bootweights {survey} | R Documentation

## Compute survey bootstrap weights

### Description

Bootstrap weights for infinite populations are created by sampling with replacement from the PSUs in each stratum. `subbootweights()` samples `n-1` PSUs from the `n` available (Rao and Wu), `bootweights` samples `n` (Canty and Davison).

`bootweights()` is most useful when the strata are large and may have large sampling fractions, `subbootweights()` is useful when the strata have a small number of PSUs and the sampling fractions are small.

This bootstrap is strictly appropriate only when the first stage of sampling is a simple or stratified random sample of PSUs with or without replacement, and not (eg) for PPS sampling.

### Usage

    bootweights(strata, psu, replicates = 50, fpc = NULL,
             fpctype = c("population", "fraction", "correction"),
             compress = TRUE)
    subbootweights(strata, psu, replicates = 50,
             compress = TRUE)

### Arguments

`strata` | Identifier for sampling strata (top level)
`psu` | Identifier for primary sampling units
`replicates` | Number of bootstrap replicates
`fpc` | Finite population correction
`fpctype` | Is `fpc` the population size, sampling fraction, or 1-sampling fraction?
`compress` | Should the replicate weights be compressed?

### Value

A set of replicate weights

### References

Canty AJ, Davison AC. (1999) Resampling-based variance estimation for labour force surveys. The Statistician 48:379-391

Rao JNK, Wu CFJ. Bootstrap inference for sample surveys. Proc Section on Survey Research Methodology. 1993 (866–871)

### See Also

`as.svrepdesign`

[Package survey version 3.19 Index]