High-Performance Open-Source Archive
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 |
| DOI: | 10.32614/CRAN.package.motifcluster |
| 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 |
| Reference manual: | motifcluster.html , motifcluster.pdf |
| Vignettes: |
using_the_motifcluster_package (source, R code) |
| 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 |
Please use the canonical form https://CRAN.R-project.org/package=motifcluster to link to this page.
Need mirroring services?
Contact our team at info@vpspulse.com.
Mirror powered by VPSpulse
Infrastructure sponsored by VPSPulse & Secure Payments by ArionPay.