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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: | 1.0.1 |
Depends: | Rcpp (≥ 0.9.13), MASS, clue, combinat |
LinkingTo: | Rcpp |
Suggests: | irlba, JADE, ProDenICA, fastICA, energy |
Published: | 2024-11-11 |
DOI: | 10.32614/CRAN.package.steadyICA |
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 |
Reference manual: | steadyICA.pdf |
Package source: | steadyICA_1.0.1.tar.gz |
Windows binaries: | r-devel: steadyICA_1.0.1.zip, r-release: steadyICA_1.0.1.zip, r-oldrel: steadyICA_1.0.1.zip |
macOS binaries: | r-release (arm64): steadyICA_1.0.1.tgz, r-oldrel (arm64): steadyICA_1.0.1.tgz, r-release (x86_64): steadyICA_1.0.1.tgz, r-oldrel (x86_64): steadyICA_1.0.1.tgz |
Old sources: | steadyICA archive |
Reverse imports: | svars |
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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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