[R] How to model multiple categorical variable in r, using gee model
@ugu@t|nu@y@ntj@mb@ @end|ng |rom gm@||@com
Tue Sep 22 02:57:40 CEST 2020
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:
> Good luck with it.
> 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
> >> Your gguidelines will be highly appreciated.
> >> My regards,
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