Learning Bayesian modeling with R is best achieved using comprehensive, freely available PDF resources, including John Kruschke’s "Doing Bayesian Data Analysis" and Ben Lambert's "A Student's Guide to Bayesian Statistics". Key R packages for implementing these models include brms , rstanarm , and RStan . For a foundational, concise guide, consult the Bayesian Basics PDF . A Student's Guide to Bayesian Statistics