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denoiseR  

Regularized Low Rank Matrix Estimation
View on CRAN: Click here


Download and install denoiseR package within the R console
Install from CRAN:
install.packages("denoiseR")

Install from Github:
library("remotes")
install_github("cran/denoiseR")

Install by package version:
library("remotes")
install_version("denoiseR", "1.0.2")



Attach the package and use:
library("denoiseR")
Maintained by
Julie Josse
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-07-26
Latest Update:
Description:
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 .
How to cite:
Julie Josse (2016). denoiseR: Regularized Low Rank Matrix Estimation. R package version 1.0.2, https://cran.r-project.org/web/packages/denoiseR. Accessed 27 Aug. 2026.
Previous versions and publish date:
(2026-07-09 07:31), 1.0.2 (2020-02-26 08:10), 1.0 (2016-07-26 12:40)
Other packages that cited denoiseR R package
View denoiseR citation profile
Other R packages that denoiseR depends, imports, suggests or enhances
Complete documentation for denoiseR
Functions, R codes and Examples using the denoiseR R package
Some associated functions: ISA . LRsim . Presidents . adashrink . denoiseR-package . estim_delta . estim_sigma . impactfactor . imputeada . imputecount . optishrink . tumors . 
Some associated R codes: ISA.R . LRsim.R . adashrink.R . estim_delta.R . estim_sigma.R . imputeada.R . imputecount.R . optishrink.R .  Full denoiseR package functions and examples
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