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 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.

...

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

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)
## extract population and group-level coefficients separately
fixef(fit)
ranef(fit)
## extract combined coefficients 
coef(fit)

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