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groupICA: 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 <https://sweichwald.de/groupICA/>.
Getting started
Browse package contents
Package details |
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| Author | Niklas Pfister and Sebastian Weichwald |
| Maintainer | Niklas Pfister <pfister@stat.math.ethz.ch> |
| License | AGPL-3 |
| Version | 0.1.1 |
| URL | https://github.com/sweichwald/groupICA-R |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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