I have a small simulation where I generate some data with known quantities in R, and submit the data to JAGS in an attempt to recover the generating numbers. I'm only tracking two parameters and the priors seem simple (?). I can run this script a hundred times on a single core and never receive a node error, but when I attempt to run it on multiple cores, it throws node errors more often than not. I've tried a variety of priors with some improvement, but I can't eliminate node errors altogether. I'm using the MonteCarlo R-package which operates on a user-supplied function, which, in my case, included the data generating R-code as well as the JAGS script. I can't ascertain whether this is a problem with how the R-package parallelizes the function, or whether it's my choice of priors. After 10 years of learning and using JAGS, I still consider myself a newbie. Any thoughts?
Thanks in advance.
Brian
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I have a small simulation where I generate some data with known quantities in R, and submit the data to JAGS in an attempt to recover the generating numbers. I'm only tracking two parameters and the priors seem simple (?). I can run this script a hundred times on a single core and never receive a node error, but when I attempt to run it on multiple cores, it throws node errors more often than not. I've tried a variety of priors with some improvement, but I can't eliminate node errors altogether. I'm using the MonteCarlo R-package which operates on a user-supplied function, which, in my case, included the data generating R-code as well as the JAGS script. I can't ascertain whether this is a problem with how the R-package parallelizes the function, or whether it's my choice of priors. After 10 years of learning and using JAGS, I still consider myself a newbie. Any thoughts?
Thanks in advance.
Brian