ranef.brmsfit {brms}R Documentation

Extract Group-Level Estimates

Description

Extract the group-level ('random') effects of each level from a brmsfit object.

Usage

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

groups

Optional names of grouping variables for which to extract effects.

...

Currently ignored.

Value

If old is FALSE: A list of arrays (one per grouping factor). If summary is TRUE, names of the first dimension are the factor levels and names of the third dimension are the group-level effects. If summary is FALSE, names of the second dimension are the factor levels and names of the third dimension are the group-level effects.

Author(s)

Paul-Christian Buerkner paul.buerkner@gmail.com

Examples

## Not run: 
fit <- brm(count ~ log_Age_c + log_Base4_c * Trt_c + (1+Trt_c|visit), 
           data = epilepsy, family = gaussian(), chains = 2)
ranef(fit)

## End(Not run)
[Package brms version 2.6.0 Index]