Package: clustAnalytics 0.5.5

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>.

Authors:Martí Renedo Mirambell

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clustAnalytics.pdf |clustAnalytics.html✨
clustAnalytics/json (API)

Peer review:

Bug tracker:https://github.com/martirm/clustanalytics/issues

On CRAN:

23 exports 4 stars 1.27 score 34 dependencies 30 scripts 330 downloads

Last updated 7 months agofrom:f1bf549cda. Checks:OK: 9. Indexed: yes.

Exports:apply_subgraphsaverage_degreeaverage_odfbarabasi_albert_blocksboot_alg_listconductancecoveragecut_ratiodensity_ratioedges_insideevaluate_significanceevaluate_significance_rexpansionFOMDinternal_densitymax_odfnormalized_cutreduced_mutual_informationrelabelrewireCppscoring_functionsweighted_clustering_coefficientweighted_transitivity

Dependencies:aricodebootclicpp11dplyrfansiforeignfossilgenericsglueigraphlatticelifecyclelpSolvemagrittrmapsMatrixmcclustmclustpillarpkgconfigR6rbibutilsRcppRdpackrlangshapefilessptibbletidyselecttruncnormutf8vctrswithr