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. <arXiv:1810.08473>.

Version: 0.3.7
Imports: methods, reticulate, Matrix, igraph
Suggests: bipartite, covr, data.table, devtools, graphsim, knitr, multiplex, multinet, markdown, network, RColorBrewer, rmarkdown, spelling, testthat, tibble
Published: 2021-01-26
Author: S. Thomas Kelly [aut, cre, trl], Vincent A. Traag [com]
Maintainer: S. Thomas Kelly <tom.kelly at riken.jp>
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


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
Package source: leiden_0.3.7.tar.gz
Windows binaries: r-devel: leiden_0.3.7.zip, r-release: leiden_0.3.7.zip, r-oldrel: leiden_0.3.7.zip
macOS binaries: r-release: leiden_0.3.7.tgz, r-oldrel: leiden_0.3.7.tgz
Old sources: leiden archive

Reverse dependencies:

Reverse imports: Seurat


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