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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/>.
Package details |
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Author | Deyu Ming [aut, cre, cph], Daniel Williamson [aut] |
Maintainer | Deyu Ming <deyu.ming.16@ucl.ac.uk> |
License | MIT + file LICENSE |
Version | 2.5.0 |
URL | https://github.com/mingdeyu/dgpsi-R https://mingdeyu.github.io/dgpsi-R/ |
Package repository | View on CRAN |
Installation |
Install the latest version of this package by entering the following in R:
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