Marco Baroni wrote: > Dear R-Langers, > > Does anybody know if R supports multinomial mixed effect regression? > (By "multinomial regression" I mean that the dependent variable is > categorical (not ordinal) and it has more than 2 levels, and the > independent variables are a hodge-podge of binary tests, numerical > variables, etc...) > > [No explicit linguistic link in the question, but this is to analyze > some lexico-semantic data, and I've seen that this list features many > experts on mixed model categorical data analysis.]
Hi Marco, This is a good question, and the answer to the best of my understanding is "not directly, right now." Here's a link to a query (unanswered) of mine on this topic on R-sig-ME, which was a follow-up to a question by Austin Frank: https://stat.ethz.ch/pipermail/r-sig-mixed-models/2007q3/000261.html What *is* possible is to fit a surrogate Poisson mixed-effects regression and to re-interpret the fitted model as a multinomial model. Let me know if it's not obvious what that might mean. (You might also take a look at Agresti 2002, Section 8.5.) As I recall, however, there are some issues I never was able to work out on how to do certain types of model comparisons within this approach. Also, it is supposedly possible to fit Bayesian multinomial mixed-effects regression using WinBUGS (but this is only for Windows :(). Hope this helps. There is clearly a need for this type of model in the analysis of linguistic data... Roger -- Roger Levy Email: [EMAIL PROTECTED] Assistant Professor Phone: 858-534-7219 Department of Linguistics Fax: 858-534-4789 UC San Diego Web: http://ling.ucsd.edu/~rlevy _______________________________________________ R-lang mailing list [email protected] http://pidgin.ucsd.edu/mailman/listinfo/r-lang
