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