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 NeedsCompilation: yes Packaged: 2026-11-04 08:38:36 UTC; root Author: Raphael Jauslin [aut, cre] (), Esther Eustache [aut], Bardia Panahbehagh [aut] (), Yves Tillé [aut] () Maintainer: Raphael Jauslin Repository: https://cran.r-universe.dev Date/Publication: 2025-01-31 16:20:02 UTC RemoteUrl: https://github.com/cran/StratifiedSampling RemoteRef: HEAD RemoteSha: 5247c1cad608633ae93856402ea097e104a4e629