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

[augustinus ntjamba]

Thanks for coming through sir. I will check it out.

On Tue, Sep 22, 2020 at 2:47 AM Jim Lemon <drjimlemon using gmail.com> wrote:

> 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,
>

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