Extract Model Coefficients
Extract model coefficients, which are the sum of population-level effects and corresponding group-level effects
## S3 method for class 'brmsfit' coef(object, summary = TRUE, robust = FALSE, probs = c(0.025, 0.975), ...)
object |
An object of class |
summary |
Should summary statistics be returned
instead of the raw values? Default is |
robust |
If |
probs |
The percentiles to be computed by the |
... |
Further arguments passed to |
A list of 3D arrays (one per grouping factor).
If summary is TRUE,
the 1st dimension contains the factor levels,
the 2nd dimension contains the summary statistics
(see posterior_summary), and
the 3rd dimension contains the group-level effects.
If summary is FALSE, the 1st dimension contains
the posterior draws, the 2nd dimension contains the factor levels,
and the 3rd dimension contains the group-level effects.
## Not run:
fit <- brm(count ~ zAge + zBase * Trt + (1+Trt|visit),
data = epilepsy, family = gaussian(), chains = 2)
## extract population and group-level coefficients separately
fixef(fit)
ranef(fit)
## extract combined coefficients
coef(fit)
## End(Not run)Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.