- An Introduction to R
- Introduction to Bayesian Thinking
- Single-Parameter Models
- Multiparameter Models
- Introduction to Bayesian Computation
- Markov Chain Monte Carlo Methods
- Hierarchical Modeling
- Model Comparision
- Regression Models
- Gibbs Sampling
- Using R to Interface with WinBUGS

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

Download LearnBayes 2.15 from CRAN

Download LearnBayes 2.17 from GitHub - Errata in Second Edition ; in First Edition
- Lecture notes from my Bayesian Inference course at BGSU
- R Scripts and Output for Examples in Second Edition
- R Notebook examples of topics in BCWR
- My blog for my Bayesian
class

2009 and 2011 classes ; 2007 class