jchiquet/missSBM: Handling missing data in Stochastic Block Models

When a network is partially observed (here, missing dyads, that is, entries with NA in the adjacency matrix rather than 1 or 0), it is possible to account for the underlying process that generates those NAs. missSBM is an R package for adjusting the popular Stochastic Block Models from network data sampled under various missing data conditions.

Getting started

Package details

MaintainerJulien Chiquet <[email protected]>
LicenseGPL-3
Version0.1.0-9000
URL https://github.com/jchiquet/missSBM (dev version)
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("devtools")
library(devtools)
install_github("jchiquet/missSBM")
jchiquet/missSBM documentation built on March 25, 2019, 1:34 a.m.