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)
Value
An incidence object.
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.
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
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)
})}