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https://github.com/cran/LearnBayes
01 January 2021, 05:47:17 UTC
Revision e89534b678b45b94e4b324f3010cf8320d731d86 authored by Jim Albert on 28 May 2014, 00:00:00 UTC, committed by Gabor Csardi on 28 May 2014, 00:00:00 UTC 
version 2.15
1 parent 15f9a9e
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Tip revision: e89534b678b45b94e4b324f3010cf8320d731d86 authored by Jim Albert on 28 May 2014, 00:00:00 UTC
version 2.15
Tip revision: e89534b
DESCRIPTION 
Package: LearnBayes
Type: Package
Title: Functions for Learning Bayesian Inference
Version: 2.15
Date: 2014-05-28
Author: Jim Albert
Maintainer: Jim Albert <albert@bgsu.edu>
LazyData: yes
Description: LearnBayes contains 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.
License: GPL (>= 2)
Packaged: 2014-05-29 11:59:53 UTC; albert
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2014-05-29 17:33:08
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