Package: groupICA
Title: Independent Component Analysis for Grouped Data
Version: 0.1.1
Author: Niklas Pfister and Sebastian Weichwald
Maintainer: Niklas Pfister <pfister@stat.math.ethz.ch>
Description: 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/>.
URL: https://github.com/sweichwald/groupICA-R
BugReports: https://github.com/sweichwald/groupICA-R/issues
Depends: R (>= 3.2.3)
License: AGPL-3
Encoding: UTF-8
LazyData: true
Imports: stats, MASS
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2018-06-06 11:57:47 UTC; pfisteni
Repository: CRAN
Date/Publication: 2018-06-19 08:55:29 UTC
Built: R 4.6.0; ; 2026-04-25 19:23:37 UTC; unix
