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, ...)An object of class brmsfit.
Should summary statistics
(i.e. means, sds, and 95% intervals) 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 summary is TRUE, a matrix with one row per
population-level effect and one column per calculated estimate.
If summary is FALSE, a matrix with one row per
posterior sample and one column per population-level effect.
# NOT RUN {
fit <- brm(time | cens(censored) ~ age + sex + disease,
data = kidney, family = "exponential")
fixef(fit)
# extract only some coefficients
fixef(fit, pars = c("age", "sex"))
# }
# NOT RUN {
# }
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