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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).
| Version: | 1.4.0 |
| Depends: | R (≥ 3.5.0), corpcor (≥ 1.6.10) |
| Imports: | stats |
| Published: | 2022-06-07 |
| DOI: | 10.32614/CRAN.package.whitening |
| Author: | Korbinian Strimmer, Takoua Jendoubi, Agnan Kessy, Alex Lewin |
| Maintainer: | Korbinian Strimmer <strimmerlab at gmail.com> |
| License: | GPL (≥ 3) |
| URL: | https://strimmerlab.github.io/software/whitening/ |
| NeedsCompilation: | no |
| Materials: | NEWS |
| In views: | Omics |
| CRAN checks: | whitening results |
| Reference manual: | whitening.pdf |
| Package source: | whitening_1.4.0.tar.gz |
| Windows binaries: | r-devel: whitening_1.4.0.zip, r-release: whitening_1.4.0.zip, r-oldrel: whitening_1.4.0.zip |
| macOS binaries: | r-release (arm64): whitening_1.4.0.tgz, r-oldrel (arm64): whitening_1.4.0.tgz, r-release (x86_64): whitening_1.4.0.tgz, r-oldrel (x86_64): whitening_1.4.0.tgz |
| Old sources: | whitening archive |
| Reverse imports: | BSL, pfica |
| Reverse suggests: | FRESA.CAD, sensitivity |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.