---
name: R-cran-LearnBayes
version: 2.12_3
origin: math/R-cran-LearnBayes
comment: Functions for Learning Bayesian Inference
arch: freebsd:9:x86:64
www: http://cran.r-project.org/web/packages/LearnBayes/
maintainer: tota@FreeBSD.org
prefix: /usr/local
licenselogic: or
licenses:
- GPLv3
- GPLv2
flatsize: 345458
desc: |
  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.

  WWW: http://cran.r-project.org/web/packages/LearnBayes/
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categories:
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