---
- branch: MAIN
  date: Fri Aug  7 02:52:56 UTC 2020
  files:
  - new: '1.473'
    old: '1.472'
    path: pkgsrc/math/Makefile
    pathrev: pkgsrc/math/Makefile@1.473
    type: modified
  - new: '1.1'
    old: '0'
    path: pkgsrc/math/R-LearnBayes/DESCR
    pathrev: pkgsrc/math/R-LearnBayes/DESCR@1.1
    type: added
  - new: '1.1'
    old: '0'
    path: pkgsrc/math/R-LearnBayes/Makefile
    pathrev: pkgsrc/math/R-LearnBayes/Makefile@1.1
    type: added
  - new: '1.1'
    old: '0'
    path: pkgsrc/math/R-LearnBayes/distinfo
    pathrev: pkgsrc/math/R-LearnBayes/distinfo@1.1
    type: added
  id: 20200807T025256Z.7122dda5fe980986268695f1d1bdfb7c9238e23a
  log: |
    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.
  module: pkgsrc
  subject: 'CVS commit: pkgsrc/math'
  unixtime: '1596768776'
  user: brook