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
Author:	Zeinab Mashreghi [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

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