betahat: Function for estimating beta using kernal function

In optAUC: Optimal Combinations of Diagnostic Tests Based on AUC

Description

Function for estimating beta using kernal function

Usage

betahat(X, Y, init, lambda)

Arguments

X	m X p data matrix for m non-diseased subjects with p markers
Y	n X p data matrix for n diseased subjects with p markers
init	initial value of the linear coefficients for the optimization algorithm
lambda	the smooth parameter for the Sigmoid function used for the AUC

optAUC documentation built on May 2, 2019, 2:07 a.m.