_            _    _        _         _
      /\ \         /\ \ /\ \     /\_\      / /\
      \_\ \       /  \ \\ \ \   / / /     / /  \
      /\__ \     / /\ \ \\ \ \_/ / /     / / /\ \__
     / /_ \ \   / / /\ \ \\ \___/ /     / / /\ \___\
    / / /\ \ \ / / /  \ \_\\ \ \_/      \ \ \ \/___/
   / / /  \/_// / /   / / / \ \ \        \ \ \
  / / /      / / /   / / /   \ \ \   _    \ \ \
 / / /      / / /___/ / /     \ \ \ /_/\__/ / /
/_/ /      / / /____\/ /       \ \_\\ \/___/ /
\_\/       \/_________/         \/_/ \_____\/
r-bergm 5.0.7
Propagated dependencies: r-statnet-common@4.10.0 r-rglpk@0.6-5.1 r-network@1.18.2 r-mvtnorm@1.3-2 r-mcmcpack@1.7-1 r-matrixcalc@1.0-6 r-matrix@1.7-1 r-ergm@4.8.1 r-coda@0.19-4.1
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://acaimo.github.io/Bergm/
Licenses: GPL 2+
Synopsis: Bayesian Exponential Random Graph Models
Description:

Bayesian analysis for exponential random graph models using advanced computational algorithms. More information can be found at: <https://acaimo.github.io/Bergm/>.

Total results: 1