Package: prnsamplr 1.1.0

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.

Authors:Kira Coder Gylling [aut, cre]

prnsamplr_1.1.0.tar.gz
prnsamplr_1.1.0.zip(r-4.7-any)prnsamplr_1.1.0.zip(r-4.6-any)prnsamplr_1.1.0.zip(r-4.5-any)
prnsamplr_1.1.0.tgz(r-4.6-any)prnsamplr_1.1.0.tgz(r-4.5-any)
prnsamplr_1.1.0.tar.gz(r-4.7-any)prnsamplr_1.1.0.tar.gz(r-4.6-any)
prnsamplr_1.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
prnsamplr/json (API)

# Install 'prnsamplr' in R:
install.packages('prnsamplr', repos = c('https://kirajcg.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/kirajcg/prnsamplr/issues

Datasets:

On CRAN:

Conda:

2.70 score 1 stars 7 scripts 451 downloads 4 exports 1 dependencies

Last updated from:fcea64feea. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK109
source / vignettesOK127
linux-releaseOK114
macos-releaseOK79
macos-oldrelOK97
windows-develOK82
windows-releaseOK57
windows-oldrelOK76
wasm-releaseOK92

Exports:ppssampsrstransformprn

Dependencies:rlang