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.


Reference manual

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0.1.1 by Zhe Gao, a year ago

Browse source code at https://github.com/cran/eimpute

Authors: 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]

Documentation:   PDF Manual  

GPL-3 | file LICENSE license

Imports Rcpp

Suggests knitr

Linking to Rcpp, RcppEigen

See at CRAN