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)
}