Composite Gaussian Process Models
The composite Gaussian process model package
Fit composite Gaussian process models
Jackknife (leave-one-out) actual by predicted diagnostic plot
Predict from the composite Gaussian process model
CGP model summary information
CGP model summary information
Fit composite Gaussian process (CGP) models as described in Ba and Joseph (2012) "Composite Gaussian Process Models for Emulating Expensive Functions", Annals of Applied Statistics. The CGP model is capable of approximating complex surfaces that are not second-order stationary. Important functions in this package are CGP, print.CGP, summary.CGP, predict.CGP and plotCGP.