[R-sig-ME] Clarification needed about the terminology used whentalking about mixed models

[Paolo Innocenti]

An animal model is a mixed model in which you use a "pedigree" to 
estimate your variance components, instead of defined levels within a 
factor. This pedigree provides information about the relationships among 
your observations. I have no idea about how it works, but Jarrod 
Hadfield provides this reference when talking about animal models in his 
MCMCglmm package (in which you can fit animal models):

C. R. Henderson. Simple method for computing inverse of a numerator 
relationship matrix used in prediction of breeding values. Biometrics, 
32(1):69–83,
1976.

Someone should correct me if what I said is wrong =).
Best,
paolo


Thompson,Paul wrote:
> I can start.
> 
> 1) Mixed models are models which include fixed and random effects.  Mixed models can be used to estimate and test multi-level models, and random regression models are among those.  Random regression models are a form of mixed model, in which each unit at Level 1 has an individualized regression equation estimated.  The regression often includes a slope (individual rate of change) and intercept (individually tailored y-intercept).
> 
> 2) I have no idea what an animal model is, unless you mean one of those little dinosaur toys :-).
> 
> -----Original Message-----
> From: r-sig-mixed-models-bounces at r-project.org on behalf of Amelie Lescroel
> Sent: Mon 8/9/2010 7:27 AM
> To: r-sig-mixed-models at r-project.org
> Subject: [R-sig-ME] Clarification needed about the terminology used whentalking about mixed models
>  
> Hello,
> 
>  
> 
> Could someone give me a clear definition of what a "random regression model"
> is and what are the differences between a mixed model, a random regression
> model and an animal model? I'm beginning to be lost among the multiple
> designations. 
> 
>  
> 
> Thanks,
> 
>  
> 
> Amelie
> 
>  
> 
>  
> 
>  
> 
> 
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