R: ICA and Tests of Independence via Multivariate Distance Covariance

# ICA and Tests of Independence via Multivariate Distance Covariance

## Documentation for package ‘steadyICA’ version 1.0.1

- DESCRIPTION file

## Help Pages

steadyICA-package | ICA via distance covariance, tests of mutual independence, and other ICA functions
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 distance
gmultidcov | Symmetric multivariate distance covariance for grouped components
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 covariance
theta2W | Convert angles to an orthogonal matrix.
W2theta | Convert an orthogonal matrix to its angular parameterization.
whiten | Whitening function
whitener | Whitening function