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/
