multinomial/conditional logit with grouped data in R

2
votes

I'm looking for a way to fit a conditional logit on grouped data in R. I have multinomial choice counts with response- and individual-specific variables. Unfortunately, the expanded dataset would be too huge to work with it. Thus I can't use most of the packages I know, mlogit for example. I discovered vglm from the VGAM package but it doesn't work if one explanatory variable is missing for a response category.

Has someone tried something similar in R ?

Thanks!

1
rconditionalmultinomialmlogitvgam
I've not used it myself so I'm not sure it will meet your specific requirements, but there is a package called mclogit that might do what you need. - David_B
Thanks for your answer! I've already tried mclogit. It only fits conditional models (with (mixed) or without random effect). So only response specific variables can be used. - Cabana

1 Answers

1
votes

You can use clogit in the survival package by setting the strata to your group id.