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

Linking:

Please use the canonical form https://CRAN.R-project.org/package=blockmodels to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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