Specification Noninformative Prior with Jeffrey's Method in MCMCglmm function

Hi,

I think p(sigma^2) = 1/sigma^2 is the limit of the inverse-chisquare 
distribution as nu goes to zero.  This is the default in MCMCglmm.

Cheers,

Jarrod
Hello.
Now, i'm writting thesis with the topic Small Area Estimation using
Bayesian Approach.
Models that i use in estimation are Linear Mixed Model (LMM) and
Generalized Linear Mixed Model (GLMM) because my response variable is
Zero-Inflated Data.
But, i have problem when i fit a linear mixed model. I want specification
prior for residual variance parameter (sigma^2) is 1/sigma^2 that i get
using Jeffrey's Method from Normal distribution.
So, how to specification that prior in MCMCglmm function?
I hope you can help me.
Thank you.

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Specification Noninformative Prior with Jeffrey's Method in MCMCglmm function

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