[R-sig-ME] lmer(): Higher weight in case of more measurements

[romunov]

Hi,

something similar has been discussed before. Have you seen this?
https://stat.ethz.ch/pipermail/r-sig-mixed-models/2014q3/022481.html

Cheers,
Roman


On Fri, May 15, 2015 at 2:28 PM, Susanne Susanne <susanne.stat at gmx.de>
wrote:

> Dear Mr Bates and Mr Bolker, Dear R-list,
>
> 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:
>
> lmer(y ~ x + (x | cluster).
>
> I want to weight clusters, which have more measurements than others,
> slightly higher, as they provide more information.
>
> Is this done automatically in the lmer() function or should I do it
> manually by myself? And how could this be realized?
>
> 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.
>
> Many thanks in advance,
>
> Yours sincerely,
>
> Susanne
>
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> https://stat.ethz.ch/mailman/listinfo/r-sig-mixed-models
>



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