[R-sig-ME] estimates of between sex correlations

[Jarrod Hadfield]

Hi Celine,

Unfortunately I don't think the model you want to fit can be fitted in  
MCMCglmm. Currently only (conditional) diagonal and (conditional)  
block residual covariance matrices are implemented, and what you want  
is block diagonal. ASReml is probably you best way forward at the  
moment. If you are prepared to assume that the residual covariances  
for the 3 traits are equivalent in the two sexes then you can use  
rcov=~us(trait):sex:units.

  With respect to the permanent environment effects you can fit a  
block diagonal using

us(at.level(sex,1):trait):id+us(at.level(sex,2):trait):id

where id are the individual identifiers.

I may allow this type of syntax in the residual structure in the near future.

Cheers,

Jarrod


Quoting Celine Teplitsky <teplitsky at mnhn.fr>:

> Dear all,
>
> I would like to fit a model to estimate between sex genetic
> correlations for 3 traits (3 same traits expressed both in males and
> females) using MCMCglmm. My problem is I don't understand how I can
> manage to fix the covariances between male and female traits to 0 for
> residual variance and permanent environment. Could anyone help me with
> this?
>
> Many thanks in advance
>
> All the best
>
> Celine
>
> -- 
>
> Celine Teplitsky
> Département Ecologie et Gestion de la Biodiversité UMR 7204
> Unité Conservation des Espèces, Restauration et Suivi des Populations
> Case Postale 51
> 55 rue Buffon 75005 Paris
>
> Webpage :http://www2.mnhn.fr/cersp/spip.php?rubrique96
> Fax : (33-1)-4079-3835
> Phone: (33-1)-4079-3443
>
> _______________________________________________
> R-sig-mixed-models at r-project.org mailing list
> https://stat.ethz.ch/mailman/listinfo/r-sig-mixed-models



-- 
The University of Edinburgh is a charitable body, registered in
Scotland, with registration number SC005336.