Calculate point estimates and their standard errors in complex household surveys using bootstrap replicates. Bootstrapping considers survey design with a rotating panel. A comprehensive description of the methodology can be found under < https://statistikat.github.io/surveysd/articles/methodology.html>.
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.
Like any other R package on github, this package can be installed via
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.
More information can be found on the github-pages site for surveysd.
simPop::ipu2()and some related functions to surveysd.
draw.bootstrapto downstream functions
prettyNamesargument. update documenentation examples to use new variable names
vignettes/TheoryWord.Rmdinto a dynamic markdown file describing the methodology of the package