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: [EMAIL PROTECTED]> To: [EMAIL
> PROTECTED]> 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 <[EMAIL PROTECTED]> 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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