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The current way to do a prior predictive check is to first run lgp() using the options sample_f=TRUE and prior_only=TRUE after which one can use ppc(). This is not any faster than posterior sampling, and it would probably be much faster to just draw from
the hyperparameter priors separately first, and then for each draw use lgp() with sample_f=TRUE, prior_only=TRUE and algorithm="Fixed_param".
The text was updated successfully, but these errors were encountered:
The current way to do a prior predictive check is to first run
lgp()
using the optionssample_f=TRUE
andprior_only=TRUE
after which one can useppc()
. This is not any faster than posterior sampling, and it would probably be much faster to just draw fromthe hyperparameter priors separately first, and then for each draw use
lgp()
withsample_f=TRUE
,prior_only=TRUE
andalgorithm="Fixed_param"
.The text was updated successfully, but these errors were encountered: