motifcluster: Motif-Based Spectral Clustering of Weighted Directed Networks

Tools for spectral clustering of weighted directed networks using motif adjacency matrices. Methods perform well on large and sparse networks, and random sampling methods for generating weighted directed networks are also provided. Based on methodology detailed in Underwood, Elliott and Cucuringu (2020) <doi:10.48550/arXiv.2004.01293>.

Version:	0.2.3
Depends:	R (≥ 3.6.0)
Imports:	igraph (≥ 1.2.5), Matrix (≥ 1.2), RSpectra (≥ 0.16.0)
Suggests:	covr (≥ 3.5.0), knitr (≥ 1.28), mclust (≥ 5.4.6), rmarkdown (≥ 2.1), testthat (≥ 2.3.2)
Published:	2022-11-18
Author:	William George Underwood [aut, cre]
Maintainer:	William George Underwood <wgu2 at princeton.edu>
BugReports:	https://github.com/wgunderwood/motifcluster/issues
License:	GPL-3
URL:	https://github.com/wgunderwood/motifcluster
NeedsCompilation:	no
Language:	en-US
Materials:	README NEWS
CRAN checks:	motifcluster results

Documentation:

Reference manual:	motifcluster.pdf
Vignettes:	using_the_motifcluster_package

Downloads:

Package source:	motifcluster_0.2.3.tar.gz
Windows binaries:	r-devel: motifcluster_0.2.3.zip, r-release: motifcluster_0.2.3.zip, r-oldrel: motifcluster_0.2.3.zip
macOS binaries:	r-release (arm64): motifcluster_0.2.3.tgz, r-oldrel (arm64): motifcluster_0.2.3.tgz, r-release (x86_64): motifcluster_0.2.3.tgz, r-oldrel (x86_64): motifcluster_0.2.3.tgz
Old sources:	motifcluster archive

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