bootstrap_incidence: Bootstrap incidence time series

In incidence2: Compute, Handle and Plot Incidence of Dated Events

Bootstrap incidence time series

Description

This function can be used to bootstrap incidence2 objects. Bootstrapping is done by sampling with replacement the original input dates.

Usage

bootstrap_incidence(x, randomise_groups = FALSE)

Arguments

x	An incidence2 object.
randomise_groups	bool. Should groups 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.

Details

As original data are not stored in incidence2 objects, the bootstrapping is achieved by multinomial sampling of date bins weighted by their relative incidence.

Value

An incidence2 object.

Author(s)

Thibaut Jombart, Tim Taylor

Examples

if (requireNamespace("outbreaks", quietly = TRUE)) {
    data(fluH7N9_china_2013, package = "outbreaks")
    i <- incidence(
        fluH7N9_china_2013,
        date_index = "date_of_onset",
        groups = "gender"
   )
   bootstrap_incidence(i)
}

incidence2 documentation built on Oct. 7, 2024, 1:07 a.m.