Predict after running the mlogit function in R

Question

Here's what I want to do, but there seem to be no predict method for the mlogit. Any ideas?

library(mlogit)
data("Fishing", package = "mlogit")
Fish <- mlogit.data(Fishing, varying = c(2:9), shape = "wide", choice = "mode")

Fish_fit<-Fish[-1,]
Fish_test<-Fish[1,]
m <- mlogit(mode ~price+ catch | income, data = Fish_fit)
predict(m,newdata=Fish_test)

Answer 1

To answer my own question, I've moved over to using the 'glmnet' package to fit my multinomial logits, which has the added advantage of using the lasso or elastic net to regularize my independent variables. glmnet seems to be a much more 'finished' packaged than mlogit, complete with a 'predict' function.

Answer 2

I'm pretty sure this is easily done with the given mlogit package by using the fitted function and then the standard R predict function. As chl pointed out, although I haven't done it myself yet (at least not the predict), is exampled in the package vignettes here on pg 29.