dgpsi: Interface to 'dgpsi' for Deep and Linked Gaussian Process
Emulations
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/>.
| Version: |
2.5.0 |
| 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 |
| Published: |
2024-12-14 |
| DOI: |
10.32614/CRAN.package.dgpsi |
| Author: |
Deyu Ming [aut, cre, cph],
Daniel Williamson [aut] |
| Maintainer: |
Deyu Ming <deyu.ming.16 at ucl.ac.uk> |
| BugReports: |
https://github.com/mingdeyu/dgpsi-R/issues |
| License: |
MIT + file LICENSE |
| URL: |
https://github.com/mingdeyu/dgpsi-R,
https://mingdeyu.github.io/dgpsi-R/ |
| NeedsCompilation: |
no |
| Language: |
en-US |
| Citation: |
dgpsi citation info |
| Materials: |
README NEWS |
| CRAN checks: |
dgpsi results |
Documentation:
Downloads:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=dgpsi
to link to this page.