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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.

Version: 1.0
Depends: Rcpp (≥ 0.9.13), MASS, clue, combinat
LinkingTo: Rcpp
Suggests: irlba, JADE, ProDenICA, fastICA, energy
Published: 2015-11-11
Author: Benjamin B. Risk and Nicholas A. James and David S. Matteson
Maintainer: Benjamin Risk <bbr28 at cornell.edu>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
CRAN checks: steadyICA results

Documentation:

Reference manual: steadyICA.pdf

Downloads:

Package source: steadyICA_1.0.tar.gz
Windows binaries: r-devel: steadyICA_1.0.zip, r-release: steadyICA_1.0.zip, r-oldrel: steadyICA_1.0.zip
macOS binaries: r-release (arm64): steadyICA_1.0.tgz, r-oldrel (arm64): steadyICA_1.0.tgz, r-release (x86_64): steadyICA_1.0.tgz, r-oldrel (x86_64): steadyICA_1.0.tgz

Reverse dependencies:

Reverse imports: svars

Linking:

Please use the canonical form https://CRAN.R-project.org/package=steadyICA to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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