Package: whitening
Version: 1.4.0
Date: 2022-06-07
Title: Whitening and High-Dimensional Canonical Correlation Analysis
Author: Korbinian Strimmer, Takoua Jendoubi, Agnan Kessy, Alex Lewin
Maintainer: Korbinian Strimmer <strimmerlab@gmail.com>
Depends: R (>= 3.5.0), corpcor (>= 1.6.10)
Imports: stats
Suggests:
Description: 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).
License: GPL (>= 3)
URL: https://strimmerlab.github.io/software/whitening/
NeedsCompilation: no
Packaged: 2026-09-29 12:05:41 UTC; root
Repository: https://cran.r-universe.dev
Date/Publication: 2022-06-07 11:20:02 UTC
RemoteUrl: https://github.com/cran/whitening
RemoteRef: HEAD
RemoteSha: 2bbfc878da95d06b8e2d6d3e963cf314d260e66a