Population-averaged estimates in brms logistic mixed model

Hello brms users,

I would like to obtain a marginal interpretation of the coefficients from a mixed effects logistic model fitted using brms. Example of the model I would run in brms is:

mod <- brm(y ~ x+ (1 | ID), 
       data = df, family = binomial)

y is a binary response variable and x is a binary independent variable. ID denotes the cluster.
I would like to obtain population-averaged estimates as you would in GEE. Kindly assist.

Thank you!

  • Operating System: Windows
  • brms Version: 2.16.1