pred.result: Calculate sensitivity, specitifity, accuracy and AUC of the...

In liyistat/iroc: Calculate and Plot the ROC curve

Description

Calculate sensitivity, specitifity, accuracy and AUC of the ROC. And the 0.95 CI of AUC were calculated by DeLong's method.

Usage

pred.result(testy, yhat)

Arguments

testy	A vector containing the true class labels.
yhat	A numeric vector containing prediction probabilities.

Value

result A list of sensitivity, specifity, accuracy, AUC and 0.95 CI of AUC.

Author(s)

Yi Li, [e-mail]

Examples

#Simulate true prediction labels
testy<-rep(c(0,1),500)
#Simulate prediction probabilities
yhat<-runif(1000, min = 0, max = 1)
#Calculate the sensitivity, specifity, accuracy in topleft of the ROC curve
#Calculate AUC and 0.95 CI of AUC.
pred.result(testy,yhat)

liyistat/iroc documentation built on May 21, 2019, 7:33 a.m.