Package: coroICA 1.0.2

Niklas Pfister

coroICA: Confounding Robust Independent Component Analysis for Noisy and Grouped Data

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/>.

Authors:Niklas Pfister and Sebastian Weichwald

coroICA_1.0.2.tar.gz
coroICA_1.0.2.zip(r-4.7)coroICA_1.0.2.zip(r-4.6)coroICA_1.0.2.zip(r-4.5)
coroICA_1.0.2.tgz(r-4.6-any)coroICA_1.0.2.tgz(r-4.5-any)
coroICA_1.0.2.tar.gz(r-4.7-any)coroICA_1.0.2.tar.gz(r-4.6-any)
coroICA_1.0.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
coroICA/json (API)

# Install 'coroICA' in R:

install.packages('coroICA', repos = c('https://sweichwald.r-universe.dev', 'https://cloud.r-project.org'))

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

On CRAN:

3.30 score 2 stars 2 scripts 197 downloads 2 exports 1 dependencies

Last updated from:f211faabd3. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	102
source / vignettes	OK	149
linux-release-x86_64	OK	99
macos-release-arm64	OK	138
macos-oldrel-arm64	OK	202
windows-devel	OK	122
windows-release	OK	65
windows-oldrel	OK	62
wasm-release	OK	90