https://github.com/cran/LearnBayes
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Tip revision: 15f9a9eeec34caa6f192474de41d67165f0208f0 authored by Jim Albert on 07 October 2010, 00:00:00 UTC
version 2.12
Tip revision: 15f9a9e
DESCRIPTION
Package: LearnBayes
Type: Package
Title: Functions for Learning Bayesian Inference
Version: 2.12
Date: 2010-10-7
Author: Jim Albert
Maintainer: Jim Albert <albert@bgnet.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: 2012-10-29 08:57:14 UTC; ripley
Repository: CRAN
Date/Publication: 2012-10-29 08:57:14
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