whitening v1.1.1

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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
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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

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