How can we extract the individual random slopes from a MixedModel.jl fit?

[DarioSarra]

This question is probably due to my lack of technical language understanding.
I have a model m = A ~ 1 + B + (1+B|S). I want the individual slopes of each S in respect of B. From the doc I read that ranef returns the conditional modes of the random effects given the observed data. An online definition that I found explains that these are the differences between the (population-level) average predicted response for a given set of fixed-effect values (treatment) and the response predicted for particular individuals.

So my understanding is that the coefficient of each S in respect of B can be calculated as the fixed effect of B .+ conditional modes. I implemented this in the following way:
DataFrame(only(raneftables(m))).B .+ m.β[2]

Is this conceptually and/or programmatically correct?

[palday]

Conceptually correct, definitely. I think the code is also correct, but I only looked at it very briefly.