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.