[ADMB Users] mcpin

[Mark Maunder]

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

Hi,
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.

thanks,
Mollie

Mollie Brooks
Ph.D. Candidate
NSF IGERT Fellow
Biology Department
University of Florida
mbrooks at ufl.edu
http://people.biology.ufl.edu/mbrooks




_______________________________________________
Users mailing list
Users at admb-project.org
http://lists.admb-project.org/mailman/listinfo/users