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prnsamplr: Permanent Random Number Sampling

Survey sampling using permanent random numbers (PRN's). A solution to the problem of unknown overlap between survey samples, which leads to a low precision in estimates when the survey is repeated or combined with other surveys. The PRN solution is to supply the U(0, 1) random numbers to the sampling procedure, instead of having the sampling procedure generate them. In Lindblom (2014) <doi:10.2478/jos-2014-0047>, and therein cited papers, it is shown how this is carried out and how it improves the estimates. This package supports two common fixed-size sampling procedures (simple random sampling and probability-proportional-to-size sampling) and includes a function for transforming the PRN's in order to control the sample overlap.

Version:1.1.0
Depends:R (≥ 4.2)
Imports:rlang (≥ 1.1.0), stats (≥ 4.2)
Suggests:data.table (≥ 1.0.0),stringr (≥ 1.4.0),testthat (≥3.0.0),tibble (≥ 3.0.0)
Published:2025-04-17
DOI:10.32614/CRAN.package.prnsamplr
Author:Kira Coder GyllingORCID iD [aut, cre]
Maintainer:Kira Coder Gylling <kira.gylling at gmail.com>
License:MIT + fileLICENSE
NeedsCompilation:no
Materials:README
In views:OfficialStatistics
CRAN checks:prnsamplr results

Documentation:

Reference manual:prnsamplr.html ,prnsamplr.pdf

Downloads:

Package source: prnsamplr_1.1.0.tar.gz
Windows binaries: r-devel:prnsamplr_1.1.0.zip, r-release:prnsamplr_1.1.0.zip, r-oldrel:prnsamplr_1.1.0.zip
macOS binaries: r-release (arm64):prnsamplr_1.1.0.tgz, r-oldrel (arm64):prnsamplr_1.1.0.tgz, r-release (x86_64):prnsamplr_1.1.0.tgz, r-oldrel (x86_64):prnsamplr_1.1.0.tgz
Old sources: prnsamplr archive

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=prnsamplrto link to this page.


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