This is the development place for the R-package surveysd
. The package
can be used to estimate the standard deviation of estimates in complex
surveys using bootstrap weights.
# Install release version from CRAN
install.packages("surveysd")
# Install development version from GitHub
devtools::install_github("statistikat/surveysd")
Bootstrapping has long been around and used widely to estimate confidence intervals and standard errors of point estimates. This package aims to combine all necessary steps for applying a calibrated bootstrapping procedure with custom estimating functions.
A typical workflow with this package consists of three steps. To see these concepts in practice, please refer to the getting started vignette.
ipf()
using
an iterative proportional updating algorithm.draw.bootstrap()
.recalib()
.calc.stError()
.More information can be found on the github-pages site for surveysd.
calc.stError()
is available
in the error estimation
vignette.Any scripts or data that you put into this service are public.
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