| allocate_mult | Allocation of replicates on existing designs |
| ato | Assemble To Order (ATO) Data and Fits |
| bfs | Bayes Factor Data |
| compareGP | Likelihood-based comparison of models |
| cov_gen | Correlation function of selected type, supporting both... |
| crit_cSUR | Contour Stepwise Uncertainty Reduction criterion |
| crit_EI | Expected Improvement criterion |
| crit_ICU | Integrated Contour Uncertainty criterion |
| crit_IMSPE | Sequential IMSPE criterion |
| crit_logEI | Logarithm of Expected Improvement criterion |
| crit_MCU | Maximum Contour Uncertainty criterion |
| crit_MEE | Maximum Empirical Error criterion |
| crit_optim | Criterion optimization |
| crit_qEI | Parallel Expected improvement |
| crit_tMSE | t-MSE criterion |
| deriv_crit_EI | Derivative of EI criterion for GP models |
| deriv_crit_IMSPE | Derivative of crit_IMSPE |
| ExpImp | Import and export of hetGP objects |
| f1d | 1d test function (1) |
| f1d2 | 1d test function (2) |
| f1d2_n | Noisy 1d test function (2) Add Gaussian noise with variance... |
| f1d_n | Noisy 1d test function (1) Add Gaussian noise with variance... |
| find_reps | Data preprocessing |
| hetGP-package | Package hetGP |
| horizon | Adapt horizon |
| IMSPE | Integrated Mean Square Prediction Error |
| IMSPE_optim | IMSPE optimization |
| logLikH | Generic Log-likelihood function This function can be used to... |
| LOO_preds | Leave one out predictions |
| mleCRNGP | Gaussian process modeling with correlated noise |
| mleHetGP | Gaussian process modeling with heteroskedastic noise |
| mleHetTP | Student-t process modeling with heteroskedastic noise |
| mleHomGP | Gaussian process modeling with homoskedastic noise |
| mleHomTP | Student-T process modeling with homoskedastic noise |
| predict.CRNGP | Gaussian process predictions using a GP object for correlated... |
| predict.hetGP | Gaussian process predictions using a heterogeneous noise GP... |
| predict.hetTP | Student-t process predictions using a heterogeneous noise TP... |
| predict.homGP | Gaussian process predictions using a homoskedastic noise GP... |
| predict.homTP | Student-t process predictions using a homoskedastic noise GP... |
| pred_noisy_input | Gaussian process prediction prediction at a noisy input 'x',... |
| scores | Score and RMSE function To asses the performance of the... |
| simul | Conditional simulation for CRNGP |
| simul.CRNGP | Fast conditional simulation for a CRNGP model |
| SIR | SIR test problem |
| update.hetGP | Update '"hetGP"'-class model fit with new observations |
| update.hetTP | Update '"hetTP"'-class model fit with new observations |
| update.homGP | Fast 'homGP'-update |
| update.homTP | Fast 'homTP'-update |
| Wij | Compute double integral of the covariance kernel over a... |
