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.
Version: 1.0.4 Imports: Rcpp (≥ 0.12.18) LinkingTo: Rcpp, RcppArmadillo Suggests: testthat, covr, ggplot2, reshape2, plyr, MASS, rmarkdown, knitr Published: 2024-01-23 DOI: 10.32614/CRAN.package.CGGP Author: Collin Erickson [aut, cre], Matthew Plumlee [aut] Maintainer: Collin Erickson <collinberickson at gmail.com> BugReports: https://github.com/CollinErickson/CGGP/issues License: GPL-3 URL: https://github.com/CollinErickson/CGGP NeedsCompilation: yes Materials: README NEWS CRAN checks: CGGP results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=CGGP to link to this page.
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