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) <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 ORCID iD [aut, cre], Pierre Barbillon ORCID iD [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

Downloads:

Reference manual: GREMLINS.pdf
Vignettes: Analysis of a mutualistic multipartite ecological network with GREMLINS
GREMLINS. Quick Mathematical Background
Illustration on a simulated multipartite network
Package source: GREMLINS_0.2.0.tar.gz
Windows binaries: r-devel: GREMLINS_0.2.0.zip, r-release: GREMLINS_0.2.0.zip, r-oldrel: GREMLINS_0.2.0.zip
macOS binaries: r-release (arm64): GREMLINS_0.2.0.tgz, r-release (x86_64): GREMLINS_0.2.0.tgz, r-oldrel: GREMLINS_0.2.0.tgz

Reverse dependencies:

Reverse imports: robber, sbm

Linking:

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