Can anyone suggest what I might do to analyze data where:
- response has more than two values (nominal)
- observations are grouped by subject
- predictors are both categorical and continuous
- some predictors are within-subject, some are between-subject
If it wasn't for the within-subject predictors, I thought this was
going to be a compositional data analysis problem, so I was looking
into the "compositions" library (which I found confusing).
However, treating each subject's data as a single composition, while
it makes sense, is not going to enable the analysis of within-subject
predictors.
Is there a way to use lme4 or another library to extend GLMM to a
multi-category response?
Sorry for the generic question,
Thanks,
Daniel