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

In mst1g15/biasedcoin:

Description

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

Usage

calc.y.DA(I, A = t(matrix(c(0, 0, 1))), epsilon = 1e-05)

Arguments

I	the information matrix
A	a matrix where each column indicates the linear combination of parameters of interest
epsilon	a small real number used for regularization. If set to zero, no regularization takes place

Value

value of the D-A optimal objective function

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