Plot the posterior prediction for the transmission advantage for the variant of concern

Plot the posterior prediction for the transmission advantage for the variant of concern

Usage

plot_voc_advantage(
  posterior,
  forecast_dates = NULL,
  central = FALSE,
  voc_label = "variant of concern",
  ...
)

Arguments

posterior

A dataframe of posterior output as produced by fv_tidy_posterior(). For forecast dates to be extracted data with value_type == "cases" must be present.

forecast_dates

A data.frame in the format produced by extract_forecast_dates() (with at least a date variable and a Data unavailable variable)). Specifies when date availability should be add to plots. May contain faceting variables.

central

Logical, defaults to FALSE. Should the mean and median central estimates be plot as dashed and solid lines respectively. Requires mean and median variables to be present in the input.

voc_label

Character string giving the name to assign to the variant of concern. Defaults to "variant of concern".

...

Additional parameters passed to plot_default().

Value

A ggplot2 plot.

See also

Plotting functions add_forecast_dates(), plot.fv_forecast(), plot.fv_posterior(), plot_cases(), plot_default(), plot_growth(), plot_pairs(), plot_posterior(), plot_rt(), plot_theme(), plot_voc_frac(), save_plots()

Examples

posterior <- fv_example(strains = 2, type = "posterior")
plot_voc_advantage(posterior)