Finds optimal designs for nonlinear models using a metaheuristic algorithm called imperialist competitive algorithm ICA. See, for details, Masoudi et al. (2017)
Imperialist Competitive Algorithm (ICA) to find optimal designs for nonlinear models.
Example: locally D-optimal design for the exponential model mica(fimfunc = "FIM_exp_2par", lx = 0, ux = 1, lp = c(2, 3), up = c(2, 3), iter = 40, k = 2, type = "locally", control = list(seed = 215))
How to isntall:
The most important function is mica that finds locally, minimax and standardized maximin D-optimal design for nonlinear models. on_average_ica also finds optim on the average optimal designs.