Covariate-Adjusted Receiver Operating Characteristic Curve Inference
tools:::Rd_package_title("AROC")
Nonparametric Bayesian inference of the covariate-adjusted ROC curve (...
Semiparametric Bayesian inference of the covariate-adjusted ROC curve ...
Non parametric kernel-based estimation of the covariate-adjusted ROC c...
Semiparametric frequentist inference of the covariate-adjusted ROC cur...
AROC-based threshold values.
AROC-based threshold values.
AROC-based threshold values.
AROC-based threshold values.
Pooled ROC-based threshold values.
Pooled ROC-based threshold values.
Partial area under the covariate-adjusted ROC curve (pAAUC).
Default AROC plotting
Bayesian bootstrap estimation of the pooled ROC curve.
Empirical estimation of the pooled ROC curve.
Posterior predictive checks.
Posterior predictive checks.
Print method for AROC objects
Summary method for AROC objects
Estimates the covariate-adjusted Receiver Operating Characteristic (AROC) curve and pooled (unadjusted) ROC curve by different methods. Inacio de Carvalho, V., and Rodriguez-Alvarez, M. X. (2018) <arXiv:1806.00473>. NOTE: We have created a new package, 'ROCnReg', with more functionalities. It also implements all the methods included in 'AROC'. We, therefore, recommend using 'ROCnReg' ('AROC' will no longer be maintained).