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
@ChiragKumar9's suggestion to show how to edit the guts of the stan model to say do something like add a quadratic term to the AR process in $R(t)$. This package isn't meant to be a model factory/ meta programming package, but it is reasonable that an advanced user might want to add a component that they need for their specific use case.
Think its worth having a discussion around whether we want to show this-- I think its really useful for making contributions to the model development accessible. Wondering if @cbernalz has thoughts since his development on the spatial components represents this, and he had to do it without a vignette showing how one might go about this!
Goal
@ChiragKumar9's suggestion to show how to edit the guts of the stan model to say do something like add a quadratic term to the AR process in $R(t)$. This package isn't meant to be a model factory/ meta programming package, but it is reasonable that an advanced user might want to add a component that they need for their specific use case.
Think its worth having a discussion around whether we want to show this-- I think its really useful for making contributions to the model development accessible. Wondering if @cbernalz has thoughts since his development on the spatial components represents this, and he had to do it without a vignette showing how one might go about this!