[ADMB Users] mcpin

Mark Maunder mmaunder at iattc.org
Tue Jan 31 14:47:50 PST 2012

You also need the variance-covariance matrix for the jumping rule. You could use 

xxxx -ainp xxxx.par -mcmc 100000000

To start the model at the parameter estimates (makes it run quicker), estimate the hessian (will take some time), and run the mcmc

-----Original Message-----
From: users-bounces at admb-project.org [mailto:users-bounces at admb-project.org] On Behalf Of Mollie Brooks
Sent: Tuesday, January 31, 2012 2:16 PM
To: ADMB Users
Subject: [ADMB Users] mcpin

I have already found point estimates for the parameters of my model. Now I'm interested in doing mcmc sampling. 
Can I use the command line option -mcpin to start the mcmc sampling at the values stored in model.par without redoing the maximum likelihood estimation? The manual talks about using -mcpin with values from profiling, but I can't do profiling because I'm interested in the distribution of the variance parameters of random effects.


Mollie Brooks
Ph.D. Candidate
Biology Department
University of Florida
mbrooks at ufl.edu

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