bayesball/LearnBayes: Learning Bayesian Inference

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.

Getting started

Package details

AuthorJim Albert
MaintainerJim Albert <[email protected]>
LicenseGPL (>= 2)
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
bayesball/LearnBayes documentation built on May 17, 2018, 10:36 p.m.