The mlsbm package fits single level stochastic block
models (SBMs) and multilevel stochastic block models (MLSBMs) using
efficient Gibbs sampling with Rcpp. It can also be used to efficiently
sample from SBMs and MLSBMs.
The mlsbm package can be installed directly from this
repository using devtools.
devtools::install_github("carter-allen/mlsbm")# load mlsbm package
library(mlsbm)
# load included 3-layer network data
data(AL)
# fit a multilevel SBM with 3 clusters
fit <- fit_mlsbm(AL,3)
# examine the inferred clustering
table(fit$z)
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