dgpsi

dgpsi-package

<img src="figures/logo.png?package=dgpsi&version=2.5.0" style="float: right" alt="logo" width="120">
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 &amp; Guillas (2021) tools:::Rd_expr_doi("10.1137/20M1323771") and Ming, Williamson, &amp; Guillas (2023) tools:::Rd_expr_doi("10.1080/00401706.2022.2124311") and Ming &amp; Williamson (2023) tools:::Rd_expr_doi("10.48550/arXiv.2306.01212"). To get started with the package, see <a href="https://mingdeyu.github.io/dgpsi-R/">https://mingdeyu.github.io/dgpsi-R/</a>.

internal

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/>.

Deyu Ming

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

Daniel Williamson

dgpsi-package function

Maintainer: Deyu Ming <a href="/link/deyu.ming.16%40ucl.ac.uk?package=dgpsi&version=2.5.0" data-mini-rdoc="dgpsi::deyu.ming.16@ucl.ac.uk">deyu.ming.16@ucl.ac.uk</a> [copyright holder]
Authors:<ul>
<li>Daniel Williamson <a href="/link/d.williamson%40exeter.ac.uk?package=dgpsi&version=2.5.0" data-mini-rdoc="dgpsi::d.williamson@exeter.ac.uk">d.williamson@exeter.ac.uk</a></li>
</ul>

Author

<img src='figures/logo.png' style='float: right' alt='logo' width='120' />
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 &amp; Guillas (2021) tools:::Rd_expr_doi("10.1137/20M1323771") and Ming, Williamson, &amp; Guillas (2023) tools:::Rd_expr_doi("10.1080/00401706.2022.2124311") and Ming &amp; Williamson (2023) tools:::Rd_expr_doi("10.48550/arXiv.2306.01212"). To get started with the package, see <a href='https://mingdeyu.github.io/dgpsi-R/'>https://mingdeyu.github.io/dgpsi-R/</a>.

dgpsi: Interface to 'dgpsi' for Deep and Linked Gaussian Process Emulations — dgpsi-package

Maintainer: Deyu Ming <a href='mailto:deyu.ming.16@ucl.ac.uk'>deyu.ming.16@ucl.ac.uk</a> [copyright holder]
Authors:<ul>
<li>Daniel Williamson <a href='mailto:d.williamson@exeter.ac.uk'>d.williamson@exeter.ac.uk</a></li>
</ul>

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

Description

Arguments

Author

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