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AROC (version 1.0-4)

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. Inacio de Carvalho, V., and Rodriguez-Alvarez, M. X. (2018) . 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).

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Version

Install

install.packages('AROC')

Monthly Downloads

84

Version

1.0-4

License

GPL

Maintainer

Maria Xose Rodriguez-Alvarez mxrodriguez@uvigo.es

Last Published

February 21st, 2022

Functions in AROC (1.0-4)

compute.threshold.AROC.kernel

AROC-based threshold values.
compute.threshold.AROC.bsp

AROC-based threshold values.
compute.threshold.pooledROC.BB

Pooled ROC-based threshold values.
AROC-package

AROC
compute.threshold.AROC.sp

AROC-based threshold values.
AROC.bnp

Nonparametric Bayesian inference of the covariate-adjusted ROC curve (AROC).
compute.threshold.AROC.bnp

AROC-based threshold values.
AROC.sp

Semiparametric frequentist inference of the covariate-adjusted ROC curve (AROC).
AROC.bsp

Semiparametric Bayesian inference of the covariate-adjusted ROC curve (AROC).
AROC.kernel

Non parametric kernel-based estimation of the covariate-adjusted ROC curve (AROC).
plot.AROC

Default AROC plotting
print.AROC

Print method for AROC objects
predictive.checks.AROC.bsp

Posterior predictive checks.
pooledROC.emp

Empirical estimation of the pooled ROC curve.
predictive.checks.AROC.bnp

Posterior predictive checks.
pooledROC.BB

Bayesian bootstrap estimation of the pooled ROC curve.
psa

Prostate specific antigen (PSA) biomarker study.
summary.AROC

Summary method for AROC objects
compute.threshold.pooledROC.emp

Pooled ROC-based threshold values.
paauccontrol

Partial area under the covariate-adjusted ROC curve (pAAUC).