I'm running JAGS (2.2.0 x64, Win7) from R (2.12.2) via Rjags, and I'm
interested in the mode of the deviance distribution as a rough way to compare
my JAGS model with some similar maximum-likelihood models. According to the
help for dic.samples(), the dic object which is produced by dic.samples() has
an element called "deviance" which is "a list of mcarray objects, one for each
observed stochastic node, containing samples of the deviance." Thus, I was
expecting {dic.object}$deviance_ to be an array of Nsamples numbers, giving
samples of the deviance of node i. However, it turns out that all of the
elements of {dic.object}$deviance have length 1. Does this mean that
{dic.object}$deviance_ gives the mean deviance at node i across all samples?
Is there some way of actually looking at the sampled deviance values so that I
could find the mode of the total deviance?__
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I changed the format of dic.samples, but forgot to update the documentation. A
new version of rjags has been pushed to CRAN.
Originally I stored individual samples for individual nodes, but in a model
with 1000s of observations and 1000s of iterations, this uses up a lot of
memory. The new dic.samples() just records the mean contribution to the
deviance and to pD for each observed node.
If you would like to refer to this comment somewhere else in this project, copy and paste the following link:
I'm running JAGS (2.2.0 x64, Win7) from R (2.12.2) via Rjags, and I'm
interested in the mode of the deviance distribution as a rough way to compare
my JAGS model with some similar maximum-likelihood models. According to the
help for dic.samples(), the dic object which is produced by dic.samples() has
an element called "deviance" which is "a list of mcarray objects, one for each
observed stochastic node, containing samples of the deviance." Thus, I was
expecting {dic.object}$deviance_ to be an array of Nsamples numbers, giving
samples of the deviance of node i. However, it turns out that all of the
elements of {dic.object}$deviance have length 1. Does this mean that
{dic.object}$deviance_ gives the mean deviance at node i across all samples?
Is there some way of actually looking at the sampled deviance values so that I
could find the mode of the total deviance?__
I changed the format of dic.samples, but forgot to update the documentation. A
new version of rjags has been pushed to CRAN.
Originally I stored individual samples for individual nodes, but in a model
with 1000s of observations and 1000s of iterations, this uses up a lot of
memory. The new dic.samples() just records the mean contribution to the
deviance and to pD for each observed node.
Thanks for the info. And thanks for sharing your work.
You're welcome. It might even work properly one day.