I'll add another that just appeared:

Rethinking the Analysis of Non-Normal Data
in Plant and Soil Science, Walt Stroup.
Published in Agron. J. 106:1-17 (2014)
doi:10.2134/agronj2013.0342

One key takeaway--the linear predictor in linear mixed models may not be
appropriate as the linear predictor in a GLMM.

Kevin Wright



On Mon, Feb 24, 2014 at 7:04 PM, Ben Bolker <bbolker@gmail.com> wrote:

>   Just came across this, of possible interest to folks here.  Haven't
> taken a look at it yet ...
>
> Testing environmental and genetic effects in the presence of spatial
> autocorrelation: Rousset and Ferdy, Ecography
> Article first published online: 18 FEB 2014
> DOI: 10.1111/ecog.00566
>
>   Ben Bolker
>
> _______________________________________________
> R-sig-mixed-models@r-project.org mailing list
> https://stat.ethz.ch/mailman/listinfo/r-sig-mixed-models
>



-- 
Kevin Wright

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