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:
denoiseR_1.0.2.tar.gz
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denoiseR_1.0.2.tgz(r-4.4-any)denoiseR_1.0.2.tgz(r-4.3-any)
denoiseR_1.0.2.tar.gz(r-4.5-noble)denoiseR_1.0.2.tar.gz(r-4.4-noble)
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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')) |
- Presidents - Contingency table with US Presidents speeches.
- impactfactor - Data set on metrics for scientific journals:
- tumors - Brain tumors data.
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 5 years agofrom:496a05fc8d. Checks:OK: 5 NOTE: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 22 2024 |
| R-4.5-win | NOTE | Nov 22 2024 |
| R-4.5-linux | NOTE | Nov 22 2024 |
| R-4.4-win | OK | Nov 22 2024 |
| R-4.4-mac | OK | Nov 22 2024 |
| R-4.3-win | OK | Nov 22 2024 |
| R-4.3-mac | OK | Nov 22 2024 |
Exports:adashrinkestim_deltaestim_sigmaimputeadaimputecountISALRsimoptishrink
Dependencies:abindbackportsbase64encbootbroombslibcachemcarcarDatacliclustercolorspacecowplotcpp11crosstalkDerivdigestdoBydplyrDTellipseemmeansestimabilityevaluateFactoMineRfansifarverfastmapflashClustfontawesomeFormulafsgenericsggplot2ggrepelgluegtablehighrhtmltoolshtmlwidgetshttpuvirlbaisobandjquerylibjsonliteknitrlabelinglaterlatticelazyevalleapslifecyclelme4magrittrMASSMatrixMatrixModelsmemoisemgcvmicrobenchmarkmimeminqamodelrmultcompViewmunsellmvtnormnlmenloptrnnetnumDerivpbkrtestpillarpkgconfigpromisespurrrquantregR6rappdirsRColorBrewerRcppRcppEigenrlangrmarkdownsassscalesscatterplot3dSparseMstringistringrsurvivaltibbletidyrtidyselecttinytexutf8vctrsviridisLitewithrxfunyaml
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Regularized Low Rank Matrix Estimation | denoiseR-package denoiseR |
| Adaptive Shrinkage | adashrink |
| Estimates delta for Iterated Stable Autoencoder | estim_delta |
| Estimate sigma | estim_sigma |
| Data set on metrics for scientific journals: | impactfactor |
| Adaptive Shrinkage with missing values - Imputation | imputeada |
| Imputation of count data with the Iterated Stable Autoencoder | imputecount |
| Iterated Stable Autoencoder | ISA |
| Low Rank Simulation | LRsim |
| Optimal Shrinkage | optishrink |
| Contingency table with US Presidents speeches. | Presidents |
| Brain tumors data. | tumors |
