R: Simple clustered bootstrap.

boot_grf {grf} | R Documentation

## Simple clustered bootstrap.

### Description

Inspired by the 'boot' function in the bootstrap package with clusters + half-sampling added. A future TODO could be to add parallel (not necessarily worth it) https://stat.ethz.ch/R-manual/R-devel/library/parallel/doc/parallel.pdf

### Usage

    boot_grf(data, statistic, R, clusters, half.sample = TRUE, ...)

### Arguments

`data` | A data frame with the original data.
`statistic` | A function computing estimate(s) with signature (data, indices, ...) where data is the original data, and indices a vector which defines the bootstrap sample.
`R` | The number of bootstrap replications.
`clusters` | Integer vector of cluster assignment, setting to 1:N corresponds to an ordinary unclustered bootstrap.
`half.sample` | Whether to do half sample bootstrap (half the clusters are drawn). Default is TRUE.
`...` | Additional arguments passed on to statistic.

### Value

A list with the original estimate t0, and bootstrap estimates t.

### References

Angelo Canty and Brian Ripley (2021). boot: Bootstrap R (S-Plus) Functions.

[Package grf version 2.1.0 Index]