[R-sig-ME] Random-effects variance-covariance matrix in lmer?

[Ben Bolker]

  It can be hacked with a little bit of effort: I just added a document
describing this here:
https://bbolker.github.io/mixedmodels-misc/notes/varmats.html (also see
the .rmd version of the same thing).
	

On 2019-10-02 9:50 a.m., matthias.suter using agroscope.admin.ch wrote:
> Hi all
> 
> I'm looking for a way to specify a more complex variance-covariance matrix for the random effects in lmer(). For example, in lme() (nlme package), there are the pdMat classes to specify e.g. a compound symmetry (pdCompSym) or a multiple of an identity (pdIdent) structure for the variance-covariance matrix of random effects. Is there a possibility to code an equivalent for lmer()? I'm specifically interested in "compound symmetry" and "multiple of an identity".
> 
> I assume that Douglas Bates or Ben Bolker have a distinct answer on that.
> 
> Thanks in advance,
> Matthias
> 
> 
> ---------------------------------------------------------
> Matthias Suter, Dr.sc.nat.
> Forage Production and Grassland Systems
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