Website for the book Bayesian Computation With R by Jim Albert ISBN: 978-0-387-71384-7

Second Edition is now available. Order from the Springer website.

Table of Contents

1. An Introduction to R
2. Introduction to Bayesian Thinking
3. Single-Parameter Models
4. Multiparameter Models
5. Introduction to Bayesian Computation
6. Markov Chain Monte Carlo Methods
7. Hierarchical Modeling
8. Model Comparison
9. Regression Models
10. Gibbs Sampling
11. Using R to Interface with WinBUGS

ERRATA in Second Edition ; in First Edition

R scripts for examples in Second Edition

The LearnBayes package contains all of the R functions and datasets in the book. Functions in LearnBayes.

Download LearnBayes 2.0 from CRAN.

Changes and new functions in LearnBayes 2.0

My blog for my Bayesian class 2009 class ; 2007 class