[R] How to model multiple categorical variable in r, using gee model

[Jim Lemon]

Hi Augustinius,
You are probably familiar with some of these:

http://finzi.psych.upenn.edu/R/library/geepack/html/geeglm.html
https://faculty.washington.edu/heagerty/Courses/b571/homework/geepack-paper.pdf
https://rdrr.io/cran/geex/f/vignettes/articles/mestimation_bib.Rmd

Good luck with it.

Jim

On Tue, Sep 22, 2020 at 9:52 AM augustinus ntjamba
<augustinusyantjamba using gmail.com> wrote:
>
> even a source perhaps that you may refer me too, so I get some idea's tht will be appreciated as well.
>
> On Tue, 22 Sep 2020, 01:50 augustinus ntjamba <augustinusyantjamba using gmail.com> wrote:
>>
>> Thank you for the feedback.
>> actually its not a "home work", it's a "project" that I'm working on and I'm challenged as which function in generalized estimating equations to use, i try using geeglm ,multgee, multinom to model the data, however; I'm unable to determine as which working correction matrix will better fit the model (model selection ) for the fact that all the model with different correlation structure keeps returning the same outputs (I do not observe an difference) hence my concern as it supposed not be the case.
>>
>> This is one of the reason I'm asking for help, like how do I go about it?
>> Your gguidelines will be highly appreciated.
>> My regards,