Package: sbm
Title: Stochastic Blockmodels
Version: 1.0.0
Authors@R: 
  c(person(given = "Julien", family = "Chiquet", role = c("aut", "cre"),
           email = "julien.chiquet@inrae.fr",
           comment = c(ORCID = "0000-0002-3629-3429")),
    person(given = "Sophie", family = "Donnet", role = c("aut"),
           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")),
    person(given = "Louis", family = "Lacoste", role = c("aut"),
           email = "louis.lacoste@inrae.fr"),
    person(given = "Jean-Benoist", family = "Leger", role = c("ctb"),
           email = "jbleger@hds.utc.fr"),
    person(given = "Julie", family = "Aubert", role = c("ctb"),
           email = "julie.aubert@inrae.fr",
           comment = c(ORCID = "0000-0001-5203-5748")),
    person("großBM team", role = c("ctb")))
Description: A collection of tools and functions to adjust a variety of stochastic blockmodels (SBM). 
  Supports at the moment Simple, Bipartite, 'Multipartite' and Multiplex SBM (undirected or directed with Bernoulli, Poisson or Gaussian emission laws on the edges). For Simple and Bipartite SBM, covariates can be given on the edges, or on the nodes to drive the block memberships, and the network may contain missing values. See Léger (2016) <doi:10.48550/arXiv.1602.07587>, 'Barbillon et al.' (2020) <doi:10.1111/rssa.12193> and 'Bar-Hen et al.' (2020) <doi:10.48550/arXiv.1807.10138>. 
URL: https://grosssbm.github.io/sbm/
BugReports: https://github.com/GrossSBM/sbm/issues
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Suggests: testthat, spelling, knitr, rmarkdown, aricode, pROC, covr,
        quarto, patchwork
Language: en-US
Imports: alluvial, magrittr, dplyr, purrr, blockmodels (>= 1.2.1), R6,
        Rcpp, igraph, ggplot2, GREMLINS, rlang, reshape2, prodlim,
        grDevices
Collate: 'R6Class-SBM.R' 'R6Class-BipartiteSBM.R'
        'R6Class-BipartiteSBM_fit.R' 'R6Class-MultipartiteSBM.R'
        'R6Class-MultipartiteSBM_fit.R' 'R6Class-MultiplexSBM_fit.R'
        'R6Class-SimpleSBM.R' 'R6Class-SimpleSBM_fit.R' 'RcppExports.R'
        'defineSBM.R' 'estimate.R' 'fungusTreeNetwork.R'
        'multipartiteEcologicalNetwork.R' 'plotAlluvial.R'
        'plotMyGraphon.R' 'plotMyMatrix.R' 'plotMyMultipartiteMatrix.R'
        'plotMyMultiplexMatrix.R' 'sample.R' 'sbm-package.R'
        'utils-pipe.R' 'utils.R' 'utils_plot.R' 'war.R'
LinkingTo: Rcpp, RcppArmadillo
VignetteBuilder: knitr, quarto
SystemRequirements: Quarto command line tool
        (<https://github.com/quarto-dev/quarto-cli>)
Depends: R (>= 3.5.0)
Config/roxygen2/version: 8.1.1
NeedsCompilation: yes
Packaged: 2026-11-10 14:05:39 UTC; jchiquet
Author: Julien Chiquet [aut, cre] (ORCID:
    <https://orcid.org/0000-0002-3629-3429>),
  Sophie Donnet [aut] (ORCID: <https://orcid.org/0000-0003-4370-7316>),
  Pierre Barbillon [aut] (ORCID: <https://orcid.org/0000-0002-7766-7693>),
  Louis Lacoste [aut],
  Jean-Benoist Leger [ctb],
  Julie Aubert [ctb] (ORCID: <https://orcid.org/0000-0001-5203-5748>),
  großBM team [ctb]
Maintainer: Julien Chiquet <julien.chiquet@inrae.fr>
Repository: CRAN
Date/Publication: 2026-11-10 15:10:02 UTC
