Dear Mr Bates and Mr Bolker, Dear R-list,
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I have a question regarding the lme4 package and would be very thankful if you could help me.
My data consists of several clusters with repeated measurements x.
Therefore, I want to use the lmer() function to regress the data using a mixed model:
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lmer(y ~ x + (x | cluster).
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I want to weight clusters, which have more measurements than others, slightly higher, as they provide more information.
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Is this done automatically in the lmer() function or should I do it manually by myself? And how could this be realized?
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I tried out small examples with fictitious data (and quite a few with real data) but it seems impossible for me to decide whether lmer() is weighting these clusters higher.
If I weight some clusters higher with the ?weights=? argument, it seems to matter how many measurements the cluster has. If I set default weights it doesn't seem to matter.
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Many thanks in advance,
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Yours sincerely,
Susanne