[R-sig-ME] MCMCglmm prior specification

[Jarrod Hadfield]

Hi,

R defines the prior for the residual covariance matrices. B specifies  
the prior for the `fixed' effects.

Cheers,

Jarrod



Quoting Iker Vaquero Alba <karraspito at yahoo.es> on Mon, 12 Oct 2015  
10:34:01 +0000 (UTC):

>    Hello everyone,
>    I am reading a lot of documentation at the moment about prior  
> specification in MCMCglmm, and there is still something I have not  
> very clear. According to some sources, there are mainly two elements  
> to take into account when defining a prior:   - An R structure that  
> needs to be specified for each fixed effect. And
>    - A G structure for each random effect.
>    However, in other sources another element, B, is introduced as  
> well, which refers to fixed effects too. In Jarrod's Course Notes, I  
> see that both R and B have to do with fixed effects: R specifies V  
> and nu arguments for the variance, and B specifies V and mu elements  
> for the mean.
>   
>    My confusion comes from the fact that almost every time I see an  
> example of a prior, it just has two elements, R (for fixed effects)  
> and G (for random effects). Why is this? Is it not so important to  
> define a prior for the mean? Is it enough with a prior specification  
> for the variance of fixed effects and another one for all the random  
> effects?
>    Thank you very much in advance.   Iker
>
>  
> __________________________________________________________________
>
>    Iker Vaquero-Alba
>    Visiting Postdoctoral Research Associate
>    Laboratory of Evolutionary Ecology of Adaptations
>    Joseph Banks Laboratories
>    School of Life Sciences
>    University of Lincoln   Brayford Campus, Lincoln
>    LN6 7DL
>    United Kingdom
>
>    https://eric.exeter.ac.uk/repository/handle/10036/3381
>
>
> 	[[alternative HTML version deleted]]
>
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