hessAUC

beta


      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



      the smooth parameter for the Sigmoid function used for the AUC 


lambda

 ~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.

hessAUC: function for hessian matrix of AUC

Description

Usage

Arguments