Get the doubling time

get_doubling_time(
  obj,
  iter = seq_along(obj$post$R0),
  forecast_days = 25,
  window_check = 25,
  show_plot = TRUE,
  ...
)

Arguments

obj	Output from `fit_seir()`.
iter	Vector of MCMC iterations to work with.
forecast_days	Days to use in forecast.
window_check	The window of days to use from the last day forecasted.
show_plot	Make a diagnostic plot? Each line is a posterior sample of the log prevalence time series. Each line should be well approximated by a linear model
...	Other arguments for `project_seir()`.

A vector of doubling times across iterations.

Assumes that prevalence is increasing; negative values imply halving times. Use show_plot if you want to check the time series.

# See ?project_seir