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This package provides bootstrap algorithms for Finite Population inference, for estimating the variance of the Horvitz–Thompson estimator.
To install the package from CRAN, run the following code in R:
Or, for the development version:
# if not present, install 'devtools' package
install.packages("devtools")
devtools::install_github("rhobis/bootstrapFP")library(bootstrapFP)
### Generate population data ---
N <- 20; n <- 5
x <- rgamma(N, scale=10, shape=5)
y <- abs( 2*x + 3.7*sqrt(x) * rnorm(N) )
pik <- n * x/sum(x)
### Draw a dummy sample ---
s <- sample(N, n)
### Estimate bootstrap variance ---
bootstrapFP(y = y[s], pik = n/N, B=100, method = "ppSitter")
bootstrapFP(y = y[s], pik = pik[s], B=10, method = "ppHolmberg", design = 'brewer')
bootstrapFP(y = y[s], pik = pik[s], B=10, D=10, method = "ppChauvet")
bootstrapFP(y = y[s], pik = n/N, B=10, method = "dRaoWu")
bootstrapFP(y = y[s], pik = n/N, B=10, method = "dSitter")
bootstrapFP(y = y[s], pik = pik[s], B=10, method = "dAntalTille_UPS", design='brewer')
bootstrapFP(y = y[s], pik = n/N, B=10, method = "wRaoWuYue")
bootstrapFP(y = y[s], pik = n/N, B=10, method = "wChipperfieldPreston")
bootstrapFP(y = y[s], pik = pik[s], B=10, method = "wGeneralised", distribution = 'normal')roberto.sichera@unipa.it.These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.