LearnBayes: Functions for Learning Bayesian Inference
Version 2.15.1

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

AuthorJim Albert
Date of publication2018-03-18 20:41:13 UTC
MaintainerJim Albert <[email protected]>
LicenseGPL (>= 2)
Package repositoryView on CRAN
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LearnBayes documentation built on March 19, 2018, 1:04 a.m.