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.
ICAOD                   ICAOD: finds optimal designs for nonlinear
                        models
ave                     Imperialist Competitive Algorithm to find
                        optimum on-the-average designs based on the
                        least favorable distribution.
equivalence             Checking optimality of a design with respect to
                        locally D-optimal, minimax D-optimal and
                        standardized maximin D-optimal criteria
equivalence_ave         Checking the optimality of a design with
                        respect to the optim-on-the-average criterion
equivalence_multiple    Checking the optimality of a given design with
                        respect to the multi-objective criterion for
                        the 4-parameter logistic model.
iterate                 update the object by running the ICA algorithm
                        for more number of iterations.
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 model
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
