Arguably you are looking in the wrong place (there's a special mixed-models
mailing list for R), but I can answer the question.
No.
At least, there's nothing in lme4, and I haven't done anything (since I
want a more general solution than Stata and MLWiN implement) and I'd be
surprised if someone else had done it.
-thomas
On Tue, May 14, 2013 at 3:35 PM, Richard Blissett
<rsl.bliss@gmail.com>wrote:
> Perhaps I am not looking in the right place, but I am looking for a way to
> use lmer() to run a multilevel model that incorporates sampling weights. I
> have used the Lumley survey package to use sampling weights in the past,
> but according to post I found online from Thomas Lumley in mid-2012, R is
> currently not equipped to be able to do this.
>
> His post is here:
>
>
http://r.789695.n4.nabble.com/sampling-weights-for-multilevel-models-tp4632947p4632955.html
>
> Does anyone know if there has been an update since then to be able to do
> this, or if there's another way to go about doing this in R? Otherwise,
I
> am thinking that I will have to move my data over to Stata and try to run
> the multilevel models there.
>
> Richard
>
> --
> Richard Blissett
>
> Eco-Tip: Before printing, please consider whether you really need to have
> this email on paper.
>
> [[alternative HTML version deleted]]
>
> ______________________________________________
> R-help@r-project.org mailing list
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide
> http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
>
--
Thomas Lumley
Professor of Biostatistics
University of Auckland
[[alternative HTML version deleted]]