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.

## Installation

# Install release version from CRAN
install.packages("surveysd")

# Install development version from GitHub
devtools::install_github("statistikat/surveysd")

## Concept

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.

## Workflow

A typical workflow with this package consists of three steps. To see these concepts in practice, please refer to the getting started vignette.

• Bootstrap samples are drawn with rescaled bootstrapping in the function draw.bootstrap().
• These samples can then be calibrated with an iterative proportional updating algorithm using recalib().
• Finally, estimation functions can be applied over all bootstrap replicates with calc.stError().