dgpsi-package: dgpsi: Interface to 'dgpsi' for Deep and Linked Gaussian...

In dgpsi: Interface to 'dgpsi' for Deep and Linked Gaussian Process Emulations

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) \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1137/20M1323771")} and Ming, Williamson, & Guillas (2023) \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1080/00401706.2022.2124311")} and Ming & Williamson (2023) \Sexpr[results=rd]{tools:::Rd_expr_doi("10.48550/arXiv.2306.01212")}. To get started with the package, see https://mingdeyu.github.io/dgpsi-R/.

Author(s)

Maintainer: Deyu Ming [e-mail] [copyright holder]

Authors:

• Daniel Williamson [e-mail]

See Also

Useful links:

• https://github.com/mingdeyu/dgpsi-R

• https://mingdeyu.github.io/dgpsi-R/

• Report bugs at https://github.com/mingdeyu/dgpsi-R/issues

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