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: 1.1.5
Depends: R (≥ 3.4.0)
Imports: Rcpp, parallel, methods, digest
LinkingTo: Rcpp, RcppArmadillo
Published: 2021-12-01
DOI: 10.32614/CRAN.package.blockmodels
Author: Jean-Benoist Leger, Pierre Barbillon, Julien Chiquet
Maintainer: Jean-Benoist Leger <jbleger at>
License: LGPL-2.1
NeedsCompilation: yes
CRAN checks: blockmodels results


Reference manual: blockmodels.pdf


Package source: blockmodels_1.1.5.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): blockmodels_1.1.5.tgz, r-oldrel (arm64): blockmodels_1.1.5.tgz, r-release (x86_64): blockmodels_1.1.5.tgz, r-oldrel (x86_64): blockmodels_1.1.5.tgz
Old sources: blockmodels archive

Reverse dependencies:

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


Please use the canonical form to link to this page.