bootweights {survey} | R Documentation |
Bootstrap weights for infinite populations are created by sampling with replacement from the PSUs in each stratum. For finite populations an empirical population is created as described by Canty and Davision (1999). The bootstrap is primarily useful when most strata have many PSUs.
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.
bootweights(strata, psu, replicates = 50, fpc = NULL, fpctype = c("population", "fraction", "correction"), compress = TRUE)
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? |
A set of replicate weights
Canty AJ, Davison AC. (1999) Resampling-based variance estimation for labour force surveys. The Statistician 48:379-391