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, ...)

## Arguments

model An object of class lgpmodel. Should more information and a possible progress bar be printed? This forces verbose to be FALSE. If you want to suppress also the output from Stan, give the additional argument refresh=0. Argument for sampling. External pointer. By default obtained with rstan::get_stream(). Additional arguments for sampling.

## Value

• 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()