CRAN/E | sbm

sbm

Stochastic Blockmodels

Installation

About

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) doi:10.1111/rssa.12193 and 'Bar-Hen et al.' (2020) .

grosssbm.github.io/sbm/
Bug report File report

Key Metrics

Version 0.4.6
R ≥ 3.5.0
Published 2024-01-31 92 days ago
Needs compilation? yes
License GPL (≥ 3)
CRAN checks sbm results
Language en-US

Downloads

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Maintainer

Maintainer

Julien Chiquet

julien.chiquet@inrae.fr

Authors

Julien Chiquet

aut / cre

Sophie Donnet

aut

großBM team

ctb

Pierre Barbillon

aut

Material

README
NEWS
Reference manual
Package source

Vignettes

Multipartite Stochastic Block Models
Stochastic Block Models for Multiplex networks : principle and simulated datasets.
Stochastic Block Models for Multiplex networks : application
Simple and Bipartite Stochastic Block Models

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

sbm archive

Depends

R ≥ 3.5.0

Imports

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

Suggests

testthat
spelling
knitr
rmarkdown
aricode
covr

LinkingTo

Rcpp
RcppArmadillo

Reverse Depends

shinySbm

Reverse Imports

missSBM