View source: R/brmsfit-methods.R
coef.brmsfit | R Documentation |
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)
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