Efficacy_curve {CUtools}R Documentation

Efficacy curve for a predictive model/biomarker

Description

The curve plot the efficacy of a predictive model for different missclassfication event rates

Usage

Efficacy_curve(Prob,yt)

Arguments

Prob

A vector with the event probability values provided by the biomarker

yt

A vector with the actual event values

Details

Prob must be a numeric vector with values between 0 and 1, yt a numeric vector with dichotomic values 0/1 and z a numeric value between 0 and 100

Value

The returned fit object of Efficacy_curve contains the plot of the Efficacy curve.

EfficacyCurve

Plot of the Efficacy of the biomarker Prob at different rates of missclasified events

Author(s)

Maria Escorihuela, Luis Mariano Esteban, Gerardo Sanz, Angel Borque

Examples

###We generate a marker to serve as an example and plot the curve

Prob<-c(rnorm(1000,0.4,0.1),rnorm(1000,0.5,0.05))
yt<-rep(c(0,1),c(1000,1000))

Efficacy_curve(Prob=Prob,yt=yt)

[Package CUtools version 0.1.0 Index]