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 resultsRetroSearch is an open source project built by @garambo | Open a GitHub Issue
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