continue {dgpsi}R Documentation

Continue the training of a DGP emulator

Description

This function implements additional training iterations for a DGP emulator.

Usage

continue(object, N = 500, ess_burn = 10, verb = TRUE, burnin = NULL, B = 50)

Arguments

object

an instance of the dgp class.

N

additional number of iterations for the DGP emulator training. Defaults to 500.

ess_burn

number of burnin steps for the ESS-within-Gibbs at each I-step of the training. Defaults to 10.

verb

a bool indicating if the progress bar will be printed during the training:

  1. FALSE: the training progress bar will not be displayed.

  2. TRUE: the training progress bar will be displayed.

Defaults to TRUE.

burnin

the number of training iterations to be discarded for point estimates calculation. Must be smaller than the overall training iterations so-far implemented. If this is not specified, only the last 25% of iterations are used. This overrides the value of burnin set in dgp(). Defaults to NULL.

B

the number of imputations to produce the predictions. Increase the value to account for more imputation uncertainties. This overrides the value of B set in dgp(). Defaults to 50.

Details

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

Value

An updated object.

Note

One can also use this function to fit an untrained DGP emulator constructed by dgp() with training = FALSE.

Examples

## Not run: 

# See dgp() for an example.

## End(Not run)

[Package dgpsi version 2.1.5 Index]