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