Both polr and multinom are part of the support software for a book. That
book covers your question. Please read it, as you were asked to do.
On Thu, 28 Oct 2004, Schmidt.Matthias (FORST) wrote:
> I am searching for methods to compare regression models with an ordered
> categorical response variable (polr versus multinom).
> The pattern of predictions of both methods (using the same predictor
> variables) is quite different and the AIC is smaller for the multinom
> approach. I guess polr has more strict premises for the structure of the
> response variable, which methods can be used to test for these premises. If
> the AIC is smaller for the multinom approach is this approach more
> appropriate in every case?
> PLEASE do read the posting guide!
http://www.R-project.org/posting-guide.html
`If the function is from a package accompanying a book, e.g., the MASS
package, consult the book before posting.'
--
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