continue {dgpsi} | R Documentation |
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 |
N |
additional number of iterations for the DGP emulator training. Defaults to |
ess_burn |
number of burnin steps for the ESS-within-Gibbs
at each I-step of the training. Defaults to |
verb |
a bool indicating if the progress bar will be printed during the training:
Defaults to |
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 |
B |
the number of imputations to produce the predictions. Increase the value to account for
more imputation uncertainties. This overrides the value of |
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)