qtl() is based on the S function bicreg()--- posterior probabilities for models are approximated from the BIC criterion, calculated for each model in a search of model space using leaps or regsubsets. Additionally, we allow for prior probabilities based on expected numbers of QTL per genome and options to control the size of models considered, and to allow for selectivly genotyping from the tails of the phenotypic distribution. Missing values are estimated by multiple imputation, and estimates of marker effects can be obtained conditional on selection or unconditional and free of selection bias. The method relies on 3 approximations: (1.) QTL configuration is represented approximately by configurations with QTL located at marker positions; (2.) Posterior probabilities are given approximately in terms of the BIC criterion; and (3.) The distribution of missing marker values is approximated by multiple imputation, sampling from the distribution of missing values conditional on non-missing values. We have found these are good approximations provided (1.) the marker spacing is reasonable (less than 30cM); (2.) the sample size is 100 or more for fully genotyped populations; and (3.) around 10 imputations are used and the effect of any given QTL on the trait is not large. Due to limits on the number of markers that can be considered simultaneously the method is generally applied separately to each chromosome or could be iteratively applied to sets of chromosomes using fixed sets of predictors from other chromsomes when analysing a given chromosome.
Depends: leaps
License: GPL (>= 2)
URL: mailto:rod.ball@scionresearch.com www.scionresearch.com/
Packaged: Fri Oct 30 13:38:09 2009; rod
Repository: CRAN
Date/Publication: 2009-10-30 07:56:55

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Package BHH2 updated to version 1.0.3 with previous version 1.0.2 dated 2009-01-30

Author: Ernesto Barrios
Title: Useful Functions for Box, Hunter and Hunter II
Description: Functions and data sets reproducing some examples in Box, Hunter and Hunter II

Diff between BHH2 versions 1.0.2 dated 2009-01-30 and 1.0.3 dated 2009-10-30

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Package BARD updated to version 1.05 with previous version 1.03 dated 2009-01-07

Author: Micah Altman
Title: Better Automated ReDistricting
Description: This is a package for automated redistricting and heuristic exploration of redistricter revealed preference

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