An in-development R package and a Bayesian hierarchical model jointly fitting multiple "local" wastewater data streams and "global" case count data to produce nowcasts and forecasts of both observations
Right now, user can specify some key things but others are drawn from example_params.toml. For maximum flexibility of simulation studies, we might want to let the user vary any of the input parameters + model specifications. This would be easiest done if we set something up where all args are named, and if not named they by default are drawn from the prior.
Goal
Right now, user can specify some key things but others are drawn from
example_params.toml. For maximum flexibility of simulation studies, we might want to let the user vary any of the input parameters + model specifications. This would be easiest done if we set something up where all args are named, and if not named they by default are drawn from the prior.