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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 |
| 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:
Downloads:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=MLVSBM
to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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