<?xml version="1.0" encoding="UTF-8"?>
<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:title>Hierarchical Community Detection by Recursive Partitioning</dc:title>
  <dc:title>R package HCD version 1.0</dc:title>
  <dc:description>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) &lt;arXiv:1810.01509&gt;. 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.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Imports: Matrix, stats, methods, randnet, RSpectra, irlba, data.tree,
data.table,stringr,dendextend</dc:relation>
  <dc:creator>Tianxi Li &lt;tianxili@umn.edu&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Tianxi Li [aut, cre],
  Lihua Lei [aut],
  Sharmodeep Bhattacharyya [aut],
  Purna Sarkar [aut],
  Peter Bickel [aut],
  Elizeveta Levina [aut]</dc:contributor>
  <dc:rights>GPL (&gt;= 2)</dc:rights>
  <dc:date>2024-02-02</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=HCD</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.HCD</dc:identifier>
</oai_dc:dc>
