[R-sig-ME] MCMCglmm prior specification
Jarrod Hadfield
j.hadfield at ed.ac.uk
Mon Oct 12 12:56:20 CEST 2015
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
>
>
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>
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