Computes near-optimal Bayesian experimental designs with Gaussian processes optimization following the algorithm presented by B. Weaver, et al. (2016) <doi:10.1214/15-BA945> for either physical or sequential computer experiments.
| Version: | 0.2.0 |
| Imports: | DiceKriging, DiceOptim, lhs, pbapply, utils, graphics, stats |
| Suggests: | testthat, parallel |
| Published: | 2020-01-24 |
| Author: | Isaac Michaud [aut, cre], Brian Weaver [aut], Brian Williams [aut] |
| Maintainer: | Isaac Michaud <imichaud at lanl.gov> |
| BugReports: | https://github.com/isaacmichaud/GADGET/issues |
| License: | BSD_3_clause + file LICENSE |
| Copyright: | see file COPYRIGHTS |
| NeedsCompilation: | no |
| Materials: | README NEWS |
| CRAN checks: | GADGET results |
| Reference manual: | GADGET.pdf |
| Package source: | GADGET_0.2.0.tar.gz |
| Windows binaries: | r-devel: GADGET_0.2.0.zip, r-devel-gcc8: GADGET_0.2.0.zip, r-release: GADGET_0.2.0.zip, r-oldrel: GADGET_0.2.0.zip |
| OS X binaries: | r-release: GADGET_0.2.0.tgz, r-oldrel: GADGET_0.2.0.tgz |
Please use the canonical form https://CRAN.R-project.org/package=GADGET to link to this page.