It provides the cpp function for the FIM for the model ~theta0 + theta1* log(x + theta2).
FIM_loglin(x, w, param)Vector of design points.
Vector of design weight. Its length must be equal to the length of x and sum(w) = 1.
Vector of values for the model parameters c(theta0, theta1, theta2).
Fisher information matrix.
The FIM of this model does not depend on the parameter theta0.
Dette, H., Kiss, C., Bevanda, M., & Bretz, F. (2010). Optimal designs for the EMAX, log-linear and exponential models. Biometrika, 97(2), 513-518.