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], groÃBM 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 In views: GraphicalModels, NetworkAnalysis CRAN checks: sbm resultsRetroSearch is an open source project built by @garambo | Open a GitHub Issue
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