Become an expert in R — Interactive courses, Cheat Sheets, certificates and more!
Get Started for Free

LearnBayes

Functions for Learning Bayesian Inference

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.

Functions (94)

LearnBayes

Functions for Learning Bayesian Inference

v2.15.1
GPL (>= 2)
Authors
Jim Albert
Initial release
2018-03-18

We don't support your browser anymore

Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.