dgpsi-package {dgpsi} | R Documentation |
dgpsi: Interface to 'dgpsi' for Deep and Linked Gaussian Process Emulations
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/.
Author(s)
Maintainer: Deyu Ming deyu.ming.16@ucl.ac.uk [copyright holder]
Authors:
Daniel Williamson d.williamson@exeter.ac.uk
See Also
Useful links:
Report bugs at https://github.com/mingdeyu/dgpsi-R/issues
[Package dgpsi version 2.5.0 Index]