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| DiagTest3Grp-package | Diagnostic test summary measures for three ordinal groups |
| AL | Alzheimer's disease neuropsychometric marker dataset |
| bootSample | Draw a bootstrap sample from a given vector of data values |
| BW.ref | Calculate the bandwidth (normal reference rule and Sheather-Jones plug-in rule) in kernel smoothing for density estimation |
| CI.normal | Provide the lower and upper limit of a normal confidence interval given an estimate and its associated variance |
| DiagTest3Grp | Diagnostic test summary measures for three ordinal groups |
| DiagTest3Grp.Test | Statistical test on the summary measure (VUS or Youden) estimate on two markers or multiple markers |
| empirical.cdf | Empirical cumulative density function estimation |
| FisherZ | Fisher's Z transformation |
| FisherZ.Var | Calculate the variance of an estimator after Fisher's Z transformation |
| KernelSmoothing.cdf | Kernel smoothing cumulative density function (CDF) |
| NonParametric.VUS | Nonparametric estimate of volumn under ROC surface (VUS) |
| NonParametric.VUS.var | Boostrap variance of the nonparametric estimate on volumn under ROC surface (VUS) |
| Normal.VUS | Volume under ROC surface (VUS) and partial VUS estimate and associated variance under normality assumptions |
| Pairwise.DiagTest3Grp.Test | Do pairwise statistical test on the summary measure (VUS or Youden) estimate between a pair among multiple markers |
| plot.DiagTest3Grp | Scatter plot and boxplot on an object of class DiagTest3Grp |
| print.DiagTest3Grp | Print an object of class DiagTest3Grp |
| SampleSize.VUS | Sample size for volume under surface (VUS) |
| SampleSize.Youden3Grp | Sample size for the extended Youden index for three ordinal groups |
| Sp.Sm.Se | Obtain empirical estimation of the three correct classification probabilities |
| var.mu | Variance estimate of the sample estimate for a normal mean parameter |
| var.sigma | Variance of a sample estimate for a normal standard deviation (SD) parameter |
| VUS | A wrapper function for Volume under Surface (VUS) estimate, variance estimate under normal and nonparametric assumption and sample size calculation |
| VUS.CutPoint | Find the optimal cut-points in volumn under ROC surface (VUS) analyses |
| Youden3Grp | The wrapper function for Youden index analysis |
| Youden3Grp.OptimalCutoff.Normal.trueMeanSD | The Youden index and optimal cut point estimation under normal distribution for three ordinal diagnostic groups |
| Youden3Grp.PointEst | Provide point estimates for the extended Youden index, the associated optimal cut-points, and sample size for three ordinal groups |
| Youden3Grp.Variance.Bootstrap | Obtain bootstrap variance and confidence itnerval on the extended Youden index and optimal cut-off points |
| Youden3Grp.Variance.Normal | Variance estimations for the extended Youden index and associated lower and upper optimal cut-point under normality assumption |