predictive_interval.brmsfit: Predictive Intervals

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

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)

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