R help - May 2004 - scores from multinomial logistic regression

Dear all,
 
I'm interested in extracting the score from multinomial logistic regression
models fit using multinom, to assess the stregth of assocation of the
parameter with the response (akin to the score from clogit/cox regression).
currently I'm using R 1.8.1.
Is there a function that will extract the score from a multinom object or
how i can get back to it? or from using glm?
I investigated the documention for Design but those functions seem to apply
to binary logistic.
 
Apologies if I am missing something,
Many thanks in advance,
 
Jacqui Hall

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What do you mean by the scores?

What multinom does is to fit probabilities (which you can extract by 
fitted()): the response is a discrete probability distribution.
There is an underlying linear predictor but

(a) it is K-dimensional and
(b) there is a degree of ambiguity, usually resolved by setting the 
predictor for one category to zero (but not in this code).

That linear predictor is only generated in the underlying C code.

On Fri, 7 May 2004, Jacqueline Hall wrote:
> Dear all,
>  
> I'm interested in extracting the score from multinomial logistic
regression
> models fit using multinom, to assess the stregth of assocation of the
> parameter with the response (akin to the score from clogit/cox regression).
> currently I'm using R 1.8.1.
> Is there a function that will extract the score from a multinom object or
> how i can get back to it? or from using glm?
> I investigated the documention for Design but those functions seem to apply
> to binary logistic.
-- 
Brian D. Ripley,                  ripley at stats.ox.ac.uk
Professor of Applied Statistics,  http://www.stats.ox.ac.uk/~ripley/
University of Oxford,             Tel:  +44 1865 272861 (self)
1 South Parks Road,                     +44 1865 272866 (PA)
Oxford OX1 3TG, UK                Fax:  +44 1865 272595