

Hi all, a very quick question.
In the context of mixed effects linear models, the theory tells us that we should not worry if the distribution of the dependent variable is not normal (e.g. if it is uniform, or skewed) as long as the residuals are normally and randomly distributed (and in a homoscedastic way): the estimates should be consistent, but the standard errors might be inflated. So, if a reviewer worries too much about the standard errors, is there a way to use lmer or lme to compute robust standard errors for my fixed and/or random effects? It seems that neither lme4 nor nlme currently support this, but there might be some other software out there to do the trick.


Thank you 


Jason

 
Dr. Iasonas Lamprianou
Department of Social and Political Sciences
University of Cyprus




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