_            _    _        _         _
      /\ \         /\ \ /\ \     /\_\      / /\
      \_\ \       /  \ \\ \ \   / / /     / /  \
      /\__ \     / /\ \ \\ \ \_/ / /     / / /\ \__
     / /_ \ \   / / /\ \ \\ \___/ /     / / /\ \___\
    / / /\ \ \ / / /  \ \_\\ \ \_/      \ \ \ \/___/
   / / /  \/_// / /   / / / \ \ \        \ \ \
  / / /      / / /   / / /   \ \ \   _    \ \ \
 / / /      / / /___/ / /     \ \ \ /_/\__/ / /
/_/ /      / / /____\/ /       \ \_\\ \/___/ /
\_\/       \/_________/         \/_/ \_____\/
r-blockmodels 1.2.1
Propagated dependencies: r-rcpparmadillo@15.2.7-1 r-rcpp@1.1.1-1.1 r-digest@0.6.39
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://grosssbm.github.io/blockmodels/
Licenses: LGPL 2.1
Build system: r
Synopsis: Latent and Stochastic Block Model Estimation by a 'V-EM' Algorithm
Description:

Latent and Stochastic Block Model estimation by a Variational EM algorithm. Various probability distribution are provided (Bernoulli, Poisson...), with or without covariates. See Leger (2016) <doi:10.48550/arXiv.1602.07587>.

Total packages: 1