prior_summary.brmsfit: Priors of 'brms' models

In paul-buerkner/brms: Bayesian Regression Models using 'Stan'

Priors of brms models

Description

Extract priors of models fitted with brms.

Usage

## S3 method for class '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

## Not run: 
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)

## End(Not run)

paul-buerkner/brms documentation built on April 14, 2024, 5:39 p.m.