We define generalized multipartite networks as the joint observation of several networks implying some common pre-specified groups of individuals. The aim is to fit an adapted version of the popular stochastic block model to multipartite networks, as described in Bar-hen, Barbillon and Donnet (2020) <arXiv:1807.10138>.
| Version: |
0.2.0 |
| Depends: |
R (≥ 3.5.0) |
| Imports: |
R6, parallel, grDevices, graphics, stats, utils, igraph, mclust, blockmodels, aricode, pbmcapply |
| Suggests: |
testthat (≥ 2.1.0), spelling, knitr, rmarkdown |
| Published: |
2020-11-25 |
| Author: |
Sophie Donnet 
[aut, cre],
Pierre Barbillon
[aut] |
| Maintainer: |
Sophie Donnet <sophie.donnet at inrae.fr> |
| BugReports: |
https://github.com/demiperimetre/GREMLINS/issues |
| License: |
GPL-3 |
| URL: |
https://demiperimetre.github.io/GREMLINS/ |
| NeedsCompilation: |
no |
| Language: |
en-US |
| Materials: |
README |
| CRAN checks: |
GREMLINS results |