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 (i.e. means, sds, and 95% intervals) 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 with one row per population-level effect and one column per calculated estimate. If summary is FALSE, a matrix with one row per posterior sample and one column per population-level effect.

Author(s)

Paul-Christian Buerkner paul.buerkner@gmail.com

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 2.6.0 Index]