sbm: Stochastic Blockmodels

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, and possibly covariate for Simple and Bipartite SBM). See Léger (2016) <arXiv:1602.07587>, 'Barbillon et al.' (2020) <doi:10.1111/rssa.12193> and 'Bar-Hen et al.' (2020) <arXiv:1807.10138>.

Version: 0.4.3
Depends: R (≥ 3.5.0)
Imports: alluvial, magrittr, dplyr, purrr, blockmodels, R6, Rcpp, igraph, ggplot2, GREMLINS, stringr, rlang, reshape2, prodlim
LinkingTo: Rcpp, RcppArmadillo
Suggests: testthat, spelling, knitr, rmarkdown, aricode, covr
Published: 2021-06-09
Author: Julien Chiquet ORCID iD [aut, cre], Sophie Donnet ORCID iD [aut], großBM team [ctb], Pierre Barbillon ORCID iD [aut]
Maintainer: Julien Chiquet <julien.chiquet at>
License: GPL (≥ 3)
NeedsCompilation: yes
Language: en-US
Materials: README NEWS
CRAN checks: sbm results


Reference manual: sbm.pdf
Vignettes: Multipartite Stochastic Block Models
Stochastic Block Models for Multiplex networks : application
Stochastic Block Models for Multiplex networks : principle and simulated datasets.
Simple and Bipartite Stochastic Block Models
Package source: sbm_0.4.3.tar.gz
Windows binaries: r-devel:, r-devel-UCRT:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): sbm_0.4.3.tgz, r-release (x86_64): sbm_0.4.3.tgz, r-oldrel: sbm_0.4.3.tgz
Old sources: sbm archive

Reverse dependencies:

Reverse imports: missSBM


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