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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.
Package details 


Author  Jim Albert 
Maintainer  Jim Albert <albert@bgsu.edu> 
License  GPL (>= 2) 
Version  2.15.1 
Package repository  View on CRAN 
Installation 
Install the latest version of this package by entering the following in R:

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