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

## Documentation for package ‘ICtest’ version 0.2

- DESCRIPTION file.
- User guides, package vignettes and other documentation.

## Help Pages

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.