I will also post the above to the sig mixed models forum now.
Thanks.
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Sorry, I was not particularly clear.
I ran my data through a GLM (the response variable is a proportion, and I
ignored the random effects for the purposes of data exploration), and
plotted the residuals against each of my predictor variables (some of which
are continuous, some categorical). The h
My data have heterogeneity of variance (in a categorical variable), do I need
to specify a variance structure accounting for this in my model or do GLMMs
by their nature account for such heterogeneity (as a result of using
deviances rather than variances)? And if I do need to do this, how do I do
i
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