Chabert-Liddell / colSBM

R package for the joint stochastic blockmodeling of collection of networks
https://Chabert-Liddell.github.io/colSBM/
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colSBM

Lifecycle:
experimental

colSBM is an R package which implements methods for clustering and inferring the mesoscale structure for collection of networks. In particular, it allows to:

Mathematical details of the methods as well as simulation studies and applications can be find in Chabert-Liddell, Barbillon, and Donnet (2024) .

Installation

You can install the development version of colSBM from GitHub with:

# install.packages("devtools")
devtools::install_github("Chabert-Liddell/colSBM")

References

Chabert-Liddell, Saint-Clair, Pierre Barbillon, and Sophie Donnet. 2024. “Learning Common Structures in a Collection of Networks. An Application to Food Webs.” *The Annals of Applied Statistics* 18 (2): 1213–35. .