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blockmodels (version 1.1.5)

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

Description

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

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Version

Install

install.packages('blockmodels')

Monthly Downloads

755

Version

1.1.5

License

LGPL-2.1

Maintainer

Jean-Benoist Leger

Last Published

December 1st, 2021

Functions in blockmodels (1.1.5)

BM_bernoulli_covariates

Perform estimation on blockmodels for bernoulli probability distribution aith covariates
BM_gaussian_covariates

Perform estimation on blockmodels for gaussian probability distribution with covariates
BM_bernoulli_covariates_fast

Perform estimation on blockmodels for bernoulli probability distribution aith covariates
BM_gaussian_multivariate

Perform estimation on blockmodels for multivariate gaussian probability distribution
BM_gaussian_multivariate_independent_homoscedastic

Perform estimation on blockmodels for multivariate independent homoscedastic gaussian probability distribution
BM_gaussian_multivariate_independent

Perform estimation on blockmodels for multivariate independent homoscedastic gaussian probability distribution
BM_gaussian

Perform estimation on blockmodels for gaussian probability distribution
BM_poisson_covariates

Perform estimation on blockmodels for poisson probability distribution aith covariates
BM_bernoulli_multiplex

Perform estimation on blockmodels for multiplex binary networks
BM_bernoulli

Perform estimation on blockmodels for bernoulli probability distribution
BM_poisson

Perform estimation on blockmodels for poisson probability distribution