Hi:

Try the influence.ME package at CRAN. Its description file says:
Tools for detecting influential data in mixed effects models

HTH,
Dennis

On Fri, Jan 21, 2011 at 1:05 PM, Jenn Barrett <jsbarret@sfu.ca> wrote:

> Hi everyone,
>
> My colleague and I recently fit a linear mixed effects model with lmer(),
> and after looking at the results, my supervisor is interested in having me
> examine the influence of individual observations (he suspects that there may
> be a couple high leverage points); however, I'm at a loss on how to do this
> with a "mer" object. Is there a function/method for computing Cook's
> distance, leverage plots or some other measure of influence for "mer"
> objects? I've searched the forum, but have only come across unanswered
> questions.
>
> Thanks in advance.
>
> Jenn
>
> _______________________________________________
> R-sig-mixed-models@r-project.org mailing list
> https://stat.ethz.ch/mailman/listinfo/r-sig-mixed-models
>

	[[alternative HTML version deleted]]


