Fast machine learning algorithms including matrix factorization and divisive clustering for large sparse and dense matrices.
Version: | 0.3.7 |
Imports: | Rcpp, Matrix, methods, stats |
LinkingTo: | Rcpp, RcppEigen |
Suggests: | knitr, rmarkdown, testthat (≥ 3.0.0) |
Published: | 2021-09-21 |
DOI: | 10.32614/CRAN.package.RcppML |
Author: | Zachary DeBruine [aut, cre] |
Maintainer: | Zachary DeBruine <zacharydebruine at gmail.com> |
BugReports: | https://github.com/zdebruine/RcppML/issues |
License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
URL: | https://github.com/zdebruine/RcppML |
NeedsCompilation: | yes |
CRAN checks: | RcppML results |
Reference manual: | RcppML.pdf |
Vignettes: |
Introduction to the RcppML package |
Package source: | RcppML_0.3.7.tar.gz |
Windows binaries: | r-devel: RcppML_0.3.7.zip, r-release: RcppML_0.3.7.zip, r-oldrel: RcppML_0.3.7.zip |
macOS binaries: | r-release (arm64): RcppML_0.3.7.tgz, r-oldrel (arm64): RcppML_0.3.7.tgz, r-release (x86_64): RcppML_0.3.7.tgz, r-oldrel (x86_64): RcppML_0.3.7.tgz |
Old sources: | RcppML archive |
Reverse imports: | GeneNMF, phytoclass, scater |
Reverse suggests: | flashier |
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