set_imp: Reset number of imputations for a DGP emulator

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

Reset number of imputations for a DGP emulator

Description

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

Usage

set_imp(object, B = 5)

Arguments

object	an instance of the S3 class dgp.
B	the number of imputations to produce predictions from object. Increase the value to improve imputation uncertainty quantification. Decrease the value to improve speed of prediction. Defaults to 5.

Details

See further examples and tutorials at https://mingdeyu.github.io/dgpsi-R/.

Value

An updated object with the information of B incorporated.

Note

• This function is useful when a DGP emulator has been trained and one wants to make faster predictions by decreasing the number of imputations without rebuilding the emulator.

• The following slots:

  • loo and oos created by validate(); and

  • results created by predict() in object will be removed and not contained in the returned object.

Examples

## Not run: 

# See design() for an example.

## End(Not run)

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