Package: blockmodels 1.1.5

Jean-Benoist Leger

blockmodels: Latent and Stochastic Block Model Estimation by a 'V-EM' Algorithm

Latent and Stochastic Block Model estimation by a Variational EM algorithm. Various probability distribution are provided (Bernoulli, Poisson...), with or without covariates.

Authors:Jean-Benoist Leger <[email protected]>, Pierre Barbillon <[email protected]>, Julien Chiquet <[email protected]>

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manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
blockmodels/json (API)

# Install 'blockmodels' in R:
install.packages('blockmodels', repos = c('https://grosssbm.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/jb-leger/blockmodels/issues

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

openblascpp

5.32 score 4 stars 8 packages 73 scripts 799 downloads 11 exports 3 dependencies

Last updated from:ec08a3ae43. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK163
linux-devel-x86_64OK142
source / vignettesOK183
linux-release-arm64OK160
linux-release-x86_64OK153
macos-release-arm64OK113
macos-release-x86_64OK205
macos-oldrel-arm64OK100
macos-oldrel-x86_64OK247
windows-develOK145
windows-releaseOK128
windows-oldrelOK179
wasm-releaseOK141

Exports:BM_bernoulliBM_bernoulli_covariatesBM_bernoulli_covariates_fastBM_bernoulli_multiplexBM_gaussianBM_gaussian_covariatesBM_gaussian_multivariateBM_gaussian_multivariate_independentBM_gaussian_multivariate_independent_homoscedasticBM_poissonBM_poisson_covariates

Dependencies:digestRcppRcppArmadillo

Readme and manuals

Help Manual

Help pageTopics
Perform estimation on blockmodels for bernoulli probability distributionBM_bernoulli \S4method{BM_bernoulli}{new}
Perform estimation on blockmodels for bernoulli probability distribution aith covariatesBM_bernoulli_covariates \S4method{BM_bernoulli_covariates}{new}
Perform estimation on blockmodels for bernoulli probability distribution aith covariatesBM_bernoulli_covariates_fast \S4method{BM_bernoulli_covariates_fast}{new}
Perform estimation on blockmodels for multiplex binary networksBM_bernoulli_multiplex \S4method{BM_bernoulli_multiplex}{new}
Perform estimation on blockmodels for gaussian probability distributionBM_gaussian \S4method{BM_gaussian}{new}
Perform estimation on blockmodels for gaussian probability distribution with covariatesBM_gaussian_covariates \S4method{BM_gaussian_covariates}{new}
Perform estimation on blockmodels for multivariate gaussian probability distributionBM_gaussian_multivariate \S4method{BM_gaussian_multivariate}{new}
Perform estimation on blockmodels for multivariate independent homoscedastic gaussian probability distributionBM_gaussian_multivariate_independent \S4method{BM_gaussian_multivariate_independent}{new}
Perform estimation on blockmodels for multivariate independent homoscedastic gaussian probability distributionBM_gaussian_multivariate_independent_homoscedastic \S4method{BM_gaussian_multivariate_independent_homoscedastic}{new}
Perform estimation on blockmodels for poisson probability distributionBM_poisson \S4method{BM_poisson}{new}
Perform estimation on blockmodels for poisson probability distribution aith covariatesBM_poisson_covariates \S4method{BM_poisson_covariates}{new}