R: Continue the training of a DGP emulator

continue {dgpsi}

R Documentation

Continue the training of a DGP emulator

This function implements additional training iterations for a DGP emulator.

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

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

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

An updated object.

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

## Not run: 

# See dgp() for an example.

## End(Not run)

[Package dgpsi version 2.1.5 Index]