FIM_comp_inhibition     Fisher information matrix for the competitive
                        inhibition Michaelis-Menten model.
FIM_emax_3par           Fisher information matrix for the
                        three-parameter emax model.
FIM_exp_2par            Fisher information matrix for the two-parameter
                        exponential model.
FIM_exp_3par            Fisher information matrix for the
                        three-parameter exponential model.
FIM_logisitic_1par      Fisher information matrix for the one-parameter
                        logistic model (1PL or Rasch model).
FIM_logistic            Fisher information matrix for the two-parameter
                        logistic (2PL) model.
FIM_logistic_4par       Fisher information matrix for the four
                        parameter logistic model.
FIM_loglin              Fisher information matrix for the log-linear
                        model.
FIM_michaelis           Fisher information matrix for the
                        Michaelis-Menten model.
FIM_mixed_inhibition    Fisher information matrix for the mixed
                        inhibition Michaelis-Menten model.
FIM_noncomp_inhibition
                        Fisher information matrix for the
                        noncompetitive inhibition Michaelis-Menten
                        model.
FIM_power_logistic      Fisher information matrix for the power
                        logistic model.
FIM_uncomp_inhibition   Fisher information matrix for the uncompetitive
                        inhibition Michaelis-Menten model.
equivalence             Checking minimax, standardized maximin and
                        locally D-optimality of a givne design by
                        equivalence theorem
equivalence_multiple    Checking the optimality of a given design with
                        respect to the multi-objective criterion for
                        the 4-parameter logisitic model.
equivalence_on_average
                        Checking the optimality of a given design with
                        respect to the optim-on-the-average criterion
                        by equivalence theorem.
iterate                 update the object of class 'ICA'.
iterate.ICA             Update an object of class 'ICA'
mica                    Imperialist Competitive Algorithm to find
                        locally, minimax and standardized maximin
                        D-optimal designs for nonlinear models
multica_4pl             Imperialist Competitive Algorithm to find
                        multiple-objective optimal designs for the
                        4-parameter logistic models.
on_average_ica          Imperialist Competitive Algorithm to find
                        optimum on-the-average designs based on the
                        least favorable distribution.
plot.ICA                Plot method for an object of class "ICA".
print.ICA               Print method for an object of class "ICA"
print.equivalence       print equivalence object
