Sample Size Calculation for High Dimensional Classification Study

Documentation for package ‘HDDesign’ version 1.1

HDDesign-package	Sample Size Calculation for High Dimensional Classification Study
cv_method	Formula-based PCC of a CV-based classifier
cv_method_corr	Formula-based method to calculate the PCC of a CV-based classifier when features are correlated.
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.
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_corr	Estimate PCC of HCT Classifiers via implementation of Monte Carlo simulations with correlated features.
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
HDDesign	Sample Size Calculation for High Dimensional Classification Study
ideal_pcc	Determine the Ideal PCC
samplesize	Determine the Sample Size Requirement
which.region	Determine the Feasibility Region