coef.brmsfit {brms} | 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 |

`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 |

### 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*version 2.21.0 Index]