Package: blockmodels 1.2.1

Julien Chiquet

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. See Leger (2016) <doi:10.48550/arXiv.1602.07587>.

Authors:Jean-Benoist Leger [aut], Julien Chiquet [aut, cre], Pierre Barbillon [aut], Louis Lacoste [aut]

blockmodels_1.2.1.tar.gz
blockmodels_1.2.1.zip(r-4.7-x86_64)blockmodels_1.2.1.zip(r-4.7-arm64)blockmodels_1.2.1.zip(r-4.6-x86_64)blockmodels_1.2.1.zip(r-4.6-arm64)blockmodels_1.2.1.zip(r-4.5-x86_64)
blockmodels_1.2.1.tgz(r-4.6-x86_64)blockmodels_1.2.1.tgz(r-4.6-arm64)blockmodels_1.2.1.tgz(r-4.5-x86_64)blockmodels_1.2.1.tgz(r-4.5-arm64)
blockmodels_1.2.1.tar.gz(r-4.7-arm64)blockmodels_1.2.1.tar.gz(r-4.7-x86_64)blockmodels_1.2.1.tar.gz(r-4.6-arm64)blockmodels_1.2.1.tar.gz(r-4.6-x86_64)
blockmodels_1.2.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
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/grosssbm/blockmodels/issues

Pkgdown/docs site:https://grosssbm.github.io

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

On CRAN:

Conda:

openblascpp

6.55 score 4 stars 9 packages 73 scripts 761 downloads 11 exports 3 dependencies

Last updated from:806686c63e. Checks:15 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK126
linux-devel-x86_64OK142
source / vignettesOK180
linux-release-arm64OK119
linux-release-x86_64OK238
macos-release-arm64OK145
macos-release-x86_64OK286
macos-oldrel-arm64OK186
macos-oldrel-x86_64OK259
windows-devel-arm64OK220
windows-devel-x86_64OK207
windows-release-arm64OK247
windows-release-x86_64OK106
windows-oldrel-x86_64OK122
wasm-releaseOK94

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}