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: |
0.4.4 |
| 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: |
2022-08-24 |
| 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 |