Hi Britta,
If you look at the underlying Stan code for the model using:
make_stancode(data = data,
formula = x ~ y,
seed = 1,
save_pars = save_pars(all=TRUE))
You’ll see the respective definitions:
parameters {
vector[Kc] b; // population-level effects
real Intercept; // temporary intercept for centered predictors
real<lower=0> sigma; // residual SD
}
...
generated quantities {
// actual population-level intercept
real b_Intercept = Intercept - dot_product(means_X, b);
}
This is referring to the fact that brms
mean-centers the predictors prior to analysis, so the Intercept
parameter is on the mean-centered scale. The b_Intercept
parameter is this mean-centered intercept back-transformed to the original scale of the predictors