CGP: 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.

Package details

AuthorShan Ba and V. Roshan Joseph
MaintainerShan Ba <>
Package repositoryView on CRAN
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CGP documentation built on May 2, 2019, 1:09 p.m.