incidence (version 1.7.0)

bootstrap: Bootstrap incidence time series

Description

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.

Usage

bootstrap(x, randomise_groups = FALSE)

Arguments

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.

Value

An incidence object.

Details

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

See Also

incidence::find_peak to use estimate peak date using bootstrap

Examples

Run this code
# NOT RUN {
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)

})}

# }

Run the code above in your browser using DataCamp Workspace