Package: dgpsi
Type: Package
Title: Interface to 'dgpsi' for Deep and Linked Gaussian Process
        Emulations
Version: 2.6.0
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 deep Gaussian process emulations of computer models and networks using stochastic imputation (SI). 
             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) <doi:10.48550/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, clhs, dplyr,
        uuid, tidyr, rlang, lifecycle, magrittr, visNetwork, parallel,
        kableExtra
Suggests: knitr, rmarkdown, MASS, R.utils, spelling
VignetteBuilder: knitr
RoxygenNote: 7.3.3
Language: en-US
NeedsCompilation: no
Packaged: 2025-10-15 21:05:44 UTC; deyu
Author: Deyu Ming [aut, cre, cph],
  Daniel Williamson [aut]
Repository: CRAN
Date/Publication: 2025-10-15 21:20:02 UTC
Built: R 4.6.0; ; 2026-02-24 04:35:19 UTC; windows
