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Transforms priors information to actual distributions.

Usage

simulate_prior(model, n = 1000, ...)

Arguments

model

A stanreg, stanfit, brmsfit, blavaan, or MCMCglmm object.

n

Size of the simulated prior distributions.

...

Currently not used.

See also

unupdate() for directly sampling from the prior distribution (useful for complex priors and designs).

Examples

if (FALSE) {
library(bayestestR)
if (require("rstanarm")) {
  model <- stan_glm(mpg ~ wt + am, data = mtcars, chains = 1, refresh = 0)
  simulate_prior(model)
}
}