[Question] Random intercept model about mmrm HOT 6 CLOSED

Hi,
So the random intercept induced covariance structure is a special case of the compound symmetric covariance structure (i.e. if you have positive correlation between the observations of a subject). So you can use cs() in the model formula.
Does this answer your question?

from mmrm.

Thanks for your response. I tried the compound symmetric covariance structure, but I got the same error message.

Error in h_mmrm_tmb_data(formula_parts, data, weights, reml, singular = if (control$accept_singular) "drop" else "error", :

Assertion on 'names(data)' failed: Names must include the elements {'1','id'}, but is missing elements {'1'}.

from mmrm.

Yeah please check out the documentation, you need the visit and subject variables inside the covariance specification

from mmrm.

I see this pattern throughout the examples, but I am a little confused. Being familiar with the syntax in lme4, I think adding a variable before the vertical bar in the random effect means adding a random slope of that variable. Does mmrm use a different syntax? For example, cs(visit|id) does not imply a random slope of visit.

from mmrm.

Yes, it is a different syntax than lme4. Our syntax is close to glmmTMB e.g.

from mmrm.

Got it. Thanks!

from mmrm.