Hi all,

I'm trying to make some information about using MCMCglmm more systematic,
but the picture I'm getting from this list and resources on MCMCglmm is a
little blurry. Could you at least try ;) provide simple criteria that could
be used to tell whne to use proper and when (we could possibly) use improper
priors? In general I've been using proper priors and I don;t have much
experience with improper ones.Also - based on your own experience which
prior specifications you find more useful? E.g.

list(R=list(V=1,nu=0.002),G=list(G1=list(V=1,nu=0.002))) is commonly used
but Wilson's ecologists guide to theanimal model suggests using priors like
this:

list(R=list(V=some_variance,nu=1),G=list(G1=list(V=some_variance,nu=1))) (of
course for gaussian data, single variances).

Any help will be appreciated!
Cheers,
sz.

-- 
Szymon Drobniak || Population Ecology Group
*Institute of Environmental Sciences, Jagiellonian University
ul. Gronostajowa 7, 30-387 Kraków, POLAND
*tel.: +48 12 664 52 19 fax: +48 12 664 69 12

www.eko.uj.edu.pl/drobniak

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