clustAnalytics: Cluster Evaluation on Graphs

Evaluates the stability and significance of clusters on 'igraph' graphs. Supports weighted and unweighted graphs. Implements the cluster evaluation methods defined by Arratia A, Renedo M (2021) <doi:10.7717/peerj-cs.600>. Also includes an implementation of the Reduced Mutual Information introduced by Newman et al. (2020) <doi:10.1103/PhysRevE.101.042304>.

Version: 0.5.5
Depends: R (≥ 2.10), igraph
Imports: Rcpp (≥ 1.0.1), mcclust, mclust, truncnorm, boot, fossil, aricode, dplyr, Rdpack
LinkingTo: Rcpp
Suggests: igraphdata, knitr, rmarkdown, testthat
Published: 2024-02-18
DOI: 10.32614/CRAN.package.clustAnalytics
Author: Martí Renedo Mirambell
Maintainer: Martí Renedo Mirambell <marti.renedo at>
License: GPL (≥ 3)
NeedsCompilation: yes
CRAN checks: clustAnalytics results


Reference manual: clustAnalytics.pdf
Vignettes: Cluster Stability
Graph Rewiring Functions
Other Functions
Graph Scoring Functions
Stability and Significance Examples


Package source: clustAnalytics_0.5.5.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): clustAnalytics_0.5.5.tgz, r-oldrel (arm64): clustAnalytics_0.5.5.tgz, r-release (x86_64): clustAnalytics_0.5.5.tgz, r-oldrel (x86_64): clustAnalytics_0.5.5.tgz
Old sources: clustAnalytics archive


Please use the canonical form to link to this page.