R tools for Bayesian Statistics

# Introduction

The aim of this kernel is to present the most used R tools and softwares for Bayesian Statistics. I will publish later Kernels for almost all of these tools and where I will show using examples how they can be used.

# R tools for Bayesian Softwares

## JAGS software

### JAGS website

JAGS: for Just Another Gibbs Sampler

http://mcmc-jags.sourceforge.net

## Stan software

### Website

Bayesian statistical inference with MCMC sampling

http://mc-stan.org

## OpenBUGS software

OpenBUGS is a software package for performing Bayesian inference Using Gibbs Sampling

http://www.openbugs.net/w/FrontPage

# R Packages with no external softwares (not all)

• bang: Bayesian Analysis, No Gibbs

• abc: Tools for Approximate Bayesian Computation (ABC)

• BAEssd: Bayesian Average Error approach to Sample Size Determination

• BANOVA: Hierarchical Bayesian ANOVA Models

• BayesBinMix: Bayesian Estimation of Mixtures of Multivariate Bernoulli Distributions

• BayesFM: Bayesian Inference for Factor Modeling

• bayesloglin: Bayesian Analysis of Contingency Table Data

• MCMCpack: Markov Chain Monte Carlo (MCMC) Package