R: Compute posterior uncertainty intervals

posterior_interval.brmsfit {brms} | R Documentation

## Compute posterior uncertainty intervals

### Description

Compute posterior uncertainty intervals for `brmsfit` objects.

### Usage

    ## S3 method for class 'brmsfit'
    posterior_interval(object, pars = NA, prob = 0.95,
      ...)

### Arguments

`object` | An object of class `brmsfit`
`pars` | Names of parameters for which posterior samples should be returned, as given by a character vector or regular expressions. By default, all posterior samples of all parameters are extracted.
`prob` | A value between 0 and 1 indicating the desired probability to be covered by the uncertainty intervals. The default is 0.95.
`...` | More arguments passed to `as.matrix.brmsfit`.

### Value

A `matrix` with lower and upper interval bounds as columns and as many rows as selected parameters.

### Examples

    ## Not run:
    fit <- brm(count ~ log_Age_c + log_Base4_c * Trt_c,
               data = epilepsy, family = negbinomial())
    posterior_interval(fit)

    ## End(Not run)

[Package brms version 2.6.0 Index]