RcppML: Rcpp Machine Learning Library
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 |
| 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 |
Documentation:
| Reference manual: | RcppML.pdf |
| Vignettes: |
Introduction to the RcppML package |
Downloads:
| 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 dependencies:
| Reverse imports: | scater |
Linking:
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