Contains an implementation of a confounding robust independent component analysis (ICA) for noisy and grouped data. The main function coroICA() performs a blind source separation, by maximizing an independence across sources and allows to adjust for varying confounding based on user-specified groups. Additionally, the package contains the function uwedge() which can be used to approximately jointly diagonalize a list of matrices. For more details see the project website <https://sweichwald.de/coroICA/>.
|Author||Niklas Pfister and Sebastian Weichwald|
|Maintainer||Niklas Pfister <firstname.lastname@example.org>|
|Package repository||View on CRAN|
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