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 [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

Documentation:

Reference manual:	GREMLINS.pdf
Vignettes:	Analysis of a mutualistic multipartite ecological network with GREMLINS GREMLINS. Quick Mathematical Background Illustration on a simulated multipartite network

Downloads:

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-oldrel (arm64): GREMLINS_0.2.0.tgz, r-release (x86_64): GREMLINS_0.2.0.tgz, r-oldrel (x86_64): GREMLINS_0.2.0.tgz

Reverse dependencies:

Reverse imports:

robber, sbm

Linking:

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