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 ORCID iD [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
Old sources: RcppML archive

Reverse dependencies:

Reverse imports: GeneNMF, phytoclass, scater
Reverse suggests: flashier

Linking:

Please use the canonical form https://CRAN.R-project.org/package=RcppML to link to this page.