This is probably an easy-to-answer question. I am analyzing a 3-way categorical outcome (baseline: “Absolute” vs. “Relative” and “Other”):

```
brm(Response3way ~ 1 + Context + (1 | ObjectType), family = categorical(link=logit), ...)
```

Yielding the following output:

```
Group-Level Effects:
...
Population-Level Effects:
Estimate Est.Error l-95% CI u-95% CI Eff.Sample Rhat
muRelative_Intercept -0.41 1.68 -4.10 3.52 5826 1.00
muOther_Intercept -0.87 1.99 -5.14 3.71 6647 1.00
muRelative_ContextWith 0.75 0.23 0.31 1.20 14885 1.00
muOther_ContextWith 1.27 0.30 0.73 1.88 15075 1.00
```

I understand that the estimates for the two Context parameters describe the effect of Context (sum-coded) on the respective *relative* odds of a) a “Relative” response compared to an “Absolute” response and b) an “Other” response compared to an “Absolute” response. Is there any way, e.g., through a hypothesis() query to ask whether Context has an effect on, for instance, the log-odds of a “Relative” responses, compared to both “Other” *and* “Absolute” responses? (I know I could run a separate logistic regression to address this question, but I’m wondering whether one can also obtain the answer to such questions from the model described above.)