_            _    _        _         _
      /\ \         /\ \ /\ \     /\_\      / /\
      \_\ \       /  \ \\ \ \   / / /     / /  \
      /\__ \     / /\ \ \\ \ \_/ / /     / / /\ \__
     / /_ \ \   / / /\ \ \\ \___/ /     / / /\ \___\
    / / /\ \ \ / / /  \ \_\\ \ \_/      \ \ \ \/___/
   / / /  \/_// / /   / / / \ \ \        \ \ \
  / / /      / / /   / / /   \ \ \   _    \ \ \
 / / /      / / /___/ / /     \ \ \ /_/\__/ / /
/_/ /      / / /____\/ /       \ \_\\ \/___/ /
\_\/       \/_________/         \/_/ \_____\/
r-bgms 0.1.6.1
Propagated dependencies: r-rdpack@2.6.4 r-rcppparallel@5.1.10 r-rcpparmadillo@14.4.3-1 r-rcpp@1.0.14 r-lifecycle@1.0.4 r-dqrng@0.4.1 r-coda@0.19-4.1 r-bh@1.87.0-1
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://Bayesian-Graphical-Modelling-Lab.github.io/bgms/
Licenses: GPL 2+
Synopsis: Bayesian Analysis of Networks of Binary and/or Ordinal Variables
Description:

Bayesian variable selection methods for analyzing the structure of a Markov random field model for a network of binary and/or ordinal variables.

Total results: 1