Empirical Likelihood Ratio Test/Confidence Interval for AUC or pAUC


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Documentation for package ‘emplikAUC’ version 0.4

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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.
smooth0 Non-Smoothed indicator function 0.5I[x=y] + I[x < y].
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.
smoothLvec Smoothed indicator function I[x < const], linear connecting the 1 and 0 on [-eps, eps].