A collection of tools and function to adjust a variety of stochastic blockmodels (SBM). Support at the moment Simple and Bipartite SBM (undirected and directed) for Bernoulli, Poisson and Gaussian emission laws of the edges as described in Léger, 2016 <arxiv:1602.07587>.
Version: | 0.2.1 |
Depends: | R (≥ 3.5.0) |
Imports: | magrittr, blockmodels, R6, Rcpp, ggplot2 |
LinkingTo: | Rcpp, RcppArmadillo |
Suggests: | testthat, spelling, knitr, rmarkdown, alluvial, igraph, aricode, covr |
Published: | 2020-07-17 |
Author: | Julien Chiquet |
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 |
Reference manual: | sbm.pdf |
Vignettes: |
SBM_tree_fungus_network |
Package source: | sbm_0.2.1.tar.gz |
Windows binaries: | r-devel: sbm_0.2.1.zip, r-release: sbm_0.2.1.zip, r-oldrel: sbm_0.2.1.zip |
macOS binaries: | r-release: sbm_0.2.1.tgz, r-oldrel: sbm_0.2.1.tgz |
Old sources: | sbm archive |
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