# R Programming/Bayesian Methods

< R Programming

The latest reviewed version was checked on

*29 July 2018*. There are 2 pending changes awaiting review.## IntroductionEdit

R has lots of bayesian estimation procedures, much more than Stata or SAS.

**LearnBayes**by Jim Albert**bayesm**by Peter Rossi and Rob McCulloch**BaM**by Jeff Gill**arm**package by Jennifer Hill and Andrew Gelman.**MCMCpack**package.**mcsm**package by Christian Robert and George Casella.**umacs**(link) by Jouni Kerman and Andrew Gelman.

## Interface with WinBugsEdit

- WinBugs/OpenBugs is a popular statistical package for MCMC techniques.
- Andrew Gelman has some instruction to use R and WinBugs on his webpage
- There is also an interface with JAGS

## ResourcesEdit

- Christian Robert and Jean Michel Marin
*The Bayesian Core*(link including slides and R scripts) - Jim Albert :
*Bayesian Computation with R*, Use R!, Springer 2007. - Christian Robert and George Casella
*Introducing Monte Carlo Methods with R*, Use R!, Springer 2009 (link including the mcsm package). - Peter Rossi, Greg Allenby, Robert McCulloch :
*Bayesian Statistics and Marketing*and "bayesm" package. - CRAN task view for bayesian statistics (link)