CollinErickson/CGGP: Composite Grid Gaussian Processes
Run computer experiments using the adaptive composite grid algorithm with a Gaussian process model. The algorithm works best when running an experiment that can evaluate thousands of points from a deterministic computer simulation. This package is an implementation of a forthcoming paper by Plumlee, Erickson, Ankenman, et al. For a preprint of the paper, contact the maintainer of this package.
Getting started
Browse package contents
Package details |
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| Maintainer | |
| License | GPL-3 |
| Version | 1.0.4.9000 |
| URL | https://github.com/CollinErickson/CGGP |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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