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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
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:

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

Downloads:

Package source: clustAnalytics_0.5.5.tar.gz
Windows binaries: r-devel: clustAnalytics_0.5.5.zip, r-release: clustAnalytics_0.5.5.zip, r-oldrel: clustAnalytics_0.5.5.zip
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

Linking:

Please use the canonical form https://CRAN.R-project.org/package=clustAnalytics to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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