bootsurv: Bootstrap Methods for Complete Survey Data

Bootstrap resampling methods have been widely studied in the context of survey data. This package implements various bootstrap resampling techniques tailored for survey data, with a focus on stratified simple random sampling and stratified two-stage cluster sampling. It provides tools for precise and consistent bootstrap variance estimation for population totals, means, and quartiles. Additionally, it enables easy generation of bootstrap samples for in-depth analysis.

Version: 0.0.1
Depends: R (≥ 3.5.0)
Imports: MASS, stats
Published: 2024-05-17
DOI: 10.32614/CRAN.package.bootsurv
Author: Zeinab Mashreghi ORCID iD [aut, cre]
Maintainer: Zeinab Mashreghi <z.mashreghi at>
License: GPL-3
NeedsCompilation: no
CRAN checks: bootsurv results


Reference manual: bootsurv.pdf


Package source: bootsurv_0.0.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): bootsurv_0.0.1.tgz, r-oldrel (arm64): bootsurv_0.0.1.tgz, r-release (x86_64): bootsurv_0.0.1.tgz, r-oldrel (x86_64): bootsurv_0.0.1.tgz


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