https://github.com/cran/LearnBayes
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Tip revision: ee024f18dd84b50eb3df9ca01579090371f4fcde authored by Jim Albert on 03 May 2007, 00:00:00 UTC
version 1.0
Tip revision: ee024f1
DESCRIPTION
Package: LearnBayes
Type: Package
Title: Functions for Learning Bayesian Inference
Version: 1.0
Date: 2007-05-03
Author: Jim Albert
Maintainer: Jim Albert <albert@bgnet.bgsu.edu>
Description: 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.
License: GPL version 2 or newer
Packaged: Thu May  3 08:11:23 2007; Jim Albert
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