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 | file LICENSE
Copyright: see file COPYRIGHTS
NeedsCompilation: yes
Materials: README NEWS
In views: MissingData
CRAN checks: eimpute results

Documentation:

Reference manual: eimpute.pdf
Vignettes: eimpute: Efficiently IMPUTE Large Scale Incomplete Matrix

Downloads:

Package source: eimpute_0.2.4.tar.gz
Windows binaries: r-devel: eimpute_0.2.3.zip, r-release: eimpute_0.2.3.zip, r-oldrel: eimpute_0.2.3.zip
macOS binaries: r-release (arm64): eimpute_0.2.3.tgz, r-oldrel (arm64): eimpute_0.2.3.tgz, r-release (x86_64): eimpute_0.2.3.tgz, r-oldrel (x86_64): eimpute_0.2.3.tgz
Old sources: eimpute archive

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