Extract priors of models fitted with brms.

# S3 method for brmsfit
prior_summary(object, all = TRUE, ...)

Arguments

object

An object of class brmsfit.

all

Logical; Show all parameters in the model which may have priors (TRUE) or only those with proper priors (FALSE)?

...

Further arguments passed to or from other methods.

Value

An brmsprior object.

Examples

if (FALSE) {
fit <- brm(
  count ~ zAge + zBase * Trt + (1|patient) + (1|obs),
  data = epilepsy, family = poisson(),
  prior = prior(student_t(5,0,10), class = b) +
    prior(cauchy(0,2), class = sd)
)

prior_summary(fit)
prior_summary(fit, all = FALSE)
print(prior_summary(fit, all = FALSE), show_df = FALSE)
}