Package: StratifiedSampling Type: Package Title: Different Methods for Stratified Sampling Version: 0.4.2 Authors@R: c( person("Raphael", "Jauslin", email = "raphael.jauslin@bfs.admin.ch",role = c("aut", "cre"),comment = c(ORCID = "0000-0003-1088-3356")), person("Esther", "Eustache", email = "esther.eustache@unine.ch",role = c("aut")), person("Bardia", "Panahbehagh", email = "bardia.panahbehagh@unine.ch",role = c("aut"),comment = c(ORCID = "0000-0001-9122-7777")), person("Yves", "Tillé",role = c("aut"),comment = c(ORCID = "0000-0003-0904-5523")) ) Description: 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) . The package propose also a method based on optimal transport and balanced sampling, see Raphaël Jauslin and Yves Tillé . URL: https://github.com/RJauslin/StratifiedSampling BugReports: https://github.com/RJauslin/StratifiedSampling/issues License: GPL (>=2) Encoding: UTF-8 LinkingTo: RcppArmadillo, Rcpp Imports: Rcpp, transport, proxy, MASS, sampling, Rglpk Depends: Matrix, R (>= 3.5.0) Suggests: knitr, rmarkdown, BalancedSampling, stats, testthat, StatMatch, laeken, prettydoc, ggplot2, viridis, geojsonio, sf, rmapshaper RoxygenNote: 7.3.2 VignetteBuilder: knitr Config/pak/sysreqs: libglpk-dev Repository: https://rjauslin.r-universe.dev Date/Publication: 2025-01-31 12:36:42 UTC RemoteUrl: https://github.com/rjauslin/stratifiedsampling RemoteRef: HEAD RemoteSha: 605ff9bb49bee59e4386d5947e6a9a6c2b5bc6ca NeedsCompilation: yes Packaged: 2026-06-11 07:25:13 UTC; root Author: Raphael Jauslin [aut, cre] (ORCID: ), Esther Eustache [aut], Bardia Panahbehagh [aut] (ORCID: ), Yves Tillé [aut] (ORCID: ) Maintainer: Raphael Jauslin