PlotCbmFit: Plot CBM fitted curve

In RJafroc: Artificial Intelligence Systems and Observer Performance

Plot CBM fitted curve

Description

Plot the CBM-predicted ROC curve with provided CBM parameters

Usage

PlotCbmFit(mu, alpha)

Arguments

mu	vector: the mean(s) of the z-samples of the diseased distribution(s) where the disease is visible
alpha	vector: the proportion(s) of the diseased distribution(s) where the disease is visible

Details

mu and alpha must have equal length. The predicted ROC curve for each mu and alpha pair will be plotted.

Value

A ggplot2 object of the plotted ROC curve(s)

References

Dorfman DD, Berbaum KS (2000) A contaminated binormal model for ROC data: Part II. A formal model, Acad Radiol 7, 427–437.

Examples

cbmPlot <- PlotCbmFit(c(1, 2), c(0.5, 0.5))
## print(cbmPlot)

RJafroc documentation built on Nov. 10, 2022, 5:45 p.m.