[R-sig-ME] Kin selection and mixed models
j.hadfield at ed.ac.uk
Mon Mar 7 19:09:38 CET 2011
Quantitative genetic models are linear mixed models, and there are
plenty of derivations of Hamilton's rule in terms of quantitative
genetics. A good start is David Queller's work in the early 1990's,
Steve Frank's book "Foundations of Social Selection" and Andy
Gardner's 2007 paper in Am. Nat. to name but a few. Recent work by
Bijma's is probably more accessible if you are familiar with mixed
model methodology. This is just the tip of the iceberg .....
On 7 Mar 2011, at 17:40, Dominick Samperi wrote:
> As a mathematician (but not an expert on mixed effects models) it
> seems to me
> that the Price equation from kin selection is a tautology, yet I
> suspect that when
> combined with biological intuition and mixed effects modeling ideas
> there should
> be a non-trivial message. Can somebody with the necessary background
> an inter-disciplinary light on this message or point me to
> references that do?
> Has there been any recent work using mixed effects models on kin
> Hamilton's rule, etc.?
> R-sig-mixed-models at r-project.org mailing list
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