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-4.7-any)groupICA_0.1.1.tar.gz(r-4.6-any)
groupICA_0.1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
groupICA/json (API)

# Install 'groupICA' in R:
install.packages('groupICA', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

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

On CRAN:

Conda:

1.00 score 2 scripts 198 downloads 2 exports 1 dependencies

Last updated from:1c46e86a5d. Checks:4 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK108
source / vignettesOK161
linux-release-x86_64OK94
wasm-releaseOK91

Exports:groupICAuwedge

Dependencies:MASS

Readme and manuals

Help Manual

Help pageTopics
groupICAgroupICA
uwedgeuwedge