Jarrod,
How does gelman.prior work (or how should it be modified) to
accommodate fixed formulas involving the reserved word 'trait'?
thanks
Alan Cobo-Lewis
Dept of Psychology
Univ of Maine
GESENDET: Freitag, 02. August 2013 um 14:54 Uhr
> VON: "Jarrod Hadfield" <j.hadfi...@ed.ac.uk>
> AN: "Sereina Graber" <sereina.gra...@gmx.ch>
> CC: r-sig-phylo@r-project.org
> BETREFF: Re: Aw: Re: [R-sig-phylo] WG: Re: Re: MCMCglmm for
> categorical data with more than 2 levels - prior specification?
> Hi,
> They are the effect of the covariates on the probability of being in
> the categories 2,3,4 versus category 1. Note that your effective
> sample sizes are very small which means mixing is a problem and you
> need to run it for longer. Numerical/Inferential problems can also
> occur if the joint distribution of the predictors and the outcomes
> results in `extreme categorical problems'. You then might want to
> follow Gelman's advice on priors for fixed effects. See the function
> gelman.prior.
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