Hi Jeff, I'm not sure why there would be a problem with a zero-inflated count predictor. As far as I am aware, no regression assumptions are predicated on the distribution of the predictor variables.
However, should you wish to, it seems to me that you should be able to do anything you like with it. It might be worth taking the traditional hurdle approach, and breaking the predictor into two predictors, one of which is zero/not zero, and the other of which is NA at 0. I'm not sure that you'd get a wholly satisfactory analysis though. I hope that this helps, Andrew On Thu, Mar 08, 2007 at 07:13:37PM -0500, Jeff Miller wrote: > > Hi all, > > Does anyone know how to deal with a zero-inflated count PREDICTOR? I know we > can use ZIP, Hurdle, etc for zero-inflated response variables, but what if > the problem occurs with one of the covariates? > > I have already found that the literature is correct in stating that any > transformation will just lead to a distribution with a different inflated > value, so the arcsin is out. > > Thanks, > Jeff > > ______________________________________________ > [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. -- Andrew Robinson Department of Mathematics and Statistics Tel: +61-3-8344-9763 University of Melbourne, VIC 3010 Australia Fax: +61-3-8344-4599 http://www.ms.unimelb.edu.au/~andrewpr http://blogs.mbs.edu/fishing-in-the-bay/ ______________________________________________ [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.
