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

Documentation:

Reference manual:

denoiseR.pdf

Downloads:

Package source:	denoiseR_1.0.2.tar.gz
Windows binaries:	r-devel: denoiseR_1.0.2.zip, r-release: denoiseR_1.0.2.zip, r-oldrel: denoiseR_1.0.2.zip
macOS binaries:	r-release (arm64): denoiseR_1.0.2.tgz, r-oldrel (arm64): denoiseR_1.0.2.tgz, r-release (x86_64): denoiseR_1.0.2.tgz, r-oldrel (x86_64): denoiseR_1.0.2.tgz
Old sources:	denoiseR archive

Linking:

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