Transforms priors information to actual distributions.

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

Arguments

model

A stanreg, stanfit, or brmsfit 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) } }