Optimal Designs for Nonlinear Statistical Models by Imperialist Competitive Algorithm (ICA)
Bayesian D-Optimal Designs
Updating an Object of Class minimax
Bayesian Compound DP-Optimal Designs
Calculates Relative Efficiency for Bayesian Optimal Designs
Returns Control Parameters for Approximating Bayesian Criteria
Returns Control Parameters for Optimizing Minimax Criteria Over The Pa...
Fisher Information Matrix for a 2-Parameter Cox Proportional-Hazards M...
Fisher Information Matrix for a 2-Parameter Cox Proportional-Hazards M...
Fisher Information Matrix for a 3-Parameter Cox Proportional-Hazards M...
Fisher Information Matrix for a 3-Parameter Cox Proportional-Hazards M...
Fisher Information Matrix for the 2-Parameter Exponential Model
Fisher Information Matrix for the Alcohol-Kinetics Model
Fisher Information Matrix for the 2-Parameter Logistic (2PL) Model
Fisher Information Matrix for the Logistic Model with Two Predictors
Fisher Information Matrix for the 4-Parameter Logistic Model
Fisher Information Matrix for the Mixed Inhibition Model
Fisher Information Matrix for the Mixed Inhibition Model.
Fisher Information Matrix for the Power Logistic Model
Fisher Information Matrix for the Sigmoid Emax Model
Returns ICA Control Optimization Parameters
ICAOD: Finding Optimal Designs for Nonlinear Models Using Imperialist ...
Calculates Relative Efficiency for Locally Optimal Designs
Locally D-Optimal Designs
Locally DP-Optimal Designs
Calculates Relative Efficiency for Minimax Optimal Designs
Minimax and Standardized Maximin D-Optimal Designs
Locally Multiple Objective Optimal Designs for the 4-Parameter Hill Mo...
Assumes A Multivariate Normal Prior Distribution for The Model Paramet...
Plotting minimax Objects
Printing minimax Objects
Printing sensminimax Objects
Robust D-Optimal Designs
Returns Control Parameters for Approximating The Integrals In The Baye...
Returns Control Parameters To Find Maximum of The Sensitivity (Derivat...
Returns Control Parameters for Verifying General Equivalence Theorem F...
Verifying Optimality of Bayesian D-optimal Designs
Verifying Optimality of Bayesian Compound DP-optimal Designs
Verifying Optimality of The Locally D-optimal Designs
Verifying Optimality of The Locally DP-optimal Designs
Verifying Optimality of The Minimax and Standardized maximin D-optimal...
Verifying Optimality of The Multiple Objective Designs for The 4-Param...
Verifying Optimality of The Robust Designs
Assumes A Multivariate Skewed Normal Prior Distribution for The Model ...
Multivariate Student's t Prior Distribution for Model Parameters
Assume A Multivariate Uniform Prior Distribution for The Model Paramet...
Updating an Object of Class minimax
Finds optimal designs for nonlinear models using a metaheuristic algorithm called Imperialist Competitive Algorithm (ICA). See, for details, Masoudi et al. (2017) <doi:10.1016/j.csda.2016.06.014> and Masoudi et al. (2019) <doi:10.1080/10618600.2019.1601097>.