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/>.

Package details

AuthorDeyu Ming [aut, cre, cph], Daniel Williamson [aut]
MaintainerDeyu Ming <deyu.ming.16@ucl.ac.uk>
LicenseMIT + file LICENSE
Version2.5.0
URL https://github.com/mingdeyu/dgpsi-R https://mingdeyu.github.io/dgpsi-R/
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("dgpsi")

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dgpsi documentation built on April 3, 2025, 9:26 p.m.