| bayes | Bayesian D-Optimal Designs |
| bayescomp | Bayesian Compound DP-Optimal Designs |
| bayes.update | Updating an Object of Class 'minimax' |
| beff | Calculates Relative Efficiency for Bayesian Optimal Designs |
| crt.bayes.control | Returns Control Parameters for Approximating Bayesian... |
| crt.minimax.control | Returns Control Parameters for Optimizing Minimax Criteria... |
| FIM_2par_exp_censor1 | Fisher Information Matrix for a 2-Parameter Cox... |
| FIM_2par_exp_censor2 | Fisher Information Matrix for a 2-Parameter Cox... |
| FIM_3par_exp_censor1 | Fisher Information Matrix for a 3-Parameter Cox... |
| FIM_3par_exp_censor2 | Fisher Information Matrix for a 3-Parameter Cox... |
| FIM_exp_2par | Fisher Information Matrix for the 2-Parameter Exponential... |
| FIM_kinetics_alcohol | Fisher Information Matrix for the Alcohol-Kinetics Model |
| FIM_logistic | Fisher Information Matrix for the 2-Parameter Logistic (2PL)... |
| FIM_logistic_2pred | Fisher Information Matrix for the Logistic Model with Two... |
| 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 | Fisher Information Matrix for the Mixed Inhibition Model. |
| FIM_power_logistic | Fisher Information Matrix for the Power Logistic Model |
| FIM_sig_emax | Fisher Information Matrix for the Sigmoid Emax Model |
| ICA.control | Returns ICA Control Optimization Parameters |
| ICAOD | ICAOD: Finding Optimal Designs for Nonlinear Models Using... |
| leff | Calculates Relative Efficiency for Locally Optimal Designs |
| locally | Locally D-Optimal Designs |
| locallycomp | Locally DP-Optimal Designs |
| meff | Calculates Relative Efficiency for Minimax Optimal Designs |
| minimax | Minimax and Standardized Maximin D-Optimal Designs |
| multiple | Locally Multiple Objective Optimal Designs for the... |
| normal | Assumes A Multivariate Normal Prior Distribution for The... |
| plot.minimax | Plotting 'minimax' Objects |
| print.minimax | Printing 'minimax' Objects |
| print.sensminimax | Printing 'sensminimax' Objects |
| robust | Robust D-Optimal Designs |
| sensbayes | Verifying Optimality of Bayesian D-optimal Designs |
| sensbayescomp | Verifying Optimality of Bayesian Compound DP-optimal Designs |
| sens.bayes.control | Returns Control Parameters for Approximating The Integrals In... |
| sens.control | Returns Control Parameters To Find Maximum of The Sensitivity... |
| senslocally | Verifying Optimality of The Locally D-optimal Designs |
| senslocallycomp | Verifying Optimality of The Locally DP-optimal Designs |
| sensminimax | Verifying Optimality of The Minimax and Standardized maximin... |
| sens.minimax.control | Returns Control Parameters for Verifying General Equivalence... |
| sensmultiple | Verifying Optimality of The Multiple Objective Designs for... |
| sensrobust | Verifying Optimality of The Robust Designs |
| skewnormal | Assumes A Multivariate Skewed Normal Prior Distribution for... |
| student | Multivariate Student's t Prior Distribution for Model... |
| uniform | Assume A Multivariate Uniform Prior Distribution for The... |
| update.minimax | Updating an Object of Class 'minimax' |
