[R-sig-ME] Multivariate mixed models with different outcome distributions

[Timothy MacKenzie]

Hello Colleagues,

I have a multivariate data structure (below) where the dependent
variables (DV) seem to have different distributions.

For instance, *ac* is measured in proportions and perhaps
beta-distributed, but *fl* and *le* may be normally distributed.

Would it make methodological sense to fit such DVs in a multivariate
mixed model given that they are theoretically related but practically
measured on different scales?

Any resources to provide mixed model strategies in such a situation?

Many thanks for your help,
Tim M

Score ~ DV + (1 | subj_id) ## Would this make sense?

# Data structure:
subj_id  DV     Score
1            ac      .5
1            fl        23.1
1            le       1.4
2            ac      .7
2            fl        19.6
2            le       2.1