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bootsurv  

Bootstrap Methods for Complete Survey Data
View on CRAN: Click here


Download and install bootsurv package within the R console
Install from CRAN:
install.packages("bootsurv")

Install from Github:
library("remotes")
install_github("cran/bootsurv")

Install by package version:
library("remotes")
install_version("bootsurv", "0.0.1")



Attach the package and use:
library("bootsurv")
Maintained by
Zeinab Mashreghi
[Scholar Profile | Author Map]
First Published: 2024-05-17
Latest Update: 2024-05-17
Description:
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.
How to cite:
Zeinab Mashreghi (2024). bootsurv: Bootstrap Methods for Complete Survey Data. R package version 0.0.1, https://cran.r-project.org/web/packages/bootsurv. Accessed 30 Apr. 2025.
Previous versions and publish date:
No previous versions
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Complete documentation for bootsurv
Functions, R codes and Examples using the bootsurv R package
Full bootsurv package functions and examples
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