Composite Gaussian Process Models

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.


Reference manual

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install.packages("CGP")

2.1-1 by Shan Ba, 8 years ago


Browse source code at https://github.com/cran/CGP


Authors: Shan Ba and V. Roshan Joseph


Documentation:   PDF Manual  


LGPL-2.1 license



See at CRAN