Package: graphclust 1.3

Tabea Rebafka

graphclust: Hierarchical Graph Clustering for a Collection of Networks

Graph clustering using an agglomerative algorithm to maximize the integrated classification likelihood criterion and a mixture of stochastic block models. The method is described in the article "Model-based clustering of multiple networks with a hierarchical algorithm" by T. Rebafka (2022) <arxiv:2211.02314>.

Authors:Tabea Rebafka [aut, cre]

graphclust_1.3.tar.gz
graphclust_1.3.zip(r-4.7-any)graphclust_1.3.zip(r-4.6-any)graphclust_1.3.zip(r-4.5-any)
graphclust_1.3.tgz(r-4.6-any)graphclust_1.3.tgz(r-4.5-any)
graphclust_1.3.tar.gz(r-4.7-any)graphclust_1.3.tar.gz(r-4.6-any)
graphclust_1.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
graphclust/json (API)

# Install 'graphclust' in R:
install.packages('graphclust', repos = c('https://tabea17.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.

1.52 score 33 scripts 328 downloads 18 exports 18 dependencies

Last updated from:e813e9642e. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK114
source / vignettesOK148
linux-releaseOK110
macos-releaseOK272
macos-oldrelOK276
windows-develOK65
windows-releaseOK76
windows-oldrelOK70
wasm-releaseOK95

Exports:ARIdegreeSortfitSBMcollectionfitSimpleSBMgraphClusteringgraphMomentsClusteringgraphonL2normgraphonSpectralClusteringmetagraphmomentspermutParamplotDendrogramrCollectSBMrMixSBMrsbmsampleDPAsampleDPAMixturesbmNorm

Dependencies:blockmodelsclasscliclustercpp11digestglueigraphlatticelifecyclemagrittrMatrixpkgconfigRcppRcppArmadillorlangsClustvctrs