[R-sig-ME] Time-varying vs. time-invariant covariates in longitudinal multivariate mixed-models

[Stuart Luppescu]

On Tue, 2012-04-17 at 12:45 +0200, Eiko Fried wrote:
> (2) Where can I find information about how to treat (highly skewed)
> ordinal outcome variables in LME4? My outcome variables are ordinal,
> with the values of
> * 0 (not in the last weeks),
> * 1 (2 days within the last week),
> * 2 (4 days in the last week),
> * 3 (nearly on all days in the last week), 

I don't think you can do this in lme4. I have a similar problem for
which I use MCMCglmm, which works quite well. The author of the package,
Jarrod Hadfield, has written voluminous documentation that is very
helpful. Get the MCMCglmm_Overview.pdf and MCMCglmm_CourseNotes.pdf. If
you still have problems, Jarrod is very generous with his time to help
people on this list.
-- 
Stuart Luppescu -=- slu .at. ccsr.uchicago.edu        
University of Chicago -=- CCSR 
才文と智奈美の父 -=-    Kernel 3.2.1-gentoo-r2                
I recently attended a Ph.D. prelim exam where the
 candidate had proposed research on various ways of
 defining an R^2 statistic in the original data
 scale from a linear model fit to data in a
 transformed scale determined by the Box-Cox
 method. There were seven different possible
 definitions for R^2, all of which, as acknowledged
 by the candidate and by the thesis advisor, were
 incorrect. The purpose of this path-breaking study