Package: steadyICA 1.0.1

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:Benjamin B. Risk and Nicholas A. James and David S. Matteson

steadyICA_1.0.1.tar.gz
steadyICA_1.0.1.zip(r-4.7-x86_64)steadyICA_1.0.1.zip(r-4.7-arm64)steadyICA_1.0.1.zip(r-4.6-x86_64)steadyICA_1.0.1.zip(r-4.6-arm64)
steadyICA_1.0.1.tar.gz(r-4.7-arm64)steadyICA_1.0.1.tar.gz(r-4.7-x86_64)steadyICA_1.0.1.tar.gz(r-4.6-arm64)steadyICA_1.0.1.tar.gz(r-4.6-x86_64)
steadyICA_1.0.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
steadyICA/json (API)

# Install 'steadyICA' in R:
install.packages('steadyICA', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

cpp

1.78 score 2 packages 895 downloads 14 exports 5 dependencies

Last updated from:2efe39b432. Checks:8 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64NOTE104
linux-devel-x86_64NOTE124
source / vignettesOK171
linux-release-arm64NOTE101
linux-release-x86_64NOTE134
windows-devel-arm64NOTE225
windows-devel-x86_64NOTE120
windows-release-arm64NOTE171
windows-release-x86_64NOTE82
wasm-releaseOK118

Exports:compInddcovICAdcovustatfrobICAgmultidcovinfomaxICAmatchICAmultidcovpermTestrightskewsteadyICAtheta2WW2thetawhitener

Dependencies:clueclustercombinatMASSRcpp