brms: posterior_interval.brmsfit – R documentation

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posterior_interval.brmsfit

Compute posterior uncertainty intervals

Compute posterior uncertainty intervals for brmsfit objects.

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

`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`.

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

## Not run: 
fit <- brm(count ~ zAge + zBase * Trt,
           data = epilepsy, family = negbinomial())
posterior_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