Optimum threshold estimation based on cost function in a two and three state setting

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Documentation for package ‘ThresholdROC’ version 1.0

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ThresholdROC-package Estimates the optimum threshold and its variance in diagnostic settings
ablines3 Optimum threshold vertical lines added to density plot (3 state setting)
ablinesEmp2 Optimum threshold vertical lines added to density plot (empirical method - 2 state setting)
ablinesEq2 Optimum threshold vertical lines added to density plot (equal variances - 2 state setting)
ablinesUn2 Optimum threshold vertical lines added to density plot (unequal variances - 2 state setting)
icBoot3 Confidence intervals for the optimum thresholds using bootstrap standard error (3 state setting)
icBootEq2 Confidence interval for the optimum threshold assuming equal variances (2 state setting)
icBootUn2 Confidence interval for the optimum threshold assuming equal variances (2 state setting)
icDeltaEq2 Confidence interval for the optimum threshold assuming equal variances (2 state setting)
icDeltaUn2 Confidence interval for the optimum threshold assuming unequal variances (2 state setting)
icEmp2 Confidence interval for the optimum threshold using the empirical method (2 state setting)
icParam3 Confidence intervals for the optimum thresholds using parametric methods (3 state setting)
plotCostROC Plot ROC Curve and Cost Function (2 state setting)
plotDens2 Plot of the sample densities (2 state setting)
plotDens3 Plot of the sample densities (3 state setting)
print.DELTAEQ Confidence interval for the optimum threshold assuming equal variances (2 state setting)
print.DELTAUN Confidence interval for the optimum threshold assuming unequal variances (2 state setting)
print.ICBOOT3 Confidence intervals for the optimum thresholds using bootstrap standard error (3 state setting)
print.ICEMP2 Confidence interval for the optimum threshold using the empirical method (2 state setting)
print.ICEQ2 Confidence interval for the optimum threshold assuming equal variances (2 state setting)
print.ICPARAM3 Confidence intervals for the optimum thresholds using parametric methods (3 state setting)
print.ICUN2 Confidence interval for the optimum threshold assuming equal variances (2 state setting)
print.SS Sample Size estimation associated to an optimum sample size ratio and decision costs (2 state setting)
print.thresEmp2 Threshold estimation by the empirical method (2 state setting)
print.thresEq2 Threshold estimation assuming equal variances (2 state setting)
print.THRESNLM3 Threshold estimation for a trinormal setting (3 state setting)
print.thresTH2 Real optimum threshold for the specific context (2 state setting)
print.THRESTH3 Threshold estimation given distribution parameters (3 state setting)
print.thresUn2 Threshold estimation assuming unequal variances (2 state setting)
SecondDer2st Second partial derivative of the cost function (2 state setting)
SecondDer3st Second partial derivative of the cost function (3 state setting)
slope Slope estimate for the ROC Curve at the optimum threshold (2 state setting)
SS Sample Size estimation associated to an optimum sample size ratio and decision costs (2 state setting)
SSRatio Sample Size Ratio between non-diseased and diseased subjects (2 state setting)
thresEmp2 Threshold estimation by the empirical method (2 state setting)
thresEq2 Threshold estimation assuming equal variances (2 state setting)
ThresholdROC Estimates the optimum threshold and its variance in diagnostic settings
thresNLM3 Threshold estimation for a trinormal setting (3 state setting)
thresTH2 Real optimum threshold for the specific context (2 state setting)
thresTH3 Threshold estimation given distribution parameters (3 state setting)
thresUn2 Threshold estimation assuming unequal variances (2 state setting)