[R] Multinomial and Ordinal Logistic Regression - Probability calculation

[olivier.abz]

I would add that I followed explanations from the following URL (UCLA):

http://www.ats.ucla.edu/stat/r/dae/mlogit.htm

I still don't know how the probabilities are generated from the coefficients
and intercepts...
Anybody ?

Thanks.



OLIVIER REGNIER-COUDERT (0509785) wrote:
> 
>  Dear all,
> 
> I am new to R and would like to run a multinomial logistic regression on
> my dataset (3 predictors for 1 dependent variables)
> 
> I have used the vglm function from the VGAM package and got some results.
> Using the predict() function, I obtained the probability table I was
> looking for. However, I would like to fully understand how the predict()
> function generates the probabilities or in other terms, what is the
> equation that gives a probability from the intercept and the coefficients
> from the regression.
> 
> I also ran an ordinal logistic regression using the lrm() functions from
> the Design package and reached the same result without being able to
> explain the probability calculation process.
> 
> Would anyone be able to help?
> 
> Thanks,
> 
> Olivier
> 
> 	[[alternative HTML version deleted]]
> 
> ______________________________________________
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> 
> 

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