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CGP (version 2.1-1)

Composite Gaussian Process Models

Description

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.

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Version

Install

install.packages('CGP')

Monthly Downloads

205

Version

2.1-1

License

LGPL-2.1

Maintainer

Shan Ba

Last Published

June 12th, 2018

Functions in CGP (2.1-1)

predict.CGP

Predict from the composite Gaussian process model
CGP

Fit composite Gaussian process models
summary.CGP

CGP model summary information
print.CGP

CGP model summary information
CGP-package

The composite Gaussian process model package
plotCGP

Jackknife (leave-one-out) actual by predicted diagnostic plot