1 LearnBayes contains a collection of functions helpful in learning
2 the basic tenets of Bayesian statistical inference. It contains
3 functions for summarizing basic one and two parameter posterior
4 distributions and predictive distributions. It contains MCMC
5 algorithms for summarizing posterior distributions defined by the
6 user. It also contains functions for regression models, hierarchical
7 models, Bayesian tests, and illustrations of Gibbs sampling.
9 WWW: https://cran.r-project.org/web/packages/LearnBayes/