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 In views: NetworkAnalysis 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.
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