In the `summary()`

table of a `brms`

model, are all Estimates directly relative to the Intercept (reference levels) or do we need to add higher-order effects (i.e., interactions) to their base? I believe it’s the former, but I’m curious to check that.

For example, there is a simple model with two factors, two levels each: F1 (A, B) and F2(I, K). The summary table could look like this (and I’ve added the full specification of the respective level combinations):

Effects | Full Specs | Estimate | Est.Error |
---|---|---|---|

Intercept | [F1(A), F2(I)] | 0.00 | 0.10 |

F1(B) | [F1(B), F2(I)] | 0.40 | 0.26 |

F2(K) | [F1(A), F2(K)] | 0.19 | 0.06 |

F1(B):F2(K) | [F1(B), F2(K)] | 0.22 | 0.20 |

One does not need to add 0.22 and 0.40 for the F1(B):F2(K) combination? That would not make sense to me.

Thanks