I don't know if I understand you correctly, but I think you missed to
read ?bugs carefully enough:
bugs(....., DIC = FALSE)
should disable calculation of DIC statistics. If your example still
fails, please specify a reproducible example in a private message.
Asking the package maintainer / authors would have been a better idea
for such a specialized question.
Uwe Ligges
BTW: You might want to try out the new CRAN package BRugs, which
provides an interface to the (included) OpenBUGS (the next version of
WinBUGS). Currenty, it only works on Windows, though.
Li, Jia wrote:
Dear all,
I tried to run WinBUGS model in R by using package R2WinBUGS, but I
failed because of the massage : cannot calculate DIC for model in log
file of WinBUGS14. In fact, the model works in WinBUGS and I can get
summaries of the model, such as density, stats..., except DIC , because
DIC may not be appropriate in this kind of model due to some
reasons(according to the manual of WinBUGS14), and WinBUGS cannot
calculate it, but this is allowed in WinBUGS. If I just ran it in
WinBUGS, that would be fine, because my goal is to get the summay not
DIC, but I need to run it in R, and R must have DIC. (the example as
follow). I am wondering what I can do to fix it in R?
for exampe: the school example:
the output in R:
print(schools.sim)
Inference for Bugs model at "c:/schools/schools.bug"
3 chains, each with 1000 iterations (first 500 discarded)
n.sims = 1500 iterations saved
mean sd 2.5% 25% 50% 75% 97.5% Rhat n.eff
theta[1] 11.1 9.1 -3.0 5.0 10.0 16.0 31.8 1.1 39
.....
theta[8] 8.3 8.4 -6.6 2.8 8.1 12.7 26.2 1.0 64
mu.theta 7.6 5.9 -3.0 3.7 8.0 11.0 19.5 1.1 35
.....
deviance 60.8 2.5 57.0 59.1 60.2 62.1 66.6 1.0 170
pD = 3 and DIC = 63.8 (using the rule, pD = var(deviance)/2)
Thanks a lot,
Jia
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