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HCD: Hierarchical Community Detection by Recursive Partitioning

Hierarchical community detection on networks by a recursive spectral partitioning strategy, which is shown to be effective and efficient in Li, Lei, Bhattacharyya, Sarkar, Bickel, and Levina (2018) <doi:10.48550/arXiv.1810.01509>. The package also includes a data generating function for a binary tree stochastic block model, a special case of stochastic block model that admits hierarchy between communities.

Version:1.0
Imports:Matrix, stats, methods,randnet,RSpectra,irlba,data.tree,data.table,stringr,dendextend
Published:2024-02-02
DOI:10.32614/CRAN.package.HCD
Author:Tianxi Li [aut, cre], Lihua Lei [aut], Sharmodeep Bhattacharyya [aut], Purna Sarkar [aut], Peter Bickel [aut], Elizeveta Levina [aut]
Maintainer:Tianxi Li <tianxili at umn.edu>
License:GPL-2 |GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation:no
CRAN checks:HCD results

Documentation:

Reference manual:HCD.html ,HCD.pdf

Downloads:

Package source: HCD_1.0.tar.gz
Windows binaries: r-devel:HCD_1.0.zip, r-release:HCD_1.0.zip, r-oldrel:HCD_1.0.zip
macOS binaries: r-release (arm64):HCD_1.0.tgz, r-oldrel (arm64):HCD_1.0.tgz, r-release (x86_64):HCD_1.0.tgz, r-oldrel (x86_64):HCD_1.0.tgz
Old sources: HCD archive

Reverse dependencies:

Reverse imports:GRANDpriv

Linking:

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


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