Package: dgpsi
Type: Package
Title: Interface to 'dgpsi' for Deep and Linked Gaussian Process
        Emulations
Version: 2.2.0
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 (2023) <doi:10.1080/00401706.2022.2124311> and 
             Ming & Williamson (2023) <arXiv:2306.01212>. 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: 2023-06-05 11:40:34 UTC; deyu
Author: Deyu Ming [aut, cre, cph],
  Daniel Williamson [aut]
Repository: CRAN
Date/Publication: 2023-06-05 12:00:02 UTC
Built: R 4.2.0; ; 2023-06-06 11:55:01 UTC; unix
