Independent Component Analysis for Grouped Data

Contains an implementation of an independent component analysis (ICA) for grouped data. The main function groupICA() performs a blind source separation, by maximizing an independence across sources and allows to adjust for varying confounding for 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 <>.


Reference manual

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0.1.1 by Niklas Pfister, 3 years ago

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Authors: Niklas Pfister and Sebastian Weichwald

Documentation:   PDF Manual  

AGPL-3 license

Imports stats, MASS

See at CRAN