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

[Ben Bolker]

MCMCglmm can handle this case

On Tue, Dec 13, 2022, 10:14 PM Timothy MacKenzie <fswfswt using gmail.com> wrote:

> 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
>
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