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
HCD_1.0.zip(r-4.7)HCD_1.0.zip(r-4.6)HCD_1.0.zip(r-4.5)
HCD_1.0.tgz(r-4.6-any)HCD_1.0.tgz(r-4.5-any)
HCD_1.0.tar.gz(r-4.7-any)HCD_1.0.tar.gz(r-4.6-any)
HCD_1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
HCD/json (API)

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

On CRAN:

Conda:

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

1.48 score 1 packages 3 scripts 198 downloads 1 mentions 4 exports 74 dependencies

Last updated from:20bf22511c. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK170
source / vignettesOK247
linux-release-x86_64OK153
macos-release-arm64OK132
macos-oldrel-arm64OK115
windows-develOK152
windows-releaseOK119
windows-oldrelOK119
wasm-releaseOK117

Exports:BTSBMgen.A.from.PHCDHCDplot

Dependencies:abindashAUCbitopsbootcliclustercolorspacecpp11data.tabledata.treedendextenddeSolveentropyfarverfdafdsFNNgamm4ggplot2gluegridExtragrpreggtablehdrcdeirlbaisobandkernlabKernSmoothkslabelinglatticelifecyclelme4locfitmagicmagrittrMASSMatrixmclustmgcvminqamulticoolmvtnormnlmenloptrnnlspbspcaPPpoweRlawpracmaR6rainbowrandnetrbibutilsRColorBrewerRcppRcppEigenRCurlRdpackreformulasrefundrlangRLRsimRSpectraS7scalessparseFLMMstringistringrvctrsviridisviridisLitewithr