UtilAucCBM: CBM AUC function

In RJafroc: Artificial Intelligence Systems and Observer Performance

CBM AUC function

Description

Returns the CBM ROC-AUC See also UtilAnalyticalAucsRSM, UtilAucPROPROC and UtilAucBinormal

Usage

UtilAucCBM(mu, alpha)

Arguments

mu	The mu parameter of CBM (separation of non-diseased and diseased pdfs)
alpha	The alpha parameter of CBM, i.e., the fraction of diseased cases on which the disease is visible

Value

CBM-predicted ROC-AUC for the specified parameters

References

Dorfman DD, Berbaum KS (2000) A contaminated binormal model for ROC data: Part II. A formal model, Acad Radiol 7:6 427–437.

Examples

mu <- 2;alpha <- 0.8
UtilAucCBM(mu,alpha)

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