[R-sig-ME] sandwich variance estimation using glmer?

[Doran, Harold]

Out of curiosity, why would you want a sandwich estimator from lmer? That estimator is typically used when the likelihood is misspecified, but you still want standard errors that account for correlations among units within a cluster.

Since this is what lmer standard errors already account for, is there a need for the sandwich?

> -----Original Message-----
> From: r-sig-mixed-models-bounces at r-project.org [mailto:r-sig-mixed-models-
> bounces at r-project.org] On Behalf Of Tyler Dean Rudolph
> Sent: Tuesday, November 02, 2010 4:41 PM
> To: r-sig-mixed-models at r-project.org
> Subject: [R-sig-ME] sandwich variance estimation using glmer?
> 
> Are there any current functionalities in R that permit estimation of robust
> sandwich variances based on lmer (mixed model) objects??  I'm aware of the
> sandwich package and gee implementations but to my knowledge these are not
> yet compatible with mixed model objects.
> 
> Apparently these are already implemented in SAS....
> 
> Tyler
> 
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