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
 [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 |
| CRAN checks: |
MLVSBM results |
Documentation:
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