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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/>.
| Version: | 0.1.1 |
| Depends: | R (≥ 3.2.3) |
| Imports: | stats, MASS |
| Published: | 2018-06-19 |
| Author: | Niklas Pfister and Sebastian Weichwald |
| Maintainer: | Niklas Pfister <pfister at stat.math.ethz.ch> |
| BugReports: | https://github.com/sweichwald/groupICA-R/issues |
| License: | AGPL-3 |
| URL: | https://github.com/sweichwald/groupICA-R |
| NeedsCompilation: | no |
| CRAN checks: | groupICA results |
| Reference manual: | groupICA.pdf |
| Package source: | groupICA_0.1.1.tar.gz |
| Windows binaries: | r-devel: groupICA_0.1.1.zip, r-release: groupICA_0.1.1.zip, r-oldrel: groupICA_0.1.1.zip |
| macOS binaries: | r-release (arm64): groupICA_0.1.1.tgz, r-oldrel (arm64): groupICA_0.1.1.tgz, r-release (x86_64): groupICA_0.1.1.tgz, r-oldrel (x86_64): groupICA_0.1.1.tgz |
| Reverse imports: | iTensor |
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