These functions take an lgpmodel object, and
prior_pred
samples from the prior predictive distribution of
the model
sample_param_prior
samples only its parameter prior using
sampling
prior_pred( model, verbose = TRUE, quiet = FALSE, refresh = 0, STREAM = get_stream(), ... ) sample_param_prior(model, verbose = TRUE, quiet = FALSE, ...)
model | An object of class lgpmodel. |
---|---|
verbose | Should more information and a possible progress bar be printed? |
quiet | This forces |
refresh | Argument for |
STREAM | External pointer. By default obtained with
|
... | Additional arguments for |
prior_pred
returns a list with components
y_draws
: A matrix containing the prior predictive draws
as rows. Can be passed to bayesplot::pp_check()
for
graphical prior predictive checking.
pred_draws
: an object of class Prediction,
containing prior draws of each model component and their sum
param_draws
: a stanfit
object of prior parameter
draws (obtained by calling sample_param_prior
internally)
sample_param_prior
returns
an object of class stanfit
Other main functions:
create_model()
,
draw_pred()
,
get_draws()
,
lgp()
,
pred()
,
sample_model()