blockmodels: Latent and Stochastic Block Model Estimation by a 'V-EM' Algorithm

Latent and Stochastic Block Model estimation by a Variational EM algorithm. Various probability distribution are provided (Bernoulli, Poisson...), with or without covariates.

Version: 1.1.4
Depends: R (≥ 3.4.0)
Imports: Rcpp, parallel, methods, digest
LinkingTo: Rcpp, RcppArmadillo
Published: 2020-11-23
Author: Jean-Benoist Leger, Pierre Barbillon, Julien Chiquet
Maintainer: Jean-Benoist Leger <jbleger at hds.utc.fr>
License: LGPL-2.1
NeedsCompilation: yes
CRAN checks: blockmodels results

Downloads:

Reference manual: blockmodels.pdf
Package source: blockmodels_1.1.4.tar.gz
Windows binaries: r-devel: blockmodels_1.1.4.zip, r-release: blockmodels_1.1.4.zip, r-oldrel: blockmodels_1.1.4.zip
macOS binaries: r-release: blockmodels_1.1.4.tgz, r-oldrel: blockmodels_1.1.4.tgz
Old sources: blockmodels archive

Reverse dependencies:

Reverse imports: econetwork, expSBM, GREMLINS, MLVSBM, sbm
Reverse suggests: missSBM, sand

Linking:

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