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: | 0.1.1 |
| Imports: | Rcpp (≥ 0.12.6) |
| LinkingTo: | Rcpp, RcppEigen |
| Suggests: | knitr |
| Published: | 2020-04-28 |
| 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 |
| Reference manual: | eimpute.pdf |
| Vignettes: |
eimpute: Efficiently IMPUTE Large Scale Incomplete Matrix |
| Package source: | eimpute_0.1.1.tar.gz |
| Windows binaries: | r-devel: eimpute_0.1.1.zip, r-release: eimpute_0.1.1.zip, r-oldrel: eimpute_0.1.1.zip |
| macOS binaries: | r-release: eimpute_0.1.1.tgz, r-oldrel: eimpute_0.1.1.tgz |
| Old sources: | eimpute archive |
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