The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
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 |
| 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 |
| Reference manual: | CGGP.pdf |
| Vignettes: |
CGGP |
| Package source: | CGGP_1.0.4.tar.gz |
| Windows binaries: | r-devel: CGGP_1.0.4.zip, r-release: CGGP_1.0.4.zip, r-oldrel: CGGP_1.0.4.zip |
| macOS binaries: | r-release (arm64): CGGP_1.0.4.tgz, r-oldrel (arm64): CGGP_1.0.4.tgz, r-release (x86_64): CGGP_1.0.4.tgz, r-oldrel (x86_64): CGGP_1.0.4.tgz |
| Old sources: | CGGP archive |
Please use the canonical form https://CRAN.R-project.org/package=CGGP to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.