set_imp

This function resets the number of imputations for predictions from a DGP emulator.

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) <arXiv:2306.01212>. To get started with the package,
see <https://mingdeyu.github.io/dgpsi-R/>.

Deyu Ming

dgpsi

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

Daniel Williamson

set_imp function

<dl><dt>object</dt>
<dd>an instance of the S3 class <code>dgp</code>.</dd>
<dt>B</dt>
<dd>the number of imputations to produce predictions from <code>object</code>. Increase the value to account for
more imputation uncertainties with slower predictions. Decrease the value for lower imputation uncertainties
but faster predictions. Defaults to <code>5</code>.</dd></dl>

Arguments

Reset number of imputations for a DGP emulator — set_imp

<dl>

<dt>object</dt>
<dd>an instance of the S3 class <code>dgp</code>.</dd>


<dt>B</dt>
<dd>the number of imputations to produce predictions from <code>object</code>. Increase the value to account for
more imputation uncertainties with slower predictions. Decrease the value for lower imputation uncertainties
but faster predictions. Defaults to <code>5</code>.</dd>

</dl>

set_imp: Reset number of imputations for a DGP emulator

Description

Usage

Value

Arguments

Details

Examples