# coef.brmsfit: Extract Model Coefficients In brms: Bayesian Regression Models using 'Stan'

 coef.brmsfit R Documentation

## Extract Model Coefficients

### Description

Extract model coefficients, which are the sum of population-level effects and corresponding group-level effects

### Usage

``````## S3 method for class 'brmsfit'
coef(object, summary = TRUE, robust = FALSE, probs = c(0.025, 0.975), ...)
``````

### 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`. `...` Further arguments passed to `fixef.brmsfit` and `ranef.brmsfit`.

### Value

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.

### Examples

``````## 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)

``````

brms documentation built on Sept. 26, 2023, 1:08 a.m.