graphclust: Hierarchical Graph Clustering for a Collection of Networks

Graph clustering using an agglomerative algorithm to maximize the integrated classification likelihood criterion and a mixture of stochastic block models. The method is described in the article "Model-based clustering of multiple networks with a hierarchical algorithm" by T. Rebafka (2022) <doi:10.48550/arXiv.2211.02314>.

Version: 1.3
Imports: blockmodels, igraph, parallel, sClust
Published: 2023-06-07
Author: Tabea Rebafka [aut, cre]
Maintainer: Tabea Rebafka <tabea.rebafka at sorbonne-universite.fr>
License: GPL-2
NeedsCompilation: no
CRAN checks: graphclust results

Documentation:

Reference manual: graphclust.pdf

Downloads:

Package source: graphclust_1.3.tar.gz
Windows binaries: r-devel: graphclust_1.3.zip, r-release: graphclust_1.3.zip, r-oldrel: graphclust_1.3.zip
macOS binaries: r-release (arm64): graphclust_1.3.tgz, r-oldrel (arm64): graphclust_1.3.tgz, r-release (x86_64): graphclust_1.3.tgz
Old sources: graphclust archive

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