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) <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>.

Version:	0.4.7
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:	2024-09-16
DOI:	10.32614/CRAN.package.sbm
Author:	Julien Chiquet [aut, cre], Sophie Donnet [aut], großBM team [ctb], Pierre Barbillon [aut]
Maintainer:	Julien Chiquet <julien.chiquet at inrae.fr>
BugReports:	https://github.com/GrossSBM/sbm/issues
License:	GPL (≥ 3)
URL:	https://grosssbm.github.io/sbm/
NeedsCompilation:	yes
Language:	en-US
Materials:	README NEWS
CRAN checks:	sbm results

Documentation:

Reference manual:	sbm.pdf
Vignettes:	Multipartite Stochastic Block Models (source, R code) Stochastic Block Models for Multiplex networks : principle and simulated datasets. (source, R code) Stochastic Block Models for Multiplex networks : application (source, R code) Simple and Bipartite Stochastic Block Models (source, R code)

Downloads:

Package source:	sbm_0.4.7.tar.gz
Windows binaries:	r-devel: sbm_0.4.7.zip, r-release: sbm_0.4.7.zip, r-oldrel: sbm_0.4.7.zip
macOS binaries:	r-release (arm64): sbm_0.4.7.tgz, r-oldrel (arm64): sbm_0.4.7.tgz, r-release (x86_64): sbm_0.4.7.tgz, r-oldrel (x86_64): sbm_0.4.7.tgz
Old sources:	sbm archive

Reverse dependencies:

Reverse depends:	shinySbm
Reverse imports:	missSBM

Linking:

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