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) <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: 0.1
Imports: Matrix, stats, methods, randnet, RSpectra, irlba, data.tree, data.table, stringr, dendextend
Published: 2019-08-24
Author: Tianxi Li, Lihua Lei, Sharmodeep Bhattacharyya, Purnamrita Sarkar, Peter Bickel, and Elizaveta Levina
Maintainer: Tianxi Li <tianxili at virginia.edu>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: HCD results

Downloads:

Reference manual: HCD.pdf
Package source: HCD_0.1.tar.gz
Windows binaries: r-devel: HCD_0.1.zip, r-devel-gcc8: HCD_0.1.zip, r-release: HCD_0.1.zip, r-oldrel: HCD_0.1.zip
OS X binaries: r-release: HCD_0.1.tgz, r-oldrel: HCD_0.1.tgz

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