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:

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