StratifiedSampling: Different Methods for Stratified Sampling

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 [aut, cre], Esther Eustache [aut], Bardia Panahbehagh [aut], Yves Tillé [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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