Estimating and Testing the Number of Interesting Components in Linear Dimension Reduction

Documentation for package ‘ICtest’ version 0.2

components	Generic Components Extraction Function
components.ictest	Generic Components Extraction Function
covSIR	Supervised Scatter Matrix as Used in Sliced Inverse Regression
FOBIasymp	Testing for the Number of Gaussian Components in NGCA or ICA Using FOBI
FOBIboot	Boostrap-based Testing for the Number of Gaussian Components in ICA Using FOBI
ggplot.ictest	Scatterplot Matrix for a ictest Object using ggplot2
ggscreeplot	Screeplot for an ictest Object Using ggplot2
NGPP	Non-Gaussian Projection Pursuit
NGPPest	Signal Subspace Dimension Testing Using non-Gaussian Projection Pursuit
NGPPsim	Signal Subspace Dimension Testing Using non-Gaussian Projection Pursuit
PCAasymp	Testing for Subsphericity using the Covariance Matrix or Tyler's Shape Matrix
PCAboot	Bootstrap-Based Testing for Subsphericity
plot.ictest	Scatterplot Matrix for a ictest Object
rMU	Greek Letter mu Shaped Bivariate Data Generation
rOMEGA	Greek Letter Omega Shaped Bivariate Data Generation
rorth	Random Orthogonal Matrix Creation Uniform WRT the Haar Measure.
screeplot.ictest	Screeplot for an ictest Object
SIRasymp	Testing the Subspace Dimension for Sliced Inverse Regression.
SIRboot	Testing the Subspace Dimension for Sliced Inverse Regression Using Bootstrapping.