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.

Version: 1.0.2
Imports: Rcpp (≥ 0.12.18)
LinkingTo: Rcpp, RcppArmadillo
Suggests: testthat, covr, ggplot2, reshape2, plyr, MASS, knitr
Published: 2020-03-29
Author: Collin Erickson [aut, cre], Matthew Plumlee [aut]
Maintainer: Collin Erickson <collinberickson at>
License: GPL-3
NeedsCompilation: yes
Materials: README NEWS
CRAN checks: CGGP results


Reference manual: CGGP.pdf
Vignettes: CGGP
Package source: CGGP_1.0.2.tar.gz
Windows binaries: r-prerelease:, r-release:, r-oldrel:
macOS binaries: r-prerelease: CGGP_1.0.2.tgz, r-release: CGGP_1.0.2.tgz, r-oldrel: CGGP_1.0.1.tgz
Old sources: CGGP archive


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