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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 DeBruineORCID 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[issues need fixing before 2025-12-18]

Documentation:

Reference manual:RcppML.html ,RcppML.pdf
Vignettes:Introduction to the RcppML package (source,R code)

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

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=RcppMLto link to this page.


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