[R-sig-ME] polychotomous response data

Daniel Ezra Johnson danielezrajohnson at gmail.com
Thu Oct 2 18:06:57 CEST 2008

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

Is there a way to use lme4 or another library to extend GLMM to a
multi-category response?

Sorry for the generic question,

More information about the R-sig-mixed-models mailing list