I am having trouble with the following model. I have observations, x[i], that I would like to model as coming from a mixed distribution, which has a point mass at zero with probability p, and is beta(alpha, beta) otherwise (
i.e., with probability 1-p).
I have tried a construct like the following:
for(i in 1:N) {
x[i] ~ p*C
}
p ~ dbern(q)
q ~ dunif(0,1)
C ~ dbeta(alpha, beta)
}
WinBUGS will not allow this, responding that there are multiple definitions of node UA[1]. I have checked the archives, and this question has been posted, but I can't find any answers.
--
Dana Kelly
Idaho National Laboratory
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