denoiseR: Regularized Low Rank Matrix Estimation

Estimate a low rank matrix from noisy data using singular values thresholding and shrinking functions. Impute missing values with matrix completion. The method is described in <arXiv:1602.01206>.

Version: 1.0.2
Depends: R (≥ 2.10)
Imports: irlba, Matrix, FactoMineR, stats
Suggests: missMDA
Published: 2020-02-26
Author: Julie Josse, Sylvain Sardy, Stefan Wager
Maintainer: Julie Josse <julie.josserennes at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
In views: MissingData
CRAN checks: denoiseR results

Downloads:

Reference manual: denoiseR.pdf
Package source: denoiseR_1.0.2.tar.gz
Windows binaries: r-devel: denoiseR_1.0.2.zip, r-devel-gcc8: denoiseR_1.0.zip, r-release: denoiseR_1.0.2.zip, r-oldrel: denoiseR_1.0.zip
OS X binaries: r-release: denoiseR_1.0.2.tgz, r-oldrel: denoiseR_1.0.2.tgz
Old sources: denoiseR archive

Reverse dependencies:

Reverse imports: smartdata

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