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A graph community detection algorithm that aims to be performant on large graphs and robust, returning consistent results across runs. SpeakEasy 2 (SE2), the underlying algorithm, is described in Chris Gaiteri, David R. Connell & Faraz A. Sultan et al. (2023) <doi:10.1186/s13059-023-03062-0>. The core algorithm is written in 'C', providing speed and keeping the memory requirements low. This implementation can take advantage of multiple computing cores without increasing memory usage. SE2 can detect community structure across scales, making it a good choice for biological data, which often has hierarchical structure. Graphs can be passed to the algorithm as adjacency matrices using base 'R' matrices, the 'Matrix' library, 'igraph' graphs, or any data that can be coerced into a matrix.
Version: | 0.1.2 |
Imports: | Matrix, methods |
Suggests: | igraph, scRNAseq, SummarizedExperiment, knitr, rmarkdown, testthat (≥ 3.0.0) |
Published: | 2024-07-29 |
DOI: | 10.32614/CRAN.package.speakeasyR |
Author: | David Connell |
Maintainer: | David Connell <david32 at dcon.addy.io> |
BugReports: | https://github.com/SpeakEasy-2/speakeasyR/issues |
License: | GPL (≥ 3) |
URL: | https://github.com/SpeakEasy-2/speakeasyR |
NeedsCompilation: | yes |
SystemRequirements: | arpack (optional) |
Materials: | README NEWS |
CRAN checks: | speakeasyR results [issues need fixing before 2024-08-19] |
Reference manual: | speakeasyR.pdf |
Vignettes: |
speakeasyR |
Package source: | speakeasyR_0.1.2.tar.gz |
Windows binaries: | r-devel: speakeasyR_0.1.2.zip, r-release: speakeasyR_0.1.2.zip, r-oldrel: speakeasyR_0.1.2.zip |
macOS binaries: | r-release (arm64): speakeasyR_0.1.2.tgz, r-oldrel (arm64): speakeasyR_0.1.2.tgz, r-release (x86_64): speakeasyR_0.1.2.tgz, r-oldrel (x86_64): speakeasyR_0.1.2.tgz |
Old sources: | speakeasyR archive |
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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.