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prnsamplr  

Permanent Random Number Sampling
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("prnsamplr", "1.1.0")



Attach the package and use:
library("prnsamplr")
Maintained by
Kira Coder Gylling
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-03-02
Latest Update: 2025-04-17
Description:
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) , and therein cited articles, 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.
How to cite:
Kira Coder Gylling (2019). prnsamplr: Permanent Random Number Sampling. R package version 1.1.0, https://cran.r-project.org/web/packages/prnsamplr. Accessed 11 Jun. 2026.
Previous versions and publish date:
0.1.0 (2019-03-02 18:50), 0.1.1 (2020-02-09 18:00), 0.2.0 (2021-01-11 13:20), 0.2.1 (2022-09-29 12:10), 0.3.0 (2023-03-08 12:00), 1.0.0 (2024-11-20 14:00)
Other packages that cited prnsamplr R package
View prnsamplr citation profile
Other R packages that prnsamplr depends, imports, suggests or enhances
Complete documentation for prnsamplr
Functions, R codes and Examples using the prnsamplr R package
Some associated functions: ExampleData . pps . prnsamplr-package . samp . srs . transformprn . 
Some associated R codes: pps.R . samp.R . srs.R . transf.R .  Full prnsamplr package functions and examples
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