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>.

Package details

AuthorJulien Chiquet [aut, cre] (<https://orcid.org/0000-0002-3629-3429>), Sophie Donnet [aut] (<https://orcid.org/0000-0003-4370-7316>), großBM team [ctb], Pierre Barbillon [aut] (<https://orcid.org/0000-0002-7766-7693>)
MaintainerJulien Chiquet <julien.chiquet@inrae.fr>
LicenseGPL (>= 3)
Version0.4.6
URL https://grosssbm.github.io/sbm/
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("sbm")

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sbm documentation built on May 29, 2024, 8:20 a.m.