AucPR_compute_cv        Cross-Validation for Optimal AucPR
                        Regularization Parameter Selection
AucPR_estimation        AucPR Estimation for Coefficient and Feature
                        Selection
AucPR_predict           Prediction and Performance Evaluation for
                        Penalized AucPR Models
MCP_function            Minimax Concave Penalty (MCP) Function Value
SCAD_function           Smoothly Clipped Absolute Deviation (SCAD)
                        Function Value
calibrate_lambda_max    Calibrate Maximum Value for the Penalty
                        Parameter
calibrate_lambda_min    Calibrate Minimum Value for the Penalty
                        Parameter
covYI_KS                Covariate-Adjusted Youden Index (covYI) method
                        with Kernel Smoothing Estimation of the Density
                        Functions
covYI_KS_estimation     Estimation of Optimal Covariate Coefficients
                        through Penalized Covariate-Adjusted Youden
                        Index
create_data_all         Generate Correlated Regressors and Covariates
create_lambda           Generate a Sequence of Penalty Parameters
                        (lambda)
create_sample           Create Synthetic High-Dimensional Sample with
                        Binary Target
create_sample_with_covariates
                        Create a Synthetic Data Set with Covariates and
                        Binary Target
mmAPG                   Monotone Accelerated Proximal Gradient (APG)
                        method
mnmAPG                  Non-Monotone Accelerated Proximal Gradient
                        (APG) method
model_simulation_study
                        Simulation Study for Penalized Models on Real
                        Data
plr_compute_cv          Cross-Validation for Optimal glmnet
                        Regularization Parameter Selection
plr_estimation          glmnet Estimation for Coefficient and Feature
                        Selection
plr_predict             Prediction and Performance Evaluation for
                        Penalized glmnet Models
proximal_operator_EN    Proximal Operator for the Elastic-Net Penalty
proximal_operator_L1    Proximal Operator for the Convex \textrm{L}_{1}
                        (Lasso) Penalty
proximal_operator_L12   Proximal Operator for the Non-Convex
                        \textrm{L}_{1 / 2} Penalty
proximal_operator_MCP   Proximal Operator for the Non-Convex MCP
                        Penalty
proximal_operator_SCAD
                        Proximal Operator for the Non-Convex SCAD
                        Penalty
psvm_compute_cv         Cross-Validation for Optimal Penalized svm
                        Regularization Parameter Selection
psvm_estimation         Penalized svm Estimation for Coefficient and
                        Feature Selection
psvm_predict            Prediction and Performance Evaluation for
                        Penalized svm Models
pye_KS                  Penalized Youden Index (pye) function via
                        Kernel Smoothing Density
pye_KS_compute_cv       Cross-Validation for Optimal pye KS
                        Regularization Parameter Selection
pye_KS_estimation       pye KS Estimation for Coefficient and Feature
                        Selection
pye_KS_simulation_study
                        Simulation Study for Penalized Youden Index
                        (pye) on Real Data
scaling_df_for_pye      Center and Scale Continuous Regressors for pye
                        Modeling
