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 <http://www.jmlr.org/papers/v11/mazumder10a.html>, which achieves highly computational advantage by truncated singular-value decomposition.

Version: 0.1.0
Imports: Rcpp (≥ 0.12.6)
LinkingTo: Rcpp, RcppEigen
Suggests: knitr
Published: 2020-03-20
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 mail2.sysu.edu.cn>
License: GPL-3 | file LICENSE
Copyright: see file COPYRIGHTS
NeedsCompilation: yes
Materials: README NEWS
CRAN checks: eimpute results

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Reference manual: eimpute.pdf
Vignettes: eimpute: Efficiently IMPUTE Large Scale Incomplete Matrix
Package source: eimpute_0.1.0.tar.gz
Windows binaries: r-prerelease: eimpute_0.1.0.zip, r-release: eimpute_0.1.0.zip, r-oldrel: eimpute_0.1.0.zip
macOS binaries: r-prerelease: eimpute_0.1.0.tgz, r-release: eimpute_0.1.0.tgz, r-oldrel: eimpute_0.1.0.tgz

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