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: 1.1.1
Depends: Rcpp (≥ 0.10.6), parallel, methods, digest
LinkingTo: Rcpp, RcppArmadillo
Published: 2015-04-21
Author: INRA, Jean-Benoist Leger
Maintainer: Jean-Benoist Leger <jbleger at>
License: LGPL-2.1
NeedsCompilation: yes
CRAN checks: blockmodels results


Reference manual: blockmodels.pdf
Package source: blockmodels_1.1.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release: blockmodels_1.1.1.tgz, r-oldrel: blockmodels_1.1.1.tgz
Old sources: blockmodels archive

Reverse dependencies:

Reverse depends: simone
Reverse imports: expSBM
Reverse suggests: missSBM


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