I am trying to perform a backwards stepwise variable selection with an mlogit
model. The usual functions, step(), drop1(), and dropterm() do not work for
mlogit models.
Update() works but I am only able to use it manually, i.e. I have to type in
each variable I wish to remove by hand on a separate line.
My goal is to write some code that will systematically remove a certain set of
variables one at a time and compare the AIC of each alternative model.
i.e.:
famodel1.mn <- mlogit(Chosen ~ 0 + q23_wt + park_avg + walk_avg + aesth_avg +
Length + ln_ps, data = data.mn)
I wish to remove each of "q23_wt", "park_avg", "walk_avg" and "aesth_avg" one
at a time from the above model, without having to type each version manually.
Louis Merlin
________________________________
Mr. Louis Merlin, AICP
Doctoral Student
UNC CH Department of City and Regional Planning
[[alternative HTML version deleted]]
______________________________________________
[email protected] 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.
