./math/R-LearnBayes, Functions for Learning Bayesian Inference

[ CVSweb ] [ Homepage ] [ RSS ] [ Required by ] [ Add to tracker ]

Branch: CURRENT, Version: 2.15.1, Package name: R-LearnBayes-2.15.1, Maintainer: pkgsrc-users

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.

Master sites: (Expand)

Version history: (Expand)

CVS history: (Expand)


   2021-10-26 12:56:13 by Nia Alarie | Files touched by this commit (458) 
Log message:
math: Replace RMD160 checksums with BLAKE2s checksums

All checksums have been double-checked against existing RMD160 and
SHA512 hashes
   2021-10-07 16:28:36 by Nia Alarie | Files touched by this commit (458) 
Log message:
math: Remove SHA1 hashes for distfiles
   2020-08-09 19:05:12 by Brook Milligan | Files touched by this commit (1) 
Log message:
math/R-LearnBayes: remove MASTER_SITES

MASTER_SITES is defined in math/R/Makefile.extension, which should be
included by all R packages.  Therefore, MASTER_SITES should not normally
be defined in the Makefile for an R package.
   2020-08-07 04:52:56 by Brook Milligan | Files touched by this commit (3) 
Log message:
math/R-LearnBayes: import R-LearnBayes-2.15.1

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.