Extract prior draws of specified parameters

```
# S3 method for brmsfit
prior_draws(x, variable = NULL, pars = NULL, ...)
prior_draws(x, ...)
prior_samples(x, ...)
```

- x
An

`R`

object typically of class`brmsfit`

.- variable
A character vector providing the variables to extract. By default, all variables are extracted.

- pars
Deprecated alias of

`variable`

. For reasons of backwards compatibility,`pars`

is interpreted as a vector of regular expressions by default unless`fixed = TRUE`

is specified.- ...
Arguments passed to individual methods (if applicable).

A `data.frame`

containing the prior draws.

To make use of this function, the model must contain draws of
prior distributions. This can be ensured by setting ```
sample_prior =
TRUE
```

in function `brm`

. Priors of certain parameters cannot be saved
for technical reasons. For instance, this is the case for the
population-level intercept, which is only computed after fitting the model
by default. If you want to treat the intercept as part of all the other
regression coefficients, so that sampling from its prior becomes possible,
use `... ~ 0 + Intercept + ...`

in the formulas.

```
if (FALSE) {
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 draws
draws1 <- prior_draws(fit)
head(draws1)
# extract prior draws for the coefficient of 'treat'
draws2 <- prior_draws(fit, "b_treat")
head(draws2)
}
```