thomasmang.ng at googlemail.com
Sun Nov 8 01:01:36 CET 2009
Suppose may data consist of groups (which also define the levels for
random effects), which show group-wise heteroscedasticity, that is for
some groups the variance of residuals is larger than for the others.
Based on specific knowledge of the data and the problem this even makes
perfect sense and is actually a good sign. Technically however it's not
good of course, to put it mildly.
Is there a way in lme4 to handle heteroscedasticity (with known grouping
for the different variances) ?
Any suggestions ?
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