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) .

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.

blockmodels was written by Jean-Benoist Leger, its original author and main developer. If you use it, please cite:

Jean-Benoist Leger (2016). Blockmodels: A R-package for estimating in Latent Block Model and Stochastic Block Model, with various probability functions, with or without covariates. arXiv:1602.07587.

(see also citation("blockmodels")).

Installation

The stable version of blockmodels can be installed from CRAN with:

install.packages("blockmodels")

The development version can be installed from GitHub with:

# install.packages("pak")
pak::pak("GrossSBM/blockmodels")

Documentation

The package documentation is available on CRAN and on the package website.