Our approach uses a mixture of multilayer stochastic block models to group co-membership matrices with similar information into components and to partition observations into different clusters. See De Santiago (2023, ISBN: 978-2-87587-088-9).
| Version: | 0.0.1.3 |
| Imports: | blockmodels, stats |
| Suggests: | knitr, rmarkdown |
| Published: | 2024-01-09 |
| DOI: | 10.32614/CRAN.package.mimiSBM |
| Author: | Kylliann De Santiago [aut, cre], Marie Szafranski [aut], Christophe Ambroise [aut] |
| Maintainer: | Kylliann De Santiago <kylliann.desantiago at univ-evry.fr> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | mimiSBM results |
| Reference manual: | mimiSBM.pdf |
| Vignettes: |
Simulations |
| Package source: | mimiSBM_0.0.1.3.tar.gz |
| Windows binaries: | r-devel: mimiSBM_0.0.1.3.zip, r-release: mimiSBM_0.0.1.3.zip, r-oldrel: mimiSBM_0.0.1.3.zip |
| macOS binaries: | r-release (arm64): mimiSBM_0.0.1.3.tgz, r-oldrel (arm64): mimiSBM_0.0.1.3.tgz, r-release (x86_64): mimiSBM_0.0.1.3.tgz, r-oldrel (x86_64): mimiSBM_0.0.1.3.tgz |
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