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 [aut, cre] Maintainer: Saint-Clair Chabert-Liddell <academic at chabert-liddell.com> 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 In views: NetworkAnalysis CRAN checks: MLVSBM results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=MLVSBM to link to this page.
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