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.
|Author||Benjamin B. Risk and Nicholas A. James and David S. Matteson|
|Date of publication||2015-11-11 00:08:41|
|Maintainer||Benjamin Risk <firstname.lastname@example.org>|
|License||GPL (>= 2)|
compInd: Complete Measure of Mutual Multivariate Independence
dcovICA: ICA via distance covariance for 2 components
dcovustat: Calculate distance covariance via U-statistics
frobICA: match mixing matrices or ICs and calculate their Frobenius...
gmultidcov: Symmetric multivariate distance covariance for grouped...
infomaxICA: Estimates independent components via infomax
matchICA: match independent components using the Hungarian method
multidcov: Symmetric multivariate distance covariance
permTest: Permutation test for mutual independence.
rightskew: force ICs to have positive skewness and order by skewness
steadyICA: Estimate independent components by minimizing distance...
steadyICA-package: ICA via distance covariance, tests of mutual independence,...
theta2W: Convert angles to an orthogonal matrix.
W2theta: Convert an orthogonal matrix to its angular parameterization.
whitener: Whitening function