
I tried vif()...but I can only get it to run with lm and glm.  Is there a way to run vif() with lmer() or glmmPQL()?  Or is there another way to check for collinearity between parameters while taking a random effect into account?
> Date: Wed, 19 Nov 2008 23:26:53 -0300> From: gustavo.bio@gmail.com> To: cj_keebs@hotmail.com> Subject: Re: [R] Checking collinearity using lmer> CC: r-help@r-project.org> > Take a look at vif in the package car.
 
> > On Wed, Nov 19, 2008 at 10:00 PM, Crystal McRae <cj_keebs@hotmail.com> wrote:> >> >> > I am running a logistic regression model with a random effect using lmer. I am uncertain how to check for collinearity between my parameters. I have already run cor() and linear regression for each combination of parameters, and all Rsqr values were <0.8….but I am analyzing ecological data so a 0.8 cutoff may be unrealistic.> >> > -is there a way to check variance inflation factors or tolerance using lmer?-Or is there a better way?> > _________________________________________________________________> >> >> > [[alternative HTML version deleted]]> >> >> > ______________________________________________> > R-help@r-project.org 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.> >> >
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