LearnBayes

Functions for Learning Bayesian Inference

v2.15.2 · Jan 30, 2026 · GPL (>= 2)

Description

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.

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CRAN Check Status

14 OK

Show all 14 flavors

Flavor	Status	Time
r-devel-linux-x86_64-debian-clang	OK	79.8s
r-devel-linux-x86_64-debian-gcc	OK	59.9s
r-devel-linux-x86_64-fedora-clang	OK	121.3s
r-devel-linux-x86_64-fedora-gcc	OK	120.2s
r-devel-macos-arm64	OK	21s
r-devel-windows-x86_64	OK	120s
r-oldrel-macos-arm64	OK	26s
r-oldrel-macos-x86_64	OK	119s
r-oldrel-windows-x86_64	OK	126s
r-patched-linux-x86_64	OK	76.6s
r-release-linux-x86_64	OK	73.1s
r-release-macos-arm64	OK	22s
r-release-macos-x86_64	OK	87s
r-release-windows-x86_64	OK	108s

Check History

OK 14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 10, 2026

Reverse Dependencies (6)

depends

ProbBayes bayeslongitudinal psbcGroup

imports

RSSampling spatialreg winputall

Dependency Network

Version History

new 2.15.2 Mar 10, 2026

updated 2.15.2 ← 2.15.1 diff Jan 30, 2026

updated 2.15.1 ← 2.15 diff Mar 17, 2018

updated 2.15 ← 2.12 diff May 28, 2014

updated 2.12 ← 2.11 diff Oct 28, 2012

updated 2.11 ← 2.0 diff Jul 24, 2010

updated 2.0 ← 1.2 diff Jan 4, 2009

updated 1.2 ← 1.0 diff Apr 16, 2008

new 1.0 May 2, 2007