Package: HCD 1.0

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.

Authors:Tianxi Li [aut, cre], Lihua Lei [aut], Sharmodeep Bhattacharyya [aut], Purna Sarkar [aut], Peter Bickel [aut], Elizeveta Levina [aut]

HCD_1.0.tar.gz
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HCD_1.0.tgz(r-4.4-any)HCD_1.0.tgz(r-4.3-any)
HCD_1.0.tar.gz(r-4.5-noble)HCD_1.0.tar.gz(r-4.4-noble)
HCD_1.0.tgz(r-4.4-emscripten)HCD_1.0.tgz(r-4.3-emscripten)
HCD.pdf |HCD.html✨
HCD/json (API)

# Install 'HCD' in R:
install.packages('HCD', repos = c('https://tianxili.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 5 scripts 223 downloads 1 mentions 4 exports 75 dependencies

Last updated 10 months agofrom:20bf22511c. Checks:OK: 6 ERROR: 1. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 19 2024
R-4.5-winOKNov 19 2024
R-4.5-linuxOKNov 19 2024
R-4.4-winOKNov 19 2024
R-4.4-macOKNov 19 2024
R-4.3-winOKNov 19 2024
R-4.3-macERRORNov 19 2024

Exports:BTSBMgen.A.from.PHCDHCDplot

Dependencies:abindashAUCbitopsbootcliclustercolorspacedata.tabledata.treedendextenddeSolveentropyfansifarverfdafdsFNNgamm4ggplot2gluegridExtragrpreggtablehdrcdeirlbaisobandkernlabKernSmoothkslabelinglatticelifecyclelme4locfitmagicmagrittrMASSMatrixmclustmgcvminqamulticoolmunsellmvtnormnlmenloptrnnlspbspcaPPpillarpkgconfigpoweRlawpracmaR6rainbowrandnetRColorBrewerRcppRcppEigenRCurlrefundrlangRLRsimRSpectrascalessparseFLMMstringistringrtibbleutf8vctrsviridisviridisLitewithr