EstimateAUC.QP: Compute QP estimate for AUC Basic function to obtain the...

In blebedenko/thescript2: Boris's thesis scripts

Description

Compute QP estimate for AUC Basic function to obtain the quadratic programming deconvolution estimator of AUC, from the supplied data and the measurement error standard deviations.

Usage

EstimateAUC.QP(diseased, healthy, MESD_X, MESD_Y, K = NULL)

Arguments

diseased	vector of positive class observations
healthy	vector of negative class observations
MESD_X	positive class measurement error standard deviation
MESD_Y	negative class measurement error standard deviation in Y
K	hyperparameter of 'QPdecon', defaults to automatic choice as in QPdecon

Value

AUC estimate

Examples

x <- rnorm(150,2,1) + rnorm(150,0,0.5) #positive class obs.
y <- rnorm(180,0,1) + rnorm(180,0,0.3) #negative class obs.
EstimateAUC.QP(diseased=x,healthy=y,MESD_X=0.5,MESD_Y=0.3)

blebedenko/thescript2 documentation built on Dec. 19, 2021, 9:53 a.m.