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| ICAOD-package | ICAOD: Finding Optimal Designs for Nonlinear Models |
| bayes | Bayesian D-Optimal Designs |
| bayescomp | Bayesian Compound DP-Optimal Designs |
| crt.bayes.control | Control Parameters for Evaluating Bayesian Criteria |
| crt.minimax.control | Control Parameters for Optimizing Minimax Criteria Over Parameter Space |
| FIM_2par_exp_censor1 | Fisher Information Matrix for a 2-Parameter Cox Proportional-Hazards Model for Type One Censored Data |
| FIM_2par_exp_censor2 | Fisher Information Matrix for a 2-Parameter Cox Proportional-Hazards Model for Random Censored Data |
| FIM_3par_exp_censor1 | Fisher Information Matrix for a 3-Parameter Cox Proportional-Hazards Model for Type One Censored Data |
| FIM_3par_exp_censor2 | Fisher Information Matrix for a 3-Parameter Cox Proportional-Hazards Model for Random Censored Data |
| FIM_exp_2par | Fisher Information Matrix for the 2-Parameter Exponential Model |
| FIM_logistic | Fisher Information Matrix for the 2-Parameter Logistic (2PL) Model |
| FIM_logistic_2pred | Fisher Information Matrix for the Logistic Model with Two Predictors |
| FIM_logistic_4par | Fisher Information Matrix for the 4-Parameter Logistic Model |
| FIM_loglin | Fisher Information Matrix for the Mixed Inhibition Model |
| FIM_mixed_inhibition | @title Fisher Information Matrix for the Mixed Inhibition Model. |
| FIM_power_logistic | Fisher Information Matrix for the Power Logistic Model |
| ICA.control | ICA Control Optimization Parameters |
| ICAOD | ICAOD: Finding Optimal Designs for Nonlinear Models |
| iterate | Updating an Object of Class 'bayes' or 'minimax' |
| iterate.bayes | Updating an Object of Class 'bayes' |
| iterate.minimax | Updating an Object of Class 'minimax' |
| locally | Locally D-Optimal Designs |
| minimax | Minimax and Standardized Maximin D-Optimal Designs |
| multiple | Locally Multiple Objective Optimal Designs for the 4-Parameter Hill Model |
| normal | Multivariate Normal Prior Distribution for Model Parameters |
| plot.bayes | Plotting 'bayes' Objects |
| plot.minimax | Plotting 'minimax' Objects |
| print.bayes | Printing 'bayes' Objects |
| print.minimax | Printing 'minimax' Objects |
| print.sensbayes | Printing 'sensbayes' Objects |
| print.sensminimax | Printing 'sensminimax' Objects |
| robust | Robust D-Optimal Designs |
| sens.bayes.control | Control Parameters for Verifying General Equivalence Theorem for Bayesian Designs |
| sens.minimax.control | Control Parameters for Verifying General Equivalence Theorem |
| sensbayes | Verifying Optimality of Bayesian D-optimal Designs |
| sensbayescomp | Verifying Optimality of Bayesian Compound DP-optimal Designs |
| senslocally | Verifying Optimality of Locally D-optimal Designs |
| sensminimax | Verifying Optimality of Minimax and Standardized maximin D-optimal Designs |
| sensmultiple | Verifying Optimality of Multiple Objective Designs for The 4-Parameter Hill Model |
| sensrobust | Verifying Optimality of Robust Designs |
| skewnormal | Multivariate Skewed Normal Prior Distribution for Model Parameters |
| student | Multivariate Student's t Prior Distribution for Model Parameters |
| uniform | Multivariate Uniform Prior Distribution for Model Parameters |