R Package about Variable Selection for GLMM (Generalized Linear Mixed Model)?
I have searched for a long time to find out R program about V ariable S election for GLMM (Generalized Linear Mixed Model).
I saw several great R packages for V ariable S election. IÂ also found several R packages for GLMM. But, I did not find yet R package about V ariable S election for GLMM even though sevelÂ papers about it have been published. Â
In fact,Â I need V ariableÂ S electionÂ toolÂ for Aggregate RC (Random Coefficient) Logit Model.Â However, I don't think that AggregateÂ RC Logit is popular since most researcher use subject (individual) level choiceÂ data rather thanÂ aggregate dataÂ whichÂ onlyÂ hasÂ information about the summation across all individualÂ in theÂ given time period.
Therefore, if I couldÂ find out any Variable Selection tool forÂ RC logit (one ofÂ GLMM), I would like toÂ apply itÂ forÂ myÂ problem, which is "Variable SelectionÂ forÂ AggregateÂ RC Logit.
Re: R Package about Variable Selection for GLMM (Generalized Linear Mixed Model)?
Jun Bum Kwon <junbum <at> uwm.edu> writes:
> I saw several great R packages for Variable Selection.
> I also found several R packages for GLMM. But, I
> did not find yet R package about Variable Selection for
> GLMM even though several papers about it have
> been published.
Such methods may or may have been coded in R at present.
It would be helpful to (a) post references for the 'several papers'
you refer to and (b) post further queries to the R-sig-mixed-models
mailing list, which is more appropriate for questions about (G)LMMs.
This may also be an appropriate place for the comment, "tell us what
problem you are trying to solve, not just which methods you want to use", since
sometimes people on the list are aware of different (and/or better, at
least according to some criteria) methods for solving the same problem.