LearnBayes: Functions for Learning Bayesian Inference
Version 2.15

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.

Package details

AuthorJim Albert
Date of publication2014-05-29 17:33:08
MaintainerJim Albert <[email protected]>
LicenseGPL (>= 2)
Version2.15
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("LearnBayes")

Try the LearnBayes package in your browser

Any scripts or data that you put into this service are public.

LearnBayes documentation built on May 30, 2017, 4:48 a.m.