R help - Jun 2008 - (baseline) logistic regression + gof functions?

?
        Hallo,
        
        which function can i use to do (baseline) logistic regression +
        goodness
        of fit tests?
        
        so far i found:
        
        # logistic on binary data
        lrm combined with resid(model,'gof')
        
        # logistic on binary data
        glm with no gof-test
        
        # baseline logit on binary data
        multinom with no gof-test
        
        (# also, what if the data are not binary and more than one
        predictor in
        the model?)
        
        Hints? Suggestions? Other functions that might help?
        
        mvg,
        Wim

Hi,

I'm not sure why you think glm doesn't provide goodness of fit tests.
Have a look at anova.glm and summary.glm.  All the functions you
mention can deal with multiple predictors.  multinom deals with
non-binary data.  lrm will deal with ordinal data as well as binary.
polr (in the MASS package) will also do ordinal logistic regression.

David

On Thu, Jun 5, 2008 at 10:33 PM, Wim Bertels <wim.bertels at khleuven.be>
wrote:
>
>        Hallo,
>
>        which function can i use to do (baseline) logistic regression +
>        goodness
>        of fit tests?
>
>        so far i found:
>
>        # logistic on binary data
>        lrm combined with resid(model,'gof')
>
>        # logistic on binary data
>        glm with no gof-test
>
>        # baseline logit on binary data
>        multinom with no gof-test
>
>        (# also, what if the data are not binary and more than one
>        predictor in
>        the model?)
>
>        Hints? Suggestions? Other functions that might help?
>
>        mvg,
>        Wim
>
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