[R-sig-ME] observation level random effects/kinship model

[Juliet Hannah]

Thanks for all the responses. I'll study this further and will report back.

On Wed, Mar 14, 2012 at 8:28 AM, Ryan King <c.ryan.king at gmail.com> wrote:
> When the observation-level random effects are independent then they
> are the same as the noise. i.e.
> y = xb + u +e can just be rewritten y= xb + e', with e' = u+e. Since
> the sum of two normals is normal, the model is unchanged from usual
> OLS.
>
> With kinship that symmetry breaks, and observation-level random
> effects are identifiable.
>
> .I am currently using R to do such genetics models to do association
> .mapping. I ask to other people that have done that before me and if I
> .understand well, no packages allows to specify such a variance/covariance
> .matrix for a random effect except ASREML.
>
> You can also use MCMCglmm and R-INLA.
>
> Ryan King
>
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