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-4.5)coroICA_1.0.2.zip(r-4.4)coroICA_1.0.2.zip(r-4.3)
coroICA_1.0.2.tgz(r-4.4-any)coroICA_1.0.2.tgz(r-4.3-any)
coroICA_1.0.2.tar.gz(r-4.5-noble)coroICA_1.0.2.tar.gz(r-4.4-noble)
coroICA_1.0.2.tgz(r-4.4-emscripten)coroICA_1.0.2.tgz(r-4.3-emscripten)
coroICA.pdf |coroICA.html✨
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 164 downloads 2 exports 1 dependencies

Last updated 5 years agofrom:f211faabd3. Checks:OK: 7. Indexed: yes.

Target	Result	Date
Doc / Vignettes	OK	Nov 21 2024
R-4.5-win	OK	Nov 21 2024
R-4.5-linux	OK	Nov 21 2024
R-4.4-win	OK	Nov 21 2024
R-4.4-mac	OK	Nov 21 2024
R-4.3-win	OK	Nov 21 2024
R-4.3-mac	OK	Nov 21 2024