Simulation, inference and clustering of multilevel networks using a Stochastic Block Model framework as described in Chabert-Liddell, Barbillon, Donnet and Lazega (2021) <doi:10.1016/j.csda.2021.107179>. A multilevel network is defined as the junction of two interaction networks, the upper level or inter-organizational level and the lower level or inter-individual level. The inter-level represents an affiliation relationship.
Version: | 0.2.1 |
Depends: | R (≥ 3.5.0) |
Imports: | R6, blockmodels, ape, magrittr |
Suggests: | testthat (≥ 2.1.0), covr, knitr, rmarkdown, ggplot2 (≥ 3.3.2), tidygraph (≥ 1.2.0), ggraph (≥ 2.0.3), ggforce, spelling |
Published: | 2021-02-10 |
Author: | Saint-Clair Chabert-Liddell
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Maintainer: | Saint-Clair Chabert-Liddell <saint-clair.chabert-liddell at agroparistech.fr> |
BugReports: | https://github.com/Chabert-Liddell/MLVSBM/issues |
License: | GPL-3 |
URL: | https://github.com/Chabert-Liddell/MLVSBM |
NeedsCompilation: | no |
Language: | en-US |
Citation: | MLVSBM citation info |
Materials: | README NEWS |
CRAN checks: | MLVSBM results |
Reference manual: | MLVSBM.pdf |
Vignettes: |
Tutorial |
Package source: | MLVSBM_0.2.1.tar.gz |
Windows binaries: | r-devel: MLVSBM_0.2.1.zip, r-release: MLVSBM_0.2.1.zip, r-oldrel: MLVSBM_0.2.1.zip |
macOS binaries: | r-release: MLVSBM_0.2.1.tgz, r-oldrel: MLVSBM_0.2.1.tgz |
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