[R-sig-ME] A question about LME4

[Douglas Bates]

As Ben mentioned in his off-list reply to you, the paper
http://arxiv.org/abs/1406.5823 describes in some detail the computational
methods that are used in lme4.  The fact that they don't correspond to
those in the 2006 paper by Gurka in The American Statistician is not an
oversight.  They are quite superior to any methods based on the equations
in that paper, as they should be.  We have spent the last 20 years or so
developing them.

On Tue, Aug 11, 2015 at 10:31 AM <Subhash.Chandra at ecodev.vic.gov.au> wrote:

> Appreciate your help and advice on (hopefully a simple) question. This
> relates to the mathematical expressions that LME4 uses to estimate log
> likelihood under maximum likelihood (ML) and under residual maximum
> likelihood (ReML) for fitting linear mixed models (LMM). What I am
> 'exactly' looking for is mathematical expressions for log likelihood in
> the form of expressions (2), (4) and (5) in the attached paper by Gurka
> (2006).
>
>
>
> I have gone through the LME4 documentation
> https://cran.r-project.org/web/packages/lme4/vignettes/lmer.pdf
> https://cran.r-project.org/web/packages/lme4/vignettes/Theory.pdf
>
> I must admit I am unable to figure out the answer to my question.
>
> Regards,
> Subhash
>
> Dr Subhash Chandra | Chief Biometrician
> Agriculture Research & Development Division
> Department of Economic Development, Jobs, Transport & Resources
> 255 Ferguson Road, Tatura 3616, Victoria, Australia
> T:  03 5833 5397 | M: 0427 277 560 | E: Subhash.Chandra at ecodev.vic.gov.au
>
>
>
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