AROC-package: Covariate-Adjusted Receiver Operating Characteristic Curve...
In AROC: Covariate-Adjusted Receiver Operating Characteristic Curve Inference

AROC-package

R Documentation

Covariate-Adjusted Receiver Operating Characteristic Curve Inference

Description

Estimates the covariate-adjusted Receiver Operating Characteristic (AROC) curve and pooled (unadjusted) ROC curve by different methods.

Details

Package:	AROC
Type:	Package
Version:	1.0-4
Date:	2022-02-18
License:	GPL

Author(s)

Maria Xose Rodriguez-Alvarez and Vanda Inacio.

Maintainer: Maria Xose Rodriguez-Alvarez <mxrodriguez@uvigo.es>

References

Janes, H., and Pepe, M.S. (2009). Adjusting for covariate effects on classification accuracy using the covariate-adjusted receiver operating characteristic curve. Biometrika, 96(2), 371 - 382.

Inacio de Carvalho, V., and Rodriguez-Alvarez, M. X. (2018). Bayesian nonparametric inference for the covariate-adjusted ROC curve. arXiv preprint arXiv:1806.00473.

Rodriguez-Alvarez, M. X., Roca-Pardinas, J., and Cadarso-Suarez, C. (2011). ROC curve and covariates: extending induced methodology to the non-parametric framework. Statistics and Computing, 21(4), 483 - 499.

AROC documentation built on March 18, 2022, 5:22 p.m.