Functions for Learning Bayesian Inference R package LearnBayes version 2.15.2 CRAN Task View: Bayesian (https://CRAN.R-project.org/view=Bayesian) CRAN Task View: Distributions (https://CRAN.R-project.org/view=Distributions) CRAN Task View: Survival (https://CRAN.R-project.org/view=Survival) CRAN Task View: TeachingStatistics (https://CRAN.R-project.org/view=TeachingStatistics) A collection of functions helpful in learning the basic tenets of Bayesian statistical inference. It contains functions for summarizing basic one and two parameter posterior distributions and predictive distributions. It contains MCMC algorithms for summarizing posterior distributions defined by the user. It also contains functions for regression models, hierarchical models, Bayesian tests, and illustrations of Gibbs sampling. Software Imports: coda, lattice, survival Jim Albert <albert@bgsu.edu> Comprehensive R Archive Network (CRAN) Jim Albert [aut, cre] GPL (>= 2) 2026-01-31 application/tgz https://CRAN.R-project.org/package=LearnBayes doi:10.32614/CRAN.package.LearnBayes