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GADGET: Gaussian Process Approximations for Designing Experiments
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.
Getting started
Browse package contents
Package details |
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| Author | Isaac Michaud [aut, cre], Brian Weaver [aut], Brian Williams [aut] |
| Maintainer | Isaac Michaud <imichaud@lanl.gov> |
| License | BSD_3_clause + file LICENSE |
| Version | 0.2.0 |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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