Extract priors of models fitted with brms.
# S3 method for brmsfit
prior_summary(object, all = TRUE, ...)
An object of class brmsfit
.
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.
An brmsprior
object.
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)
}