Package: GaSP
Type: Package
Title: Train and Apply a Gaussian Stochastic Process Model
Version: 1.0.6
Authors@R: c(
    person(given = "William J.",
           family = "Welch",
           role = c("aut", "cre", "cph"),
           email = "will@stat.ubc.ca",
           comment = c(ORCID = "0000-0002-4575-3124")),
    person(given = "Yilin",
           family = "Yang",
           role = c("aut"),
           email = "yangyl17@students.cs.ubc.ca",
           comment = c(ORCID = "0000-0003-0885-6017"))
           )
Description: 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,
        <doi: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",
        <doi:10.1007/0-387-28014-6_14>.
Depends: R (>= 3.5.0)
Suggests: markdown, rmarkdown, knitr, testthat
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.3.1
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2026-07-02 07:14:39 UTC; root
Author: William J. Welch [aut, cre, cph]
        (<https://orcid.org/0000-0002-4575-3124>), Yilin Yang [aut]
        (<https://orcid.org/0000-0003-0885-6017>)
Maintainer: William J. Welch <will@stat.ubc.ca>
Repository: https://wsqlab.r-universe.dev
Date/Publication: 2024-06-28 02:44:01 UTC
RemoteUrl: https://github.com/cran/GaSP
RemoteRef: HEAD
RemoteSha: 38efb7ec4e0ac662fa1d3731d60d92a91c4a7a68