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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/>.
| Version: | 1.0.2 |
| Depends: | R (≥ 3.2.3) |
| Imports: | stats, MASS |
| Published: | 2020-05-15 |
| Author: | Niklas Pfister and Sebastian Weichwald |
| Maintainer: | Niklas Pfister <np at math.ku.dk> |
| BugReports: | https://github.com/sweichwald/coroICA-R/issues |
| License: | AGPL-3 |
| URL: | https://github.com/sweichwald/coroICA-R |
| NeedsCompilation: | no |
| CRAN checks: | coroICA results |
| Reference manual: | coroICA.pdf |
| Package source: | coroICA_1.0.2.tar.gz |
| Windows binaries: | r-devel: coroICA_1.0.2.zip, r-release: coroICA_1.0.2.zip, r-oldrel: coroICA_1.0.2.zip |
| macOS binaries: | r-release (arm64): coroICA_1.0.2.tgz, r-oldrel (arm64): coroICA_1.0.2.tgz, r-release (x86_64): coroICA_1.0.2.tgz, r-oldrel (x86_64): coroICA_1.0.2.tgz |
| Old sources: | coroICA archive |
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