denoiseR: Regularized Low Rank Matrix Estimation
Version 1.0

Estimate a low rank matrix from noisy data using singular values thresholding and shrinking functions. Impute missing values with matrix completion.

Browse man pages Browse package API and functions Browse package files

AuthorJulie Josse, Sylvain Sardy, Stefan Wager
Date of publication2016-07-26 12:40:37
MaintainerJulie Josse <julie.josserennes@gmail.com>
LicenseGPL (>= 2)
Version1.0
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("denoiseR")

Man pages

adashrink: Adaptive Shrinkage
denoiseR-package: Regularized Low Rank Matrix Estimation
estim_delta: Estimates delta for Iterated Stable Autoencoder
estim_sigma: Estimate sigma
impactfactor: Data set on metrics for scientific journals:
imputeada: Adaptive Shrinkage with missing values - Imputation
imputecount: Imputation of count data with the Iterated Stable Autoencoder
ISA: Iterated Stable Autoencoder
LRsim: Low Rank Simulation
optishrink: Optimal Shrinkage
Presidents: Contingency table with US Presidents speeches.
tumors: Brain tumors data.

Functions

ISA Man page Source code
LRsim Man page Source code
Presidents Man page
adashrink Man page Source code
denoiseR Man page
denoiseR-package Man page
estim_delta Man page Source code
estim_sigma Man page Source code
impactfactor Man page
imputeada Man page Source code
imputecount Man page Source code
optishrink Man page Source code
tumors Man page

Files

NAMESPACE
data
data/tumors.rda
data/Presidents.rda
data/impactfactor.rda
R
R/estim_sigma.R
R/LRsim.R
R/optishrink.R
R/imputeada.R
R/ISA.R
R/imputecount.R
R/estim_delta.R
R/adashrink.R
MD5
DESCRIPTION
man
man/estim_delta.Rd
man/Presidents.Rd
man/estim_sigma.Rd
man/impactfactor.Rd
man/tumors.Rd
man/denoiseR-package.Rd
man/adashrink.Rd
man/LRsim.Rd
man/optishrink.Rd
man/ISA.Rd
man/imputecount.Rd
man/imputeada.Rd
denoiseR documentation built on May 29, 2017, 2:13 p.m.