[R-sig-ME] Extending chains in MCMCglmm?

[Alexandre Courtiol]

Dear all,

Is there a way to extend MCMC chains once a MCMCglmm fit is over?

I am using a relatively big dataset (35000 rows) and a rather complex model
(4 response variables, several fixed and random effects). So it is (as it
should be) slow.

Therefore after a run of one week, if the MCMC chains did not converge
well, I would like to know how I could continue to run the model starting
from the end point of the chains I have obtained. Ideally, I would love to
be able to consider the full length of the chains (so old + new ones) and
to have to possibility to redefine the burn-in period for the analyses.

Apologies if it is in the manual/course notes/tutorial... I looked for it
but may have missed it.

Best,

Alex


-- 
Alexandre Courtiol

http://sites.google.com/site/alexandrecourtiol/home

*"Science is the belief in the ignorance of experts"*, R. Feynman

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