Contains models and tools to produce short-term forecasts for both case and sequence notifications assuming circulation of either one or two variants. Tools are also provided to allow the evaluation of the use of sequence data for short-term forecasts in both real-world settings and in user generated scenarios.
Add a function and optionally a plot to summarise the modelled increase in growth rate/Rt due to the new model. This should support all variant relationship types and be clear about what it is showing. A logical place to extract the effects is from the output of fv_posterior. Example summary parameters of interest can be found with the following,
p <- fv_example(strains = 2, type = "posterior")
p[value_type %in% "model"]
seabbs
commented
2 years ago
Add a function and optionally a plot to summarise the modelled increase in growth rate/Rt due to the new model. This should support all variant relationship types and be clear about what it is showing. A logical place to extract the effects is from the output of
fv_posterior. Example summary parameters of interest can be found with the following,