Code for Rapid prototyping for quantifying belief weights of competing hypotheses about emergent diseases

Code submitted to Journal of Environmental Management and ScienceBase for running Bayesian hierarchical models on a dataset that was collected using expert elicitation of a panel of 15 experts on the etiology of stony coral tissue loss disease and its impacts on coral reefs. The code is for a rapid prototyping method for quantifying belief weights for competing hypotheses about the etiology of disease using Bayesian hierarchical modeling. The code was developed to narrow down the number of potential hypotheses, synthesize current understanding, and help prioritize future studies and experiments.