GREMLINS: Generalized Multipartite Networks
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) <doi:10.48550/arXiv.1807.10138>.  
| Version: | 
0.2.1 | 
| Depends: | 
R (≥ 3.5.0) | 
| Imports: | 
R6, parallel, stats, utils, igraph, blockmodels, aricode, pbmcapply | 
| Suggests: | 
testthat (≥ 2.1.0), spelling, knitr, rmarkdown | 
| Published: | 
2023-03-10 | 
| DOI: | 
10.32614/CRAN.package.GREMLINS | 
| Author: | 
Sophie Donnet  
    [aut, cre],
  Pierre Barbillon  
    [aut] | 
| Maintainer: | 
Sophie Donnet  <sophie.donnet at inrae.fr> | 
| BugReports: | 
https://github.com/GrossSBM/GREMLINS/issues | 
| License: | 
GPL-3 | 
| URL: | 
https://GrossSBM.github.io/GREMLINS/ | 
| NeedsCompilation: | 
no | 
| Language: | 
en-US | 
| Materials: | 
README, NEWS  | 
| In views: | 
NetworkAnalysis | 
| CRAN checks: | 
GREMLINS results | 
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