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

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

R and WinBUGS code for Chapter 11 examples

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

One can download LearnBayes 1.2 from The Comprehensive R Archieve Network.

(NEW: December 30, 2007) Package LearnBayes 1.2 (zip file) (LearnBayes 1.2 Manual)

Changes and new functions in LearnBayes 1.2

My recent blog for my Bayesian class with more examples using LearnBayes.

Some Vignettes Using R and the LearnBayes Package

• Bayesian Analysis of a 2 x 2 Contingency Table
• A Beta-Binomial Exchangeable Model
• Proportion Inference Using a Discrete Prior
• Bayesian Normal Linear Regression
• Bayesian Test of Independence in a Contingency Table
• Probit Regression
• Rejection Sampling