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question on MCMCglmm
2 messages · emre karaman, Jarrod Hadfield
2 days later
Hi, The prior for the fixed effects is (multivariate) normal, specified as: prior=list(B=list(mu=mu, V=V)) where mu are your prior means, and V your prior (co)variances. The default is mu=0 and V = I*1e+10: depending on the scale of your data this is probably close to uniform. The random effects also have a (multivariate) normal prior, determined by the estimated variances. You place a hyper-prior on these variances by specifying the G element in the prior. Cheers, Jarrod Quoting emre karaman <emre_marmara2002 at yahoo.com> on Mon, 26 Mar 2012 01:33:24 -0700 (PDT):
Dear Dr., For one-way anova model I assume a uniform distribution for overall mean, that is p(mu)=1, and a normal distribution for random effects. However, prior specification for overall mean is not clear, at least yet for me. Could you please tell the way to overcome this problem. Best Wishes.? [[alternative HTML version deleted]]
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