FIM_logistic_2pred

Vector of design points (for first predictor).

Vector of design points (for second predictor).

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(b0, b1, b2, b3)</code>.

param

It provides the cpp function for FIM for the following model:
 <code>~exp(b0+ b1 * x1 + b2 * x2 + b3 * x1 * x2)/(1 + exp(b0 + b1 * x1 + b2 * x2 + b3 * x1 * x2))</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

FIM_logistic_2pred: Fisher Information Matrix for the Logistic Model with Two Predictors

Description

Usage

Arguments

Value