CRAN (and crantastic) updates this week New packages ------------
* cudaBayesreg (0.1-1) Adelino Ferreira da Silva http://crantastic.org/packages/cudaBayesreg Compute Unified Device Architecture (CUDA) is a software platform for massively parallel high-performance computing on NVIDIA GPUs. This package provides a CUDA implementation of a Bayesian multilevel model for the analysis of brain fMRI data. A fMRI data set consists of time series of volume data in 4D space. Typically, volumes are collected as slices of 64 x 64 "voxels". Analysis of fMRI data often relies on fitting linear regression models at each voxel of the brain. The volume of the data to be processed, and the type of statistical analysis to perform in fMRI analysis, call for high-performance computing strategies. In this package, the CUDA programming model uses a separate thread for fitting a linear regression model at each voxel in parallel. The global statistical model implements a Gibbs Sampler for hierarchical linear models with a normal prior. This model has been proposed by Rossi, Allenby and McCulloch in "Bayesian Statistics and Marketing", Chapter 3, and is referred to as "rhierLinearModel" in the R-package "bayesm". A notebook equipped with a NVIDIA "GeForce 8400M GS" card having Compute Capability 1.1 has been used in the tests. * DesignPatterns (0.1.0) Jitao David Zhang http://crantastic.org/packages/DesignPatterns Design patterns are building blocks of reusable object-oriented software projects. This package provides data structures and tools to implement, study and reuse design patterns, especially the ones introduced in the book 'Gang of Four'. * geneARMA (1.0) Timothy McMurry http://crantastic.org/packages/geneARMA Fit models for periodic gene expression to time-course microarray data in a normal mixture model framework with mean approximated by a truncated Fourier series and covariance structure modeled by an ARMA(p,q) process. Estimation is performed with the EM algorithm. * SAFD (0.02) Wolfgang Trutschnig http://crantastic.org/packages/SAFD The aim of the package is to provide some basic functions for doing statistics with one dimensional Fuzzy Data (in the form of polygonal fuzzy numbers). In particular, the package contains functions for the basic operations on the class of fuzzy numbers (sum, scalar product, mean, Hukuhara difference) as well as for calculating (Bertoluzza) distance, sample variance, sample covariance, sample correlation, and the Dempster-Shafer (levelwise) histogram. Moreover a function to simulate fuzzy random variables, bootstrap tests for the equality of means, and a function to do linear regression given trapezoidal fuzzy data is included. * season (0.2-2) Adrian Barnett http://crantastic.org/packages/season Routines for the seasonal analysis of health data, including regression models, time-stratified case-crossover, plotting functions and residual checks. * skellam (0.0-8-7) Jerry W. Lewis http://crantastic.org/packages/skellam Functions for the Skellam distribution, including: density (pmf), cdf, quantiles and random variates. * textcat (0.0-1) Kurt Hornik http://crantastic.org/packages/textcat Text categorization based on n-grams Updated packages ---------------- AICcmodavg (1.03), amap (0.8-4), AnalyzeFMRI (1.1-11), aroma.apd (0.1.7), BayesDA (1.0-1), bestglm (0.14), BiodiversityR (1.4), cem (1.0.116), cem (1.0.120), cem (1.0.117), classInt (0.1-13), clim.pact (2.2-39), clusterSim (0.36-6), contrast (0.12), date (1.2-29), diveMove (0.9.6), dlnm (1.1.0), doBy (4.0.5), doBy (4.0.4), DPpackage (1.0-8), e1071 (1.5-20), ElemStatLearn (0.1-7), FITSio (1.1-0), FKF (0.1.0), frailtypack (2.2-9.5), gam (1.01), geiger (1.3-1), glmulti (0.5-3), gplots (2.7.3), httpRequest (0.0.8), introgress (1.2.1), irr (0.80), isotone (1.0-0), KFAS (0.4.5), KFAS (0.4.6), lme4 (0.999375-32), Mcomp (2.01), mixtools (0.4.3), multmod (0.6), multtest (2.1.3), pastecs (1.3-10), PBSmodelling (2.50.162), plink (1.2-2), PMA (1.0.4), qcc (2.0), quantreg (4.43), R.oo (1.6.2), R2wd (1.1), rbounds (0.4), RcmdrPlugin.DoE (0.6), relaimpo (2.1-4), RelativeRisk (1.1-1), ringscale (0.1.2), RPostgreSQL (0.1-6), rsm (1.20), sdcMicro (2.6.2), SimComp (1.4.2), skmeans (0.1-2), slam (0.1-6), snp.plotter (0.3), spatstat (1.17-0), spdep (0.4-50), svmpath (0.93), tau (0.0-4), twitteR (0.1.2) This email provided as a service for the R community by http://crantastic.org. Like it? Hate it? Please let us know: crana...@gmail.com. ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
