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>.">

clustAnalytics: Cluster Evaluation on Graphs (original) (raw)

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 gmail.com>
BugReports: https://github.com/martirm/clustAnalytics/issues
License: GPL (≥ 3)
URL: https://github.com/martirm/clustAnalytics
NeedsCompilation: yes
CRAN checks: clustAnalytics results

Documentation:

Downloads:

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=clustAnalyticsto link to this page.