ciROCemp: Confidence Interval of Empirical ROC Curve

In ROCit: Performance Assessment of Binary Classifier with Visualization

Description

Function ciROCemp estimates confidence interval of empirically estimated ROC curve.

Usage

ciROCemp(rocit_emp, level)

Arguments

rocit_emp	An object of class rocit, (method = "empirical").
level	Desired level of confidence to be estimated.

Value

A list object containing TPR, upper and lower bound of TPR at certain FPR values.

Comment

ciROCemp is used internally in ciROC.rocit of ROCit.

See Also

rocit, ciROC, plot.rocci

Examples

set.seed(100)
score <- c(runif(20, 15, 35), runif(15, 25, 45))
class <- c(rep(1, 20), rep(0, 15))
rocit_object <- rocit(score, class)
ciROC <- ciROCemp(rocit_object, level = 0.9)
names(ciROC)

Example output

[1] "ROC estimation method" "Confidence level"      "FPR"                  
[4] "TPR"                   "LowerTPR"              "UpperTPR"             

ROCit documentation built on July 1, 2020, 11:28 p.m.