Package: wnpp Severity: wishlist Owner: Andreas Tille <[email protected]>
* Package name : r-cran-learnbayes Version : 2.15 Upstream Author : Jim Albert <[email protected]> * URL : http://cran.r-project.org/web/packages/LearnBayes/ * License : GPL Programming Lang: R Description : GNU R 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. Remark: This package is a (pre-)pre-condition to run r-cran-surveillance test suite and will be maintained by the Debian Science team at svn://anonscm.debian.org/debian-science/packages/R/trunk/packages/r-cran-learnbayes/trunk -- To UNSUBSCRIBE, email to [email protected] with a subject of "unsubscribe". Trouble? Contact [email protected]
