Different Methods for Stratified Sampling R package StratifiedSampling version 0.4.2 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>. Software 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 Raphael Jauslin <raphael.jauslin@bfs.admin.ch> Comprehensive R Archive Network (CRAN) Raphael Jauslin [aut, cre] (ORCID: <https://orcid.org/0000-0003-1088-3356>), Esther Eustache [aut], Bardia Panahbehagh [aut] (ORCID: <https://orcid.org/0000-0001-9122-7777>), Yves Tillé [aut] (ORCID: <https://orcid.org/0000-0003-0904-5523>) GPL (>= 2) 2025-01-31 application/tgz https://CRAN.R-project.org/package=StratifiedSampling doi:10.32614/CRAN.package.StratifiedSampling