Package: groupICA 0.1.1

Niklas Pfister

groupICA: Independent Component Analysis for Grouped Data

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/>.

Authors:Niklas Pfister and Sebastian Weichwald

groupICA_0.1.1.tar.gz
groupICA_0.1.1.tar.gz(r-4.5-noble)groupICA_0.1.1.tar.gz(r-4.4-noble)
groupICA_0.1.1.tgz(r-4.4-emscripten)groupICA_0.1.1.tgz(r-4.3-emscripten)
groupICA.pdf |groupICA.html✨
groupICA/json (API)

Peer review:

Bug tracker:https://github.com/sweichwald/groupica-r/issues

2 exports 0.61 score 1 dependencies 2 dependents 2 scripts 152 downloads

Last updated 6 years agofrom:1c46e86a5d. Checks:OK: 2. Indexed: yes.

Exports:groupICAuwedge

Dependencies:MASS