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 imports: | Seurat |
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