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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.
Getting started
Browse package contents
Package details |
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| Author | Shan Ba and V. Roshan Joseph |
| Maintainer | Shan Ba <shanbatr@gmail.com> |
| License | LGPL-2.1 |
| Version | 2.1-1 |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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