Imperialist Competitive Algorithm for Optimal Designs

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Documentation for package ‘ICAOD’ version 0.9.1

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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.
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.
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.equivalence print equivalence object
print.ICA Print method for an object of class "ICA"