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: 0.2.2
Depends: R (≥ 3.5.0)
Imports: R6, blockmodels, ape, magrittr, cluster
Suggests: testthat (≥ 2.1.0), covr, knitr, rmarkdown, ggplot2 (≥ 3.3.2), tidygraph (≥ 1.2.0), ggraph (≥ 2.0.3), ggforce, spelling
Published: 2021-06-10
Author: Saint-Clair Chabert-Liddell ORCID iD [aut, cre]
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

Downloads:

Reference manual: MLVSBM.pdf
Vignettes: Tutorial
Package source: MLVSBM_0.2.2.tar.gz
Windows binaries: r-devel: MLVSBM_0.2.2.zip, r-release: MLVSBM_0.2.2.zip, r-oldrel: MLVSBM_0.2.2.zip
macOS binaries: r-release (arm64): MLVSBM_0.2.1.tgz, r-release (x86_64): MLVSBM_0.2.2.tgz, r-oldrel: MLVSBM_0.2.2.tgz
Old sources: MLVSBM archive

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