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: | 0.3.3 |
| Imports: | methods, reticulate, Matrix, igraph |
| Suggests: | data.table, tibble, devtools, covr, testthat, spelling, knitr, rmarkdown, RColorBrewer |
| Published: | 2020-02-04 |
| 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 Graph Objects Running the Leiden algorithm with R on adjacency matrices |
| Package source: | leiden_0.3.3.tar.gz |
| Windows binaries: | r-devel: leiden_0.3.3.zip, r-release: leiden_0.3.3.zip, r-oldrel: leiden_0.3.3.zip |
| macOS binaries: | r-release: leiden_0.3.3.tgz, r-oldrel: leiden_0.3.3.tgz |
| Old sources: | leiden archive |
| Reverse imports: | Seurat |
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