MLVSBM: A Stochastic Block Model for Multilevel Networks

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: 0.2.4
Depends: R (≥ 3.5.0)
Imports: R6, blockmodels, ape, magrittr, cluster
Suggests: testthat (≥ 2.1.0), covr, knitr, rmarkdown, ggplot2 (≥ 3.3.2), ggforce, spelling, cowplot, reshape2, dplyr
Published: 2022-08-05
DOI: 10.32614/CRAN.package.MLVSBM
Author: Saint-Clair Chabert-Liddell ORCID iD [aut, cre]
Maintainer: Saint-Clair Chabert-Liddell <academic at>
License: GPL-3
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_0.2.4.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): MLVSBM_0.2.4.tgz, r-oldrel (arm64): MLVSBM_0.2.4.tgz, r-release (x86_64): MLVSBM_0.2.4.tgz, r-oldrel (x86_64): MLVSBM_0.2.4.tgz
Old sources: MLVSBM archive


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