betahat


m X p data matrix for m non-diseased subjects with p markers



n X p data matrix for n diseased subjects with p markers



initial value of the linear coefficients for the optimization algorithm


init


the smooth parameter for the Sigmoid function used for the AUC 


lambda


Function for estimating beta using kernal function


 ~kwd1 

 ~kwd2 

Searches for optimal linear combination of multiple
diagnostic tests (markers) that maximizes the area under the
receiver operating characteristic curve (AUC); performs an
approximated cross-validation for estimating the AUC associated
with the estimated coefficients.

betahat: Function for estimating beta using kernal function

Description

Usage

Arguments