brms: predictive_interval.brmsfit – R documentation

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predictive_interval.brmsfit

Predictive Intervals

Compute intervals from the posterior predictive distribution.

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

`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`.

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

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

## End(Not run)

Bayesian Regression Models using 'Stan'

v2.15.0

GPL-2

Authors

Paul-Christian Bürkner [aut, cre], Jonah Gabry [ctb], Sebastian Weber [ctb], Andrew Johnson [ctb], Martin Modrak [ctb]

Initial release

2021-03-10