I am getting started with Stan, and I have the following state-process model coded in Stan: data { int<lower=0> maxIter; int<lower=0> numGears; int C[numGears,maxIter,2]; real totalArea; real a[numGears]; } parameters { real<lower=0> N0; real<lower=0,upper=1> juvProp; real<lower=0> …

You are expecting sampling statements like nJ[i,j] ~ poisson(a[i]*J[j]/totalArea); to populate nJ[i,j] with a value sampled from a Poisson distribution. But that’s not what these statements achieve in Stan. Instead, in Stan, these statements exist to define something proportional to the joint log-…

Random Poisson variable is a negative but must be nonnegative!

Modeling

jarroyoe February 13, 2024, 4:18pm 6

Thanks! I’m guessing that in that case one would need to do something like what you mentioned in the other post.

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Random Poisson variable is a negative but must be nonnegative!

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