| aGP | Localized Approximate GP Regression For Many Predictive Locations |
| aGP.parallel | Localized Approximate GP Regression For Many Predictive Locations |
| aGP.R | Localized Approximate GP Regression For Many Predictive Locations |
| aGP.seq | Localized Approximate GP Regression For Many Predictive Locations |
| aGPsep | Localized Approximate GP Regression For Many Predictive Locations |
| aGPsep.R | Localized Approximate GP Regression For Many Predictive Locations |
| alcGP | Improvement statistics for sequential or local design |
| alcGPsep | Improvement statistics for sequential or local design |
| alcoptGP | Improvement statistics for sequential or local design |
| alcoptGPsep | Improvement statistics for sequential or local design |
| alcrayGP | Improvement statistics for sequential or local design |
| alcrayGPsep | Improvement statistics for sequential or local design |
| blhs | Bootstrapped block Latin hypercube subsampling |
| blhs.loop | Bootstrapped block Latin hypercube subsampling |
| dalcGP | Improvement statistics for sequential or local design |
| dalcGPsep | Improvement statistics for sequential or local design |
| darg | Generate Priors for GP correlation |
| deleteGP | Delete C-side Gaussian Process Objects |
| deleteGPs | Delete C-side Gaussian Process Objects |
| deleteGPsep | Delete C-side Gaussian Process Objects |
| deleteGPseps | Delete C-side Gaussian Process Objects |
| discrep.est | Estimate Discrepancy in Calibration Model |
| distance | Calculate the squared Euclidean distance between pairs of points |
| fcalib | Objective function for performing large scale computer model calibration via optimization |
| fishGP | Improvement statistics for sequential or local design |
| garg | Generate Priors for GP correlation |
| ieciGP | Improvement statistics for sequential or local design |
| ieciGPsep | Improvement statistics for sequential or local design |
| jmleGP | Inference for GP correlation parameters |
| jmleGP.R | Inference for GP correlation parameters |
| jmleGPsep | Inference for GP correlation parameters |
| jmleGPsep.R | Inference for GP correlation parameters |
| laGP | Localized Approximate GP Prediction At a Single Input Location |
| laGP.R | Localized Approximate GP Prediction At a Single Input Location |
| laGPsep | Localized Approximate GP Prediction At a Single Input Location |
| laGPsep.R | Localized Approximate GP Prediction At a Single Input Location |
| llikGP | Calculate a GP log likelihood |
| llikGPsep | Calculate a GP log likelihood |
| mleGP | Inference for GP correlation parameters |
| mleGPsep | Inference for GP correlation parameters |
| mleGPsep.R | Inference for GP correlation parameters |
| mspeGP | Improvement statistics for sequential or local design |
| newGP | Create A New GP Object |
| newGPsep | Create A New GP Object |
| optim.auglag | Optimize an objective function under multiple blackbox constraints |
| optim.efi | Optimize an objective function under multiple blackbox constraints |
| predGP | GP Prediction/Kriging |
| predGPsep | GP Prediction/Kriging |
| randLine | Generate two-dimensional random paths |
| updateGP | Create A New GP Object |
| updateGPsep | Create A New GP Object |