| AROC-package {AROC} | 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.