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, [EMAIL PROTECTED] 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 ______________________________________________ [EMAIL PROTECTED] mailing list https://www.stat.math.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
