View source: R/main-prior_pred.R
prior_pred | R Documentation |
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()
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