Package: coroICA 1.0.2

Niklas Pfister

coroICA: Confounding Robust Independent Component Analysis for Noisy and Grouped Data

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/>.

Authors:Niklas Pfister and Sebastian Weichwald

coroICA_1.0.2.tar.gz
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coroICA_1.0.2.tgz(r-4.4-any)coroICA_1.0.2.tgz(r-4.3-any)
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coroICA.pdf |coroICA.html✨
coroICA/json (API)

Peer review:

Bug tracker:https://github.com/sweichwald/coroica-r/issues

On CRAN:

2 exports 2 stars 1.01 score 1 dependencies 2 scripts 156 downloads

Last updated 4 years agofrom:f211faabd3. Checks:OK: 7. Indexed: yes.

Exports:coroICAuwedge

Dependencies:MASS