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) , 'Barbillon et al.' (2020) and 'Bar-Hen et al.' (2020) .


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Reference manual

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install.packages("sbm")

0.4.3 by Julien Chiquet, 4 months ago


https://grosssbm.github.io/sbm/


Report a bug at https://github.com/GrossSBM/sbm/issues


Browse source code at https://github.com/cran/sbm


Authors: Julien Chiquet [aut, cre] , Sophie Donnet [aut] , großBM team [ctb] , Pierre Barbillon [aut]


Documentation:   PDF Manual  


GPL (>= 3) license


Imports alluvial, magrittr, dplyr, purrr, blockmodels, R6, Rcpp, igraph, ggplot2, GREMLINS, stringr, rlang, reshape2, prodlim

Suggests testthat, spelling, knitr, rmarkdown, aricode, covr

Linking to Rcpp, RcppArmadillo


Imported by missSBM.


See at CRAN