rocvb: 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 user‑specified specificity level for two‑class continuous tests under missing‑at‑random (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 bootstrap‑based, 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>.

Version:	0.1.0
Imports:	emplik, ggplot2, grid, MASS, pROC, stats
Suggests:	testthat (≥ 3.0.0)
Published:	2026-05-05
DOI:	10.32614/CRAN.package.rocvb
Author:	Shirui Wang [aut, cre]
Maintainer:	Shirui Wang <wangshirui1021 at gmail.com>
BugReports:	https://github.com/swang1021/rocvb/issues
License:	MIT + file LICENSE
URL:	https://github.com/swang1021/rocvb
NeedsCompilation:	no
Materials:	README
CRAN checks:	rocvb results

Downloads:

Package source:	rocvb_0.1.0.tar.gz
Windows binaries:	r-devel: rocvb_0.1.0.zip, r-release: rocvb_0.1.0.zip, r-oldrel: rocvb_0.1.0.zip
macOS binaries:	r-release (arm64): rocvb_0.1.0.tgz, r-oldrel (arm64): rocvb_0.1.0.tgz, r-release (x86_64): rocvb_0.1.0.tgz, r-oldrel (x86_64): rocvb_0.1.0.tgz

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