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 SoftwaresJAGS softwareStan softwareOpenBUGS softwareOpenBUGS is a software package for performing Bayesian inference Using Gibbs Sampling
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