Returns Priors of a Model as Empirical Distributions — simulate_prior • bayestestR

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)
}
}