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>.
| Version: | 1.1.1 |
| Depends: | R (≥ 3.0.2), corpcor (≥ 1.6.9) |
| Imports: | stats |
| Published: | 2019-01-12 |
| Author: | Korbinian Strimmer, Takoua Jendoubi, Agnan Kessy, Alex Lewin |
| Maintainer: | Korbinian Strimmer <strimmerlab at gmail.com> |
| License: | GPL (≥ 3) |
| URL: | http://strimmerlab.org/software/whitening/ |
| NeedsCompilation: | no |
| Materials: | NEWS |
| CRAN checks: | whitening results |
| Reference manual: | whitening.pdf |
| Package source: | whitening_1.1.1.tar.gz |
| Windows binaries: | r-devel: whitening_1.1.1.zip, r-release: whitening_1.1.1.zip, r-oldrel: whitening_1.1.1.zip |
| OS X binaries: | r-release: whitening_1.1.1.tgz, r-oldrel: whitening_1.1.1.tgz |
| Old sources: | whitening archive |
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