Details on model development, particularly working with the gamma and negative binomial parameterizations in JAGS, plus pseudo-code for generating cross-validated posterior predictions.
Statistically modeling the output of a stochastic computer model can be difficult to do accurately without a large simulation budget. We alleviate this problem by exploiting readily available determin