doi:10.1007/s42081-021-00134-y>. The package propose also a method based on optimal transport and balanced sampling, see Raphaël Jauslin and Yves Tillé <doi:10.1016/j.jspi.2022.12.003>.">

StratifiedSampling: Different Methods for Stratified Sampling (original) (raw)

Integrating a stratified structure in the population in a sampling design can considerably reduce the variance of the Horvitz-Thompson estimator. We propose in this package different methods to handle the selection of a balanced sample in stratified population. For more details see Raphaël Jauslin, Esther Eustache and Yves Tillé (2021) <doi:10.1007/s42081-021-00134-y>. The package propose also a method based on optimal transport and balanced sampling, see Raphaël Jauslin and Yves Tillé <doi:10.1016/j.jspi.2022.12.003>.

Version: 0.4.2
Depends: Matrix, R (≥ 3.5.0)
Imports: Rcpp, transport, proxy, MASS, sampling, Rglpk
LinkingTo: RcppArmadillo, Rcpp
Suggests: knitr, rmarkdown, BalancedSampling, stats, testthat, StatMatch, laeken, prettydoc, ggplot2, viridis, geojsonio, sf, rmapshaper
Published: 2025-01-31
DOI: 10.32614/CRAN.package.StratifiedSampling
Author: Raphael Jauslin ORCID iD [aut, cre], Esther Eustache [aut], Bardia PanahbehaghORCID iD [aut], Yves Tillé ORCID iD [aut]
Maintainer: Raphael Jauslin <raphael.jauslin at bfs.admin.ch>
BugReports: https://github.com/RJauslin/StratifiedSampling/issues
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://github.com/RJauslin/StratifiedSampling
NeedsCompilation: yes
Materials: README, NEWS
CRAN checks: StratifiedSampling results

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