Package: GADGET
Title: Gaussian Process Approximations for Designing Experiments
Version: 0.2.0
Authors@R: 
    c(person(given = "Isaac",
             family = "Michaud",
             role = c("aut", "cre"),
             email = "imichaud@lanl.gov"),
      person(given = "Brian",
             family = "Weaver",
             role = "aut"),
      person(given = "Brian",
             family = "Williams",
             role = "aut"))
Description: 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.
License: BSD_3_clause + file LICENSE
Copyright: see file COPYRIGHTS
LazyData: TRUE
Encoding: UTF-8
RoxygenNote: 7.0.2
Imports: DiceKriging, DiceOptim, lhs, pbapply, utils, graphics, stats
Suggests: testthat, parallel
NeedsCompilation: no
Maintainer: Isaac Michaud <imichaud@lanl.gov>
BugReports: https://github.com/isaacmichaud/GADGET/issues
Packaged: 2020-01-16 18:50:39 UTC; isaacmichaud
Author: Isaac Michaud [aut, cre],
  Brian Weaver [aut],
  Brian Williams [aut]
Repository: CRAN
Date/Publication: 2020-01-24 17:30:11 UTC
