Package: whitening 1.4.0
Korbinian Strimmer
whitening: Whitening and High-Dimensional Canonical Correlation Analysis
Implements the whitening methods (ZCA, PCA, Cholesky, ZCA-cor, and PCA-cor) discussed in Kessy, Lewin, and Strimmer (2018) "Optimal whitening and decorrelation", <doi:10.1080/00031305.2016.1277159>, as well as the whitening approach to canonical correlation analysis allowing negative canonical correlations described in Jendoubi and Strimmer (2019) "A whitening approach to probabilistic canonical correlation analysis for omics data integration", <doi:10.1186/s12859-018-2572-9>. The package also offers functions to simulate random orthogonal matrices, compute (correlation) loadings and explained variation. It also contains four example data sets (extended UCI wine data, TCGA LUSC data, nutrimouse data, extended pitprops data).
Authors:
whitening_1.4.0.tar.gz
whitening_1.4.0.tar.gz(r-4.5-noble)whitening_1.4.0.tar.gz(r-4.4-noble)
whitening_1.4.0.tgz(r-4.4-emscripten)whitening_1.4.0.tgz(r-4.3-emscripten)
whitening.pdf |whitening.html✨
whitening/json (API)
NEWS
| # Install 'whitening' in R: |
| install.packages('whitening', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/strimmerlab/software/issues
- forina1986 - Forina 1986 Wine Data - Extended UCI Wine Data
- lusc - TCGA LUSC Data
- nutrimouse - Nutrimouse Data
- pitprops14 - Pitprops Correlation Data for 14 Variables
Last updated 2 years agofrom:2bbfc878da. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 29 2024 |
| R-4.5-linux | OK | Oct 29 2024 |
Exports:ccacorplotexplainedVariationloadplotsccasimOrthowhitenwhiteningCrossCovwhiteningLoadingswhiteningMatrix
Dependencies:corpcor
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| The whitening Package | whitening-package |
| Plots of Correlations and Loadings | corplot loadplot |
| Compute Explained Variation from Loadings | explainedVariation |
| Forina 1986 Wine Data - Extended UCI Wine Data | forina1986 |
| TCGA LUSC Data | lusc |
| Nutrimouse Data | nutrimouse |
| Pitprops Correlation Data for 14 Variables | pitprops14 |
| Perform Canonical Correlation Analysis | cca scca |
| Simulate Random Orthogonal Matrix | simOrtho |
| Whiten Data Matrix | whiten |
| Compute Whitening Loadings | whiteningLoadings |
| Compute Whitening Matrix | whiteningMatrix |