gradsqr

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.

gradsqr: The function of grad_square in the GCV

Description

Usage

Arguments