Specify prior for sir-function and starting values in the MCMCglmm packages?

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
Hamburgisches WeltWirtschaftsInstitut gemeinn?tzige GmbH (HWWI)
Heimhuder Stra?e 71
20148 Hamburg
Tel +49-(0)40-340576-336
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