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
Add an option to the spatial wastewater model to allow for inference on correlation matrix $\Omega$, without using the correlation function based off distances of wastewater sites.
Context
Currently, we have parameters for our correlation function, of which the model is currently inferring. This correlation function is using the distance of wastewater sites. We want to allow an option for a user to tell the model to infer the correlations without using distances of wastewater sites.
Requirements
[x] Add a switch to use inference on correlation matrix without using distances of wastewater sites.
[x] Add model components to infer correlation matrix without using distances of wastewater sites.
Goal
Add an option to the spatial wastewater model to allow for inference on correlation matrix $\Omega$, without using the correlation function based off distances of wastewater sites.
Context
Currently, we have parameters for our correlation function, of which the model is currently inferring. This correlation function is using the distance of wastewater sites. We want to allow an option for a user to tell the model to infer the correlations without using distances of wastewater sites.
Requirements