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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.
Package details |
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Author | Collin Erickson [aut, cre], Matthew Plumlee [aut] |
Maintainer | Collin Erickson <collinberickson@gmail.com> |
License | GPL-3 |
Version | 1.0.3 |
URL | https://github.com/CollinErickson/CGGP |
Package repository | View on CRAN |
Installation |
Install the latest version of this package by entering the following in R:
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