whitening v1.1.1
0
Monthly downloads
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>.
Functions in whitening
| Name | Description | |
| corplot | Plots of Correlations and Loadings | |
| lusc | TCGA LUSC Data | |
| nutrimouse | Nutrimouse Data | |
| forina1986 | Forina 1986 Wine Data - Extended UCI Wine Data | |
| scca | Perform Canonical Correlation Analysis | |
| whitening-package | The whitening Package | |
| whitening-internal | Internal whitening Functions | |
| whiteningMatrix | Compute Whitening Matrix and Whiten Data | |
| No Results! | ||
Last month downloads
Details
| Date | 2019-01-12 |
| License | GPL (>= 3) |
| URL | http://strimmerlab.org/software/whitening/ |
| Packaged | 2019-01-12 16:25:52 UTC; strimmer |
| NeedsCompilation | no |
| Repository | CRAN |
| Date/Publication | 2019-01-12 17:10:03 UTC |
| depends | corpcor (>= 1.6.9) , R (>= 3.0.2) |
| imports | stats |
| Contributors | Korbinian Strimmer, Alex Lewin, Takoua Jendoubi, Agnan Kessy |
Include our badge in your README
[](http://www.rdocumentation.org/packages/whitening)