R: Extract Population-Level Estimates

fixef.brmsfit {brms} | R Documentation

## Extract Population-Level Estimates

### Description

Extract the population-level ('fixed') effects from a `brmsfit` object.

### Usage

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

### 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`.
`pars` | Optional names of coefficients to extract. By default, all coefficients are extracted.
`...` | Currently ignored.

### Value

If `summary` is `TRUE`, a matrix returned by `posterior_summary` for the population-level effects. If `summary` is `FALSE`, a matrix with one row per posterior draw and one column per population-level effect.

### Examples

    ## 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"))

    ## End(Not run)

[Package brms version 2.17.0 Index]