The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

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: 0.2.3
Imports: Rcpp (≥ 0.12.6)
LinkingTo: Rcpp, RcppEigen
Suggests: knitr, rmarkdown
Published: 2024-02-18
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_0.2.3.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

Linking:

Please use the canonical form https://CRAN.R-project.org/package=eimpute to link to this page.

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.
Health stats visible at Monitor.