HDDesign-package        Sample Size Calculation for High Dimensional
                        Classification Study
cv_method               Formula-based PCC of a CV-based classifier
cv_method_MC            MC simulation-based method to calculate the PCC
                        of a CV-based classifier; calculated using
                        training and test datasets in MC simulations.
cv_method_MC_corr       MC simulation-based method to calculate the PCC
                        of a CV-based classifier when features are
                        correlated; uses training and testing datasets.
cv_method_corr          Formula-based method to calculate the PCC of a
                        CV-based classifier when features are
                        correlated.
ds_method               Estimate PCC by DS Method
hct_beta                Alternative HCT Procedure to Choose P-Value
                        Threshold Based on Beta Distribution of
                        P-Values.
hct_empirical           Original HCT Procedure to Choose P-Value
                        Threshold for Feature Selection
hct_method              Estimate PCC of HCT Classifiers
hct_method_MC           Estimate PCC of HCT Classifiers via
                        implementation of Monte Carlo simulations,
                        using training and testing datasets
hct_method_MC_corr      Estimate PCC of HCT Classifiers constructed
                        with correlated features using Monte Carlo
                        simulations
hct_method_corr         Estimate PCC of HCT Classifiers via
                        implementation of Monte Carlo simulations with
                        correlated features.
ideal_pcc               Determine the Ideal PCC
samplesize              Determine the Sample Size Requirement
which.region            Determine the Feasibility Region
