Performance Assessment of Binary Classifier with Visualization

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Documentation for package ‘ROCit’ version 2.1.2

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

Help Pages

cartesian_2D	Cartesian Product of Two Vectors
ciAUC	Confidence Interval of AUC
ciAUC.rocit	Confidence Interval of AUC
ciROC	Confidence Interval of ROC curve
ciROC.rocit	Confidence Interval of ROC curve
ciROCbin	Confidence Interval of Binormal ROC Curve
ciROCemp	Confidence Interval of Empirical ROC Curve
convertclass	Converts Binary Vector into 1 and 0
Diabetes	Diabetes Data
gainstable	Gains Table for Binary Classifier
gainstable.default	Gains Table for Binary Classifier
gainstable.rocit	Gains Table for Binary Classifier
getsurvival	Survival Probability
ksplot	KS Plot
ksplot.rocit	KS Plot
Loan	Loan Data
measureit	Performance Metrics of Binary Classifier
measureit.default	Performance Metrics of Binary Classifier
measureit.rocit	Performance Metrics of Binary Classifier
MLestimates	ML Estimate of Normal Parameters
plot.gainstable	Plot '"gainstable"' Object
plot.rocci	Plot ROC Curve with confidence limits
plot.rocit	Plot ROC Curve
print.gainstable	Print "gainstable" Object
print.measureit	Print "measureit" Object
print.rocci	Print 'rocci' Object
print.rocit	Print 'rocit' Object
print.rocitaucci	Print Confidence Interval of AUC
rankorderdata	Rank order data
rocit	ROC Analysis of Binary Classifier
summary.rocit	Summary of rocit object
trapezoidarea	Approximate Area with Trapezoid Rule