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leiden: R Implementation of Leiden Clustering Algorithm

Implements the 'Python leidenalg' module to be called in R. Enables clustering using the leiden algorithm for partition a graph into communities. See the 'Python' repository for more details: <https://github.com/vtraag/leidenalg> Traag et al (2018) From Louvain to Leiden: guaranteeing well-connected communities. <doi:10.48550/arXiv.1810.08473>.

Version: 0.4.3.1
Imports: methods, reticulate, Matrix, igraph (≥ 1.2.7)
Suggests: bipartite, covr, data.table, devtools, graphsim, knitr, markdown, multiplex, multinet, network, qpdf, RColorBrewer, remotes, rmarkdown, spelling, testthat, tibble
Published: 2023-11-17
DOI: 10.32614/CRAN.package.leiden
Author: S. Thomas Kelly [aut, cre, trl], Vincent A. Traag [com]
Maintainer: S. Thomas Kelly <tomkellygenetics at gmail.com>
BugReports: https://github.com/TomKellyGenetics/leiden/issues
License: GPL-3 | file LICENSE
URL: https://github.com/TomKellyGenetics/leiden
NeedsCompilation: no
Language: en-US
Citation: leiden citation info
Materials: NEWS
CRAN checks: leiden results

Documentation:

Reference manual: leiden.pdf
Vignettes: Benchmarking the Leiden algorithm
Running the Leiden algorithm with R on bipartite graphs
Running the Leiden algorithm with R on Graph Objects
Running the Leiden algorithm with R on adjacency matrices
Running the Leiden algorithm with R on multiplex graphs

Downloads:

Package source: leiden_0.4.3.1.tar.gz
Windows binaries: r-devel: leiden_0.4.3.1.zip, r-release: leiden_0.4.3.1.zip, r-oldrel: leiden_0.4.3.1.zip
macOS binaries: r-release (arm64): leiden_0.4.3.1.tgz, r-oldrel (arm64): leiden_0.4.3.1.tgz, r-release (x86_64): leiden_0.4.3.1.tgz, r-oldrel (x86_64): leiden_0.4.3.1.tgz
Old sources: leiden archive

Reverse dependencies:

Reverse imports: RaceID, Seurat
Reverse suggests: FCPS, MOSim

Linking:

Please use the canonical form https://CRAN.R-project.org/package=leiden to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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