Package: denoiseR 1.0.2

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>.

Authors:Julie Josse, Sylvain Sardy, Stefan Wager

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denoiseR.pdf |denoiseR.html
denoiseR/json (API)

# Install 'denoiseR' in R:
install.packages('denoiseR', repos = c('https://julierennes.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:
  • Presidents - Contingency table with US Presidents speeches.
  • impactfactor - Data set on metrics for scientific journals:
  • tumors - Brain tumors data.

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.70 score 50 scripts 171 downloads 8 exports 103 dependencies

Last updated 5 years agofrom:496a05fc8d. Checks:5 OK, 2 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKJan 21 2025
R-4.5-winNOTEJan 21 2025
R-4.5-linuxNOTEJan 21 2025
R-4.4-winOKJan 21 2025
R-4.4-macOKJan 21 2025
R-4.3-winOKJan 21 2025
R-4.3-macOKJan 21 2025

Exports:adashrinkestim_deltaestim_sigmaimputeadaimputecountISALRsimoptishrink

Dependencies:abindbackportsbase64encbootbroombslibcachemcarcarDatacliclustercolorspacecowplotcpp11crosstalkDerivdigestdoBydplyrDTellipseemmeansestimabilityevaluateFactoMineRfansifarverfastmapflashClustfontawesomeFormulafsgenericsggplot2ggrepelgluegtablehighrhtmltoolshtmlwidgetshttpuvirlbaisobandjquerylibjsonliteknitrlabelinglaterlatticelazyevalleapslifecyclelme4magrittrMASSMatrixMatrixModelsmemoisemgcvmicrobenchmarkmimeminqamodelrmultcompViewmunsellmvtnormnlmenloptrnnetnumDerivpbkrtestpillarpkgconfigpromisespurrrquantregR6rappdirsrbibutilsRColorBrewerRcppRcppEigenRdpackreformulasrlangrmarkdownsassscalesscatterplot3dSparseMstringistringrsurvivaltibbletidyrtidyselecttinytexutf8vctrsviridisLitewithrxfunyaml