brms (version 2.19.0)

prior_summary.brmsfit: Extract Priors of a Bayesian Model Fitted with brms

Description

Extract Priors of a Bayesian Model Fitted with brms

Usage

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

Value

For brmsfit objects, an object of class brmsprior.

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.

Examples

if (FALSE) {
fit <- brm(count ~ zAge + zBase * Trt
             + (1|patient) + (1|obs),
           data = epilepsy, family = poisson(),
           prior = c(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)
}