[R-sig-ME] Specify prior for sir-function and starting values in the MCMCglmm packages?

[Jarrod Hadfield]

Hi Linus,

Sorry for the delay. The warning

"priors for sir parameters not implemented"

is correct, and so the priors are essentially flat priors, equivalent  
to a Gaussian with mean zero and very large variance. The default  
prior in MCMCglmm for the fixed is mean zero and a variance of 10^8  
and so I would expect them to give very similar answers (unless there  
is confounding). For some models/data (for example categorical data  
and complete or near-complete separation) then these priors can behave  
poorly, but given sir models can only be fitted to Gaussian data in  
MCMCglmm, I guess this is not the case.

In the next update (which I realise is taking a long time) I will  
implement prior distributions and starting values.

Cheers,

Jarrod






Quoting Linus Holtermann <holtermann at hwwi.org> on Fri, 31 Jan 2014  
12:24:56 +0100:

> Dear list members,
>
> unfortunately Jarrod Hadfield is on field work until the end of June  
> and cant help me with my problems.  Maybe someone on the mailing  
> list knows how to specify starting values and a Prior for the  
> sir-function in MCMCglmm. Short code examples would be great.
>
> Best regards,
>
>
> Linus Holtermann
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