DESCRIPTION

Package: GREMLINS
Type: Package
Title: Generalized Multipartite Networks
Version: 0.2.1
Authors@R:  c(
          person(given = "Sophie", family = "Donnet", role = c("aut", "cre"), email = "sophie.donnet@inrae.fr", comment = c(ORCID = "0000-0003-4370-7316")),
          person(given = "Pierre", family = "Barbillon", role = c("aut"), email = "pierre.barbillon@agroparistech.fr",comment = c(ORCID = "0000-0002-7766-7693"))
          )
Description: 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>.  
URL: https://GrossSBM.github.io/GREMLINS/
BugReports: https://github.com/GrossSBM/GREMLINS/issues
License: GPL-3
Encoding: UTF-8
LazyData: true
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.2.3
Suggests: 
    testthat (>= 2.1.0),
    spelling,
    knitr,
    rmarkdown
Language: en-US
Imports: 
    R6,
    parallel,
    stats,
    utils,
    igraph,
    blockmodels,
    aricode,
    pbmcapply
Collate: 
      'GREMLINS_package.R'
      'BMPOO.R'
      'defineNetwork.R'
      'multipartiteBM.R'
      'VEMPOOVersion.R'
      'multipartiteBMFixedModel.R'
      'initializeVEM.R'
      'searchVKPOOVersion.R'
      'utils.R'
      'compLikICL.R'
      'extractClustersMBM.R'
      'rMBM.R'
      'comparClassif.R'
      'MPEcoNetwork.R'
      'predictMBM.R'
VignetteBuilder: knitr
Depends: R (>= 3.5.0)