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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 |
| Reference manual: | blockmodels.pdf |
| 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 imports: | econetwork, expSBM, graphclust, GREMLINS, mimiSBM, MLVSBM, robber, sbm |
| Reverse suggests: | missSBM, sand |
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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.