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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
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

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:	GeneNMF, phytoclass, scater
Reverse linking to:	miloR
Reverse suggests:	flashier

Linking:

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

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.