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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 <doi:10.48550/arXiv.1602.01206>.
| Version: | 1.0.2 |
| Depends: | R (≥ 2.10) |
| Imports: | irlba, Matrix, FactoMineR, stats |
| Suggests: | missMDA |
| Published: | 2020-02-26 |
| DOI: | 10.32614/CRAN.package.denoiseR |
| 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 |
| Reference manual: | denoiseR.pdf |
| 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 |
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These binaries (installable software) and packages are in development.
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