Empirical Likelihood Ratio Test/Confidence Interval for AUC or pAUC

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Documentation for package ‘emplikAUC’ version 0.3

• DESCRIPTION file.
• User guides, package vignettes and other documentation.

Help Pages

EL2paucT1T2	Testing one pAUC(p1, p2) and two quantile values together by Empirical Likelihood.
el2test4auc	Testing one AUC value by Empirical likelihood.
el2testPauc	Testing one pAUC(0, p) value by Empirical likelihood.
el2testPaucT	Testing one pAUC(0, p) value and one quantile: F(tau) = 1-p together by Empirical Likelihood.
eltest4aucONE	Testing one AUC value by Empirical likelihood.
eltest4paucONE	Testing one pAUC value by Empirical likelihood.
eltest4paucT	Testing one pAUC and one quantile together by Empirical Likelihood.
findLnew	Finding the Lower bound of a confidence interval for theta by repeatedly testing the hypothesis for the parameter theta.
findULNEW	Finding the Upper and Lower bound of a confidence interval for theta by repeatedly testing the hypothesis for the parameter theta.
findUnew	Finding the Upper bound of a confidence interval for 'theta' by repeatedly testing the hypothesis for the parameter 'theta'.
myEstPaucT	Given the x, y 2-sample data, first estimate the (1-partial)-th quantile of X sample, then estimate the pAUC(0, partial), with the plug-in estimated quantile.
quantONE	Smoothed quantile estimation from the given x-sample.
smooth3	Smoothed indicator function I[x < y], which is the integration of the Epanechnikov kernal.
smooth3vec	Smoothed indicator function I[x < const], which is the integration of the Epanechnikov kernal.
smooth5vec	Smoothed indicator function I[x < const], which is the integration of the Quartic kernal.