Package: GREMLINS 0.2.1

Sophie Donnet

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>.

Authors:Sophie Donnet [aut, cre], Pierre Barbillon [aut]

GREMLINS_0.2.1.tar.gz
GREMLINS_0.2.1.zip(r-4.7-any)GREMLINS_0.2.1.zip(r-4.6-any)GREMLINS_0.2.1.zip(r-4.5-any)
GREMLINS_0.2.1.tgz(r-4.6-any)GREMLINS_0.2.1.tgz(r-4.5-any)
GREMLINS_0.2.1.tar.gz(r-4.7-any)GREMLINS_0.2.1.tar.gz(r-4.6-any)
GREMLINS_0.2.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
GREMLINS/json (API)

# Install 'GREMLINS' in R:
install.packages('GREMLINS', repos = c('https://grosssbm.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/grosssbm/gremlins/issues

Pkgdown/docs site:https://grosssbm.github.io

Datasets:
  • MPEcoNetwork - Multipartite network of mutualistic interactions between plants and pollinators, plants and birds and plants and ants.

On CRAN:

Conda:

5.33 score 1 stars 4 packages 12 scripts 650 downloads 1 mentions 8 exports 18 dependencies

Last updated from:aa6dc0217c. Checks:7 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64NOTE142
source / vignettesOK268
linux-release-x86_64NOTE179
macos-release-arm64NOTE130
macos-oldrel-arm64NOTE91
windows-develNOTE110
windows-releaseNOTE113
windows-oldrelNOTE132
wasm-releaseOK124

Exports:comparClassifcompLikICLdefineNetworkextractClustersMBMmultipartiteBMmultipartiteBMFixedModelpredictMBMrMBM

Dependencies:aricodeblockmodelsclicpp11digestglueigraphlatticelifecyclemagrittrMatrixpbmcapplypkgconfigR6RcppRcppArmadillorlangvctrs

Analysis of a mutualistic multipartite ecological network with GREMLINS
The dataset | Formatting the data | Inference | Plots | References
Rendered fromEcologicalNetwork.Rmdusingknitr::rmarkdown

Last update: 2023-03-10
Started: 2019-12-19

GREMLINS. Quick Mathematical Background
Mathematical Background | A collection of networks | A probabilistic latent variables model | Statistical inference | References
Rendered fromIntroduction.Rmdusingknitr::rmarkdown

Last update: 2020-11-27
Started: 2020-01-08

Illustration on a simulated multipartite network
Simulation of a complex multipartite network. | Inference with model selection | Inference without model selection | Missing data | References
Rendered fromSimulatedNetwork.Rmdusingknitr::rmarkdown

Last update: 2020-11-27
Started: 2020-01-08