Package: coroICA
Title: Confounding Robust Independent Component Analysis for Noisy and
        Grouped Data
Version: 1.0.2
Author: Niklas Pfister and Sebastian Weichwald
Maintainer: Niklas Pfister <np@math.ku.dk>
Description: 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/>.
URL: https://github.com/sweichwald/coroICA-R
BugReports: https://github.com/sweichwald/coroICA-R/issues
Depends: R (>= 3.2.3)
License: AGPL-3
Encoding: UTF-8
LazyData: true
Imports: stats, MASS
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2020-05-15 08:02:01 UTC; pfisteni
Repository: CRAN
Date/Publication: 2020-05-15 09:00:03 UTC
Built: R 4.6.0; ; 2026-04-26 15:18:18 UTC; unix
