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eimpute: Efficiently Impute Large Scale Incomplete Matrix

Efficiently impute large scale matrix with missing values via its unbiased low-rank matrix approximation. Our main approach is Hard-Impute algorithm proposed in <https://www.jmlr.org/papers/v11/mazumder10a.html>, which achieves highly computational advantage by truncated singular-value decomposition.

Version:0.2.4
Imports:Rcpp (≥ 0.12.6)
LinkingTo:Rcpp,RcppEigen
Suggests:knitr
Published:2024-07-22
DOI:10.32614/CRAN.package.eimpute
Author:Zhe Gao [aut, cre], Jin Zhu [aut], Junxian Zhu [aut], Xueqin Wang [aut], Yixuan Qiu [cph], Gael Guennebaud [cph, ctb], Jitse Niesen [cph, ctb], Ray Gardner [ctb]
Maintainer:Zhe Gao <gaozh8 at mail.ustc.edu.cn>
License:GPL-3 | fileLICENSE
Copyright:see fileCOPYRIGHTS
NeedsCompilation:yes
Materials:README,NEWS
In views:MissingData
CRAN checks:eimpute results

Documentation:

Reference manual:eimpute.html ,eimpute.pdf
Vignettes:eimpute: Efficiently IMPUTE Large Scale Incomplete Matrix (source,R code)

Downloads:

Package source: eimpute_0.2.4.tar.gz
Windows binaries: r-devel:eimpute_0.2.4.zip, r-release:eimpute_0.2.4.zip, r-oldrel:eimpute_0.2.4.zip
macOS binaries: r-release (arm64):eimpute_0.2.4.tgz, r-oldrel (arm64):eimpute_0.2.4.tgz, r-release (x86_64):eimpute_0.2.4.tgz, r-oldrel (x86_64):eimpute_0.2.4.tgz
Old sources: eimpute archive

Linking:

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


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