AROC.bnp | Nonparametric Bayesian inference of the covariate-adjusted... |
AROC.kernel | Nonparametric kernel-based estimation of the... |
AROC.sp | Semiparametric frequentist inference for the... |
compute.threshold.AROC | AROC based threshold values. |
compute.threshold.cROC | Covariate-specific ROC based threshold values. |
compute.threshold.pooledROC | Pooled ROC based threshold values. |
cROC.bnp | Nonparametric Bayesian inference for the covariate-specific... |
cROCData | Selects an adequate set of points from a data set for... |
cROC.kernel | Nonparametric kernel-based estimation of the... |
cROC.sp | Parametric and semiparametric frequentist inference of the... |
densitycontrol | (Conditional) density estimates of test outcomes |
densitycontrol.aroc | Conditional density estimates of test outcomes in the healthy... |
endosyn | Simulated endocrine data. |
mcmccontrol | Markov chain Monte Carlo (MCMC) parameters |
pauccontrol | Partial area under the... |
plot.AROC | Default AROC plotting |
plot.cROC | Default cROC plotting |
plot.pooledROC | Default pooledROC plotting |
pooledROC.BB | Bayesian bootstrap estimation of the pooled ROC curve. |
pooledROC.dpm | Nonparametric Bayesian inference of the pooled ROC curve |
pooledROC.emp | Empirical estimation of the pooled ROC curve. |
pooledROC.kernel | Kernel-based estimation of the pooled ROC curve. |
predictive.checks | Posterior predictive checks. |
print.AROC | Print method for 'AROC' objects |
print.cROC | Print method for 'cROC' objects |
print.pooledROC | Print method for 'pooledROC' objects |
priorcontrol.bnp | Prior information for the 'AROC.bnp' and 'cROC.bnp' |
priorcontrol.dpm | Prior information for the 'pooledROC.dpm' |
psa | Prostate specific antigen (PSA) biomarker study. |
ROCnReg-package | ROC Curve Inference with and without Covariates |
summary.AROC | Summary method for 'AROC' objects |
summary.cROC | Summary method for 'cROC' objects |
summary.pooledROC | Summary method for 'pooledROC' objects |
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