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

Description Usage Arguments Value Examples

View source: R/summary.R

Description

Extract Priors of a Bayesian Model Fitted with brms

Usage

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## 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

For brmsfit objects, an object of class brmsprior.

Examples

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## Not run: 
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)

## End(Not run)

brms documentation built on Aug. 23, 2021, 5:08 p.m.