LearnBayes (version 2.15.1)

Functions for Learning Bayesian Inference

Description

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.

Copy Link

Version

Down Chevron

Install

install.packages('LearnBayes')

Monthly Downloads

5,842

Version

2.15.1

License

GPL (>= 2)

Maintainer

Last Published

March 18th, 2018

Functions in LearnBayes (2.15.1)