denoiseR (1.0)

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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.

Maintainer: Julie Josse
Author(s): Julie Josse, Sylvain Sardy, Stefan Wager

License: GPL (>= 2)

Uses: FactoMineR, irlba, Matrix, missMDA

Released over 3 years ago.



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Related packages: Amelia, CVThresh, HardyWeinberg, Hmisc, ade4, cat, eigenmodel, experiment, ltm, memisc, mice, mitools, mix, norm, pan, randomForest, sbgcop, yaImpute, zoo, SNPassoc(20 best matches, based on common tags.)

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