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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 uwinnipeg.ca>
License: GPL-3
NeedsCompilation: no
CRAN checks: bootsurv results

Documentation:

Reference manual: bootsurv.pdf

Downloads:

Package source: bootsurv_0.0.1.tar.gz
Windows binaries: r-devel: bootsurv_0.0.1.zip, r-release: bootsurv_0.0.1.zip, r-oldrel: bootsurv_0.0.1.zip
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

Linking:

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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.
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