Package: steadyICA 1.0
Benjamin Risk
steadyICA: ICA and Tests of Independence via Multivariate Distance Covariance
Functions related to multivariate measures of independence and ICA: -estimate independent components by minimizing distance covariance; -conduct a test of mutual independence based on distance covariance; -estimate independent components via infomax (a popular method but generally performs poorer than mdcovica, ProDenICA, and/or fastICA, but is useful for comparisons); -order indepedent components by skewness; -match independent components from multiple estimates; -other functions useful in ICA.
Authors:
steadyICA_1.0.tar.gz
steadyICA_1.0.tar.gz(r-4.5-noble)steadyICA_1.0.tar.gz(r-4.4-noble)
steadyICA_1.0.tgz(r-4.4-emscripten)steadyICA_1.0.tgz(r-4.3-emscripten)
steadyICA.pdf |steadyICA.html✨
steadyICA/json (API)
| # Install 'steadyICA' in R: |
| install.packages('steadyICA', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 9 years agofrom:e358c6b5e1. Checks:OK: 1 NOTE: 1. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 28 2024 |
| R-4.5-linux-x86_64 | NOTE | Oct 28 2024 |
Exports:compInddcovICAdcovustatfrobICAgmultidcovinfomaxICAmatchICAmultidcovpermTestrightskewsteadyICAtheta2WW2thetawhitener
