bootstrap: Bootstrap incidence time series
In reconhub/incidence: Compute, Handle, Plot and Model Incidence of Dated Events

Description Usage Arguments Details Value Author(s) See Also Examples

This function can be used to bootstrap incidence objects. Bootstrapping is done by sampling with replacement the original input dates. See details for more information on how this is implemented.

1	bootstrap(x, randomise_groups = FALSE)

`x`	An `incidence` object.
`randomise_groups`	A `logical` indicating whether groups should be randomised as well in the resampling procedure; respective group sizes will be preserved, but this can be used to remove any group-specific temporal dynamics. If `FALSE` (default), data are resampled within groups.

As original data are not stored in incidence objects, the bootstrapping is achieved by multinomial sampling of date bins weighted by their relative incidence.

An incidence object.

Thibaut Jombart thibautjombart@gmail.com

find_peak to use estimate peak date using bootstrap

if (require(outbreaks) && require(ggplot2)) { withAutoprint({
  i <- incidence(fluH7N9_china_2013$date_of_onset)
  i
  plot(i)

  ## one simple bootstrap
  x <- bootstrap(i)
  x
  plot(x)

})}