| prior_samples.brmsfit {brms} | R Documentation |
Extract prior samples of specified parameters
## S3 method for class 'brmsfit' prior_samples(x, pars = NA, ...) prior_samples(x, pars = NA, ...)
x |
An |
pars |
Names of parameters for which prior samples should be returned, as given by a character vector or regular expressions. By default, all prior samples are extracted |
... |
Currently ignored |
To make use of this function,
the model must contain samples of prior distributions.
This can be ensured by setting sample_prior = TRUE
in function brm.
Currently there are methods for brmsfit objects.
A data frame containing the prior samples.
Paul-Christian Buerkner paul.buerkner@gmail.com
## Not run:
fit <- brm(rating ~ treat + period + carry + (1|subject),
data = inhaler, family = "cumulative",
prior = set_prior("normal(0,2)", class = "b"),
sample_prior = TRUE)
# extract all prior samples
samples1 <- prior_samples(fit)
head(samples1)
# extract prior samples for the population-level effects of 'treat'
samples2 <- prior_samples(fit, "b_treat")
head(samples2)
## End(Not run)