Extract the population-level ('fixed') effects
from a `brmsfit`

object.

```
# S3 method for brmsfit
fixef(
object,
summary = TRUE,
robust = FALSE,
probs = c(0.025, 0.975),
pars = NULL,
...
)
```

## Arguments

- object
An object of class `brmsfit`

.

- summary
Should summary statistics be returned
instead of the raw values? Default is `TRUE`

.

- robust
If `FALSE`

(the default) the mean is used as
the measure of central tendency and the standard deviation as
the measure of variability. If `TRUE`

, the median and the
median absolute deviation (MAD) are applied instead.
Only used if `summary`

is `TRUE`

.

- probs
The percentiles to be computed by the `quantile`

function. Only used if `summary`

is `TRUE`

.

- pars
Optional names of coefficients to extract.
By default, all coefficients are extracted.

- ...
Currently ignored.

## Value

If `summary`

is `TRUE`

, a matrix returned
by `posterior_summary`

for the population-level effects.
If `summary`

is `FALSE`

, a matrix with one row per
posterior draw and one column per population-level effect.

## Examples

```
if (FALSE) {
fit <- brm(time | cens(censored) ~ age + sex + disease,
data = kidney, family = "exponential")
fixef(fit)
# extract only some coefficients
fixef(fit, pars = c("age", "sex"))
}
```