R: Extract Priors of a Bayesian Model Fitted with 'brms'

prior_summary.brmsfit {brms} | R Documentation

## Extract Priors of a Bayesian Model Fitted with brms

### Description

Extract Priors of a Bayesian Model 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

For `brmsfit` objects, an object of class `brmsprior`.

### Examples

    ## 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)

[Package brms version 2.16.1 Index]