IMSPE                   Integrated Mean Square Prediction Error
IMSPE_optim             IMSPE optimization
LOO_preds               Leave one out predictions
Wij                     Compute double integral of the covariance
                        kernel over a [0,1]^d domain
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 isotropic and product forms
crit_EI                 Expected Improvement criterion
crit_ICU                Integrated Contour Uncertainty criterion
crit_IMSPE              Sequential IMSPE criterion
crit_MCU                Maximum Contour Uncertainty criterion
crit_cSUR               Contour Stepwise Uncertainty Reduction
                        criterion
crit_optim              Criterion optimization
crit_tMSE               t-MSE criterion
deriv_crit_EI           Derivative of EI criterion for GP models
deriv_crit_IMSPE        Derivative of crit_IMSPE
f1d                     1d test function
find_reps               Data preprocessing
hetGP-package           Package hetGP
horizon                 Adapt horizon
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.hetGP           Gaussian process predictions using a
                        heterogeneous noise GP object (of class
                        'hetGP')
predict.hetTP           Student-t process predictions using a
                        heterogeneous noise TP object (of class
                        'hetTP')
predict.homGP           Gaussian process predictions using a
                        homoskedastic noise GP object (of class
                        'homGP')
predict.homTP           Student-t process predictions using a
                        homoskedastic noise GP object (of class
                        'homGP')
rebuild                 Import and export of hetGP objects
sirEval                 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
