I’m fitting a mixed effects logistic regression with an interaction term:

```
my_model <- brm(correct ~ confidence*condition + (confidence*condition|subject),
data = my.data.frame,
family = 'bernoulli')
```

and I would like to see how random slopes for the interaction terms “confidence*condition”, for each “condition” level correlate between each other. “condition” factor has three levels, and in the model output I can only get:

cor(confidence:condition1,confidence:condition2)

Is there a way to get it for all three correlations?

I was also trying to extract individual random slope estimates (and then run the correlation analysis myself), using

```
ranef(my_model)
```

… but this also only yields estimates for “confidence:condition1” and “confidence:condition2”.

As I understand, it’s because it is relative to the third level, but here I’m interested in the absolute values for each level of “condition”.

I hope my question makes sense and I’m not asking something super trivial. Apologies if I’m missing something obvious (I’m quite new to the whole mixed-effects modeling world).

- Operating System: MacOS
- brms Version: 2.13.0