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

Package details

AuthorIsaac Michaud [aut, cre], Brian Weaver [aut], Brian Williams [aut]
MaintainerIsaac Michaud <imichaud@lanl.gov>
LicenseBSD_3_clause + file LICENSE
Version0.2.0
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("GADGET")

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GADGET documentation built on Jan. 25, 2020, 1:06 a.m.