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,
...
)
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.
An object of class brmsfit
.
Should summary statistics be returned
instead of the raw values? Default is TRUE
.
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
.
The percentiles to be computed by the quantile
function. Only used if summary
is TRUE
.
Optional names of coefficients to extract. By default, all coefficients are extracted.
Currently ignored.
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"))
}
Run the code above in your browser using DataLab