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| ICAOD-package | 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. |
| 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 |
| 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.equivalence | print equivalence object |
| print.ICA | Print method for an object of class "ICA" |