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
Currently the get_draws_df() function returns a tibble with posterior draws (during the calibration, nowcast, and forecast period) joined to data/metadata if applicable for the following variables: "global" hospital admissions, site-lab leve wastewater concentrations, "global" R(t), subpopulation level R(t). These are returned in a long format under the column name. It might not be clear to the user that all of these variables are in this table. They also might only care about some of them (e.g. if they are doing a hospital admissions forecast evaluation, they do not need to carry around the extra variables).
Context
feedback from @akeyel indicating it wasn't clear what output variables were being returned in this table
kaitejohnson
commented
1 month ago
Goal
Currently the
get_draws_df()function returns a tibble with posterior draws (during the calibration, nowcast, and forecast period) joined to data/metadata if applicable for the following variables: "global" hospital admissions, site-lab leve wastewater concentrations, "global" R(t), subpopulation level R(t). These are returned in a long format under the columnname. It might not be clear to the user that all of these variables are in this table. They also might only care about some of them (e.g. if they are doing a hospital admissions forecast evaluation, they do not need to carry around the extra variables).Context