R: Predictive Intervals

predictive_interval.brmsfit {brms} | R Documentation

## Predictive Intervals

### Description

Compute intervals from the posterior predictive distribution.

### Usage

    ## S3 method for class 'brmsfit'
    predictive_interval(object, prob = 0.9, ...)

### Arguments

`object` | An R object of class `brmsfit`.
`prob` | A number p (0 < p < 1) indicating the desired probability mass to include in the intervals. Defaults to `0.9`.
`...` | Further arguments passed to `posterior_predict`.

### Value

A matrix with 2 columns for the lower and upper bounds of the intervals, respectively, and as many rows as observations being predicted.

### Examples

    ## Not run:
    fit <- brm(count ~ zBase, data = epilepsy, family = poisson())
    predictive_interval(fit)

    ## End(Not run)

[Package brms version 2.16.3 Index]