Package: LearnBayes
Type: Package
Title: Learning Bayesian Inference
Version: 2.17
Date: 2016-08-30
Author: Jim Albert
Maintainer: Jim Albert <albert@bgsu.edu>
Depends: coda
LazyData: yes
Description: 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.
License: GPL (>= 2)
Packaged: 2026-06-16 11:45:46 UTC; root
RoxygenNote: 5.0.1
Repository: https://bayesball.r-universe.dev
Date/Publication: 2018-05-17 21:04:10 UTC
RemoteUrl: https://github.com/bayesball/learnbayes
RemoteRef: HEAD
RemoteSha: f7722076d01768bb845bfe9bed78c365fcf292df
NeedsCompilation: no