This package is considered a duplicate. The official version of this package is found at:https://cran.r-universe.dev/groupICA

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.zip(r-4.7)groupICA_0.1.1.zip(r-4.6)groupICA_0.1.1.zip(r-4.5)
groupICA_0.1.1.tgz(r-4.6-any)groupICA_0.1.1.tgz(r-4.5-any)
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://cranhaven.r-universe.dev', 'https://cloud.r-project.org'))

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

On CRAN:

archived packages r-universe

1.70 score 5 stars 2 scripts 150 downloads 2 exports 1 dependencies

Last updated from:600928084c (on package/groupICA). Checks:9 OK. Indexed: no.

Target	Result	Time
linux-devel-x86_64	OK	112
source / vignettes	OK	123
linux-release-x86_64	OK	114
macos-release-arm64	OK	90
macos-oldrel-arm64	OK	67
windows-devel	OK	71
windows-release	OK	61
windows-oldrel	OK	65
wasm-release	OK	111