FIM_sig_emax

Vector of design weight. Its length must be equal to the length of <code>x</code> and <code>sum(w) = 1</code>.

Vector of values for the model parameters <code>c(b1, b2, b3, b4)</code>.
The mean of response variable is .

param

It provides the cpp function for FIM for the model <code>~b1+(b2-b1)*(x^b4)/(x^b4+b3^b4)</code>

Finds optimal designs for nonlinear models using a metaheuristic algorithm called Imperialist Competitive Algorithm (ICA). See, for details, Masoudi et al. (2017) <doi:10.1016/j.csda.2016.06.014> and Masoudi et al. (2019) <doi:10.1080/10618600.2019.1601097>.

Ehsan Masoudi

ICAOD

FIM_sig_emax: Fisher Information Matrix for the Sigmoid Emax Model

Description

Usage

Arguments

Value