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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/>.

Versions across snapshots

VersionRepositoryFileSize
1.0.2 rolling linux/jammy R-4.5 coroICA_1.0.2.tar.gz 37.0 KiB
1.0.2 rolling linux/noble R-4.5 coroICA_1.0.2.tar.gz 37.0 KiB
1.0.2 rolling source/ R- coroICA_1.0.2.tar.gz 7.8 KiB
1.0.2 latest linux/jammy R-4.5 coroICA_1.0.2.tar.gz 37.0 KiB
1.0.2 latest linux/noble R-4.5 coroICA_1.0.2.tar.gz 37.0 KiB
1.0.2 latest source/ R- coroICA_1.0.2.tar.gz 7.8 KiB
1.0.2 2026-04-26 source/ R- coroICA_1.0.2.tar.gz 7.8 KiB
1.0.2 2026-04-23 source/ R- coroICA_1.0.2.tar.gz 7.8 KiB
1.0.2 2026-04-09 windows/windows R-4.5 coroICA_1.0.2.zip 39.7 KiB
1.0.2 2025-04-20 source/ R- coroICA_1.0.2.tar.gz 7.8 KiB

Dependencies (latest)

Imports