ROC-Based Inference for Diagnostic Accuracy Under Verification Bias // Provides point estimates and confidence intervals for receiver operating characteristic (ROC)based diagnostic accuracy metrics for tests and biomarkers subject to verification bias. Supported metrics include the Area Under the ROC Curve (AUC), the Youden index, and the sensitivity at a userspecified specificity level for twoclass continuous tests under missingatrandom (MAR) disease verification. Point estimation follows Alonzo and Pepe (2005) doi:10.1111/j.1467-9876.2005.00477.x. Multiple types of confidence intervals are implemented and compared, including bootstrapbased, Method of Variance Estimates Recovery (MOVER)based, and empirical likelihood (EL)based intervals; see Wang et al. (2025) doi:10.1177/09622802251322989 and https://github.com/swang1021/rocvb.