calc.y.G: Given an information matrix and assuming logistic regression,...

Description Usage Arguments Value

View source: R/logistic.R

Description

Given an information matrix and assuming logistic regression, compute the G-optimal objective function

Usage

1
calc.y.G(I, epsilon = 1e-05)

Arguments

I

the information matrix

epsilon

a small real number used for regularization. If set to zero, no regularization takes place

Value

value of the G-optimal objective function


mst1g15/biasedcoin documentation built on Nov. 26, 2019, 4:01 a.m.