Package: dgpsi
Type: Package
Title: Interface to 'dgpsi' for Deep and Linked Gaussian Process
        Emulations
Version: 2.1.6
Authors@R: c(
  person('Deyu', 'Ming', role = c('aut', 'cre', 'cph'),
         email = 'deyu.ming.16@ucl.ac.uk'),
  person('Daniel', 'Williamson', role = c('aut'),
         email = 'd.williamson@exeter.ac.uk')
  )
Maintainer: Deyu Ming <deyu.ming.16@ucl.ac.uk>
Description: Interface to the 'python' package 'dgpsi' for Gaussian process, deep Gaussian process, 
             and linked Gaussian process emulations of computer models and systems of computer
             models. The implementations follow Ming & Guillas (2021) <doi:10.1137/20M1323771> and 
             Ming, Williamson, & Guillas (2022) <doi:10.1080/00401706.2022.2124311>. To get started with the package, 
             see <https://mingdeyu.github.io/dgpsi-R/>.
License: MIT + file LICENSE
URL: https://github.com/mingdeyu/dgpsi-R,
        https://mingdeyu.github.io/dgpsi-R/
BugReports: https://github.com/mingdeyu/dgpsi-R/issues
Encoding: UTF-8
Depends: R (>= 4.0)
Imports: reticulate (>= 1.26), benchmarkme (>= 1.0.8), utils, ggplot2,
        ggforce, reshape2, patchwork, lhs, methods, stats, bitops
Suggests: knitr, rmarkdown, MASS, R.utils, spelling
VignetteBuilder: knitr
RoxygenNote: 7.2.1
Language: en-US
NeedsCompilation: no
Packaged: 2023-02-08 14:35:22 UTC; deyu
Author: Deyu Ming [aut, cre, cph],
  Daniel Williamson [aut]
Repository: CRAN
Date/Publication: 2023-02-08 14:50:02 UTC
Built: R 4.1.3; ; 2023-04-17 19:30:35 UTC; windows
