swMATH ID: 4495
Software Authors: Jim Albert
Description: LearnBayes: Functions for Learning Bayesian Inference , LearnBayes contains a collection of functions helpful in learning the basic tenets of Bayesian statistical inference. It contains functions for summarizing basic one and two parameter posterior distributions and predictive distributions. It contains MCMC algorithms for summarizing posterior distributions defined by the user. It also contains functions for regression models, hierarchical models, Bayesian tests, and illustrations of Gibbs sampling.
Homepage: http://cran.r-project.org/web/packages/LearnBayes/
Operating Systems: UNIX, Linux, Windows, MacOS X
Dependencies: R
Keywords: Bayes; distributions; MCMC; regression model; hierarchical model; Bayesian test; illustration of Gibbs sampling
Related Software: R; R2WinBUGS; WinBUGS; kinship2; BayesVarSel; plyr; glmnet; Mcmcpack; SemiPar; mvtnorm; SAS; ggplot2; foreign; MASS (R); SPSS; gbs; TeachingDemos; robustbase; KernSmooth; AGS
Referenced in: 6 Publications

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