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
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

Documentation:

Reference manual:

blockmodels.pdf

Downloads:

Package source:	blockmodels_1.1.5.tar.gz
Windows binaries:	r-devel: blockmodels_1.1.5.zip, r-release: blockmodels_1.1.5.zip, r-oldrel: blockmodels_1.1.5.zip
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:	expSBM, GREMLINS, MLVSBM, robber, sbm
Reverse suggests:	missSBM, sand

Linking:

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