| GPareto-package | Package GPareto | 
| checkPredict | Prevention of numerical instability for a new observation | 
| CPF | Conditional Pareto Front simulations | 
| crit_EHI | Expected Hypervolume Improvement with m objectives | 
| crit_EMI | Expected Maximin Improvement with m objectives | 
| crit_optimizer | Maximization of multiobjective infill criterion | 
| crit_qEHI | Batch Expected Hypervolume Improvement with m objectives | 
| crit_SMS | Analytical expression of the SMS-EGO criterion with m>1 objectives | 
| crit_SUR | Analytical expression of the SUR criterion for two or three objectives. | 
| DTLZ1 | Test functions of x | 
| DTLZ2 | Test functions of x | 
| DTLZ3 | Test functions of x | 
| DTLZ7 | Test functions of x | 
| easyGParetoptim | EGO algorithm for multiobjective optimization | 
| fastfun | Fast-to-evaluate function wrapper | 
| getDesign | Get design corresponding to an objective target | 
| GPareto | Package GPareto | 
| GParetoptim | Sequential multi-objective Expected Improvement maximization and model re-estimation, with a number of iterations fixed in advance by the user | 
| integration_design_optim | Function to build integration points (for the SUR criterion) | 
| MOP2 | Test functions of x | 
| MOP3 | Test functions of x | 
| nonDomSet | Non-dominated points with respect to a reference | 
| OKA1 | Test functions of x | 
| P1 | Test functions of x | 
| P2 | Test functions of x | 
| ParetoSetDensity | Estimation of Pareto set density | 
| plotGPareto | Plot multi-objective optimization results and post-processing | 
| plotParetoEmp | Pareto front visualization | 
| plotParetoGrid | Visualisation of Pareto front and set | 
| plotSymDevFun | Display the Symmetric Deviation Function | 
| plotSymDifRNP | Symmetrical difference of RNP sets | 
| plot_uncertainty | Plot uncertainty | 
| predict_kms | Predict function for list of 'km' models. | 
| ZDT1 | Test functions of x | 
| ZDT2 | Test functions of x | 
| ZDT3 | Test functions of x | 
| ZDT4 | Test functions of x | 
| ZDT6 | Test functions of x |