Hi,
the kinship is a known variance-covariance matrix which allows a separation of a observation-level random effect at the "G-side" from the residuals at the  "R-side".

----- Original Message -----
From: Juliet Hannah <juliet.hannah@gmail.com>
Date: Tuesday, March 13, 2012 19:40
Subject: [R-sig-ME] observation level random effects/kinship model
To: r-sig-mixed-models@r-project.org

> All,
> 
> I was reading the following post:
> 
> https://stat.ethz.ch/pipermail/r-sig-mixed-models/2011q1/005184.html
> 
> which discusses why an observation-level random effect does not make
> sense in the linear mixed model
> case.
> 
> Does anyone know of any references that discuss this?
> 
> And for the genetics folks out there, isn't this what the kinship
> model is: an observation-level random effect
> that is correlated by degree of relatedness?
> 
> Thanks,
> 
> Juliet Hannah
> 
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______________________________________________________

Jonas Klasen
PhD student
Genome Plasticity and Computational Genetics
Max Planck Institute for Plant Breeding Research
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