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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "GaSP" in publications use:'
type: software
license: GPL-3.0-only
title: 'GaSP: Train and Apply a Gaussian Stochastic Process Model'
version: 1.0.6
doi: 10.32614/CRAN.package.GaSP
abstract: Train a Gaussian stochastic process model of an unknown function, possibly
  observed with error, via maximum likelihood or maximum a posteriori (MAP) estimation,
  run model diagnostics, and make predictions, following Sacks, J., Welch, W.J., Mitchell,
  T.J., and Wynn, H.P. (1989) "Design and Analysis of Computer Experiments", Statistical
  Science, <https://doi.org/10.1214/ss/1177012413>. Perform sensitivity analysis and
  visualize low-order effects, following Schonlau, M. and Welch, W.J. (2006), "Screening
  the Input Variables to a Computer Model Via Analysis of Variance and Visualization",
  <https://doi.org/10.1007/0-387-28014-6_14>.
authors:
- family-names: Welch
  given-names: William J.
  email: will@stat.ubc.ca
  orcid: https://orcid.org/0000-0002-4575-3124
- family-names: Yang
  given-names: Yilin
  email: yangyl17@students.cs.ubc.ca
  orcid: https://orcid.org/0000-0003-0885-6017
repository: https://CRAN.R-project.org/package=GaSP
date-released: '2024-06-27'
contact:
- family-names: Welch
  given-names: William J.
  email: will@stat.ubc.ca
  orcid: https://orcid.org/0000-0002-4575-3124