Stochastic Blockmodels

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) and 'Bar-Hen et al.' (2020) .

sbm

The goal of the package sbm is to regroup into a unique framework tools for estimating and manipulating variants of the stochastic blockmodel.

Installation

The last stable version is available on CRAN with:

install.packages("sbm")

You can install the development version from GitHub with:

# install.packages("devtools")
devtools::install_github("GrossSBM/sbm")