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.

Package details

AuthorCollin Erickson [aut, cre], Matthew Plumlee [aut]
MaintainerCollin Erickson <[email protected]>
LicenseGPL-3
Version1.0.1
URL https://github.com/CollinErickson/CGGP
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("CGGP")

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CGGP documentation built on June 15, 2019, 1:03 a.m.