Thanks, I had a look at mlogit. It seems it does fit a multinomial logit regression but - just as nnet or VGAM are doing it - it has a function that tells you the fitted value, not the value that you have with a set of parameters (which might not be the optimal ones). Or am I wrong on this?
Ronggui Huang wrote: > > You may refer to mlogit for the ordinary multinomial regression. As > fas as I know, there are no functions for multilevel multinomial > regression. > > Ronggui > -- View this message in context: http://www.nabble.com/Likelihood-Function-for-Multinomial-Logistic-Regression-and-its-partial-derivatives-tp24772731p24784053.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
