R: Penalized Youden Index Estimator

# Penalized Youden Index Estimator

## Documentation for package ‘pye’ version 0.1.0

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

## Help Pages

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
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
MCP_function | Minimax Concave Penalty (MCP) Function Value
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
SCAD_function | Smoothly Clipped Absolute Deviation (SCAD) Function Value
scaling_df_for_pye | Center and Scale Continuous Regressors for pye Modeling