{ "_id": "6a2690ad24555f66ed51ba78", "Package": "StratifiedSampling", "Type": "Package", "Title": "Different Methods for Stratified Sampling", "Version": "0.4.2", "Authors@R": "c(\nperson(\"Raphael\", \"Jauslin\", email = \"raphael.jauslin@bfs.admin.ch\",role = c(\"aut\", \"cre\"),comment = c(ORCID = \"0000-0003-1088-3356\")),\nperson(\"Esther\", \"Eustache\", email = \"esther.eustache@unine.ch\",role = c(\"aut\")),\nperson(\"Bardia\", \"Panahbehagh\", email = \"bardia.panahbehagh@unine.ch\",role = c(\"aut\"),comment = c(ORCID = \"0000-0001-9122-7777\")),\nperson(\"Yves\", \"Tillé\",role = c(\"aut\"),comment = c(ORCID = \"0000-0003-0904-5523\"))\n)", "Description": "Integrating a stratified structure in the population in a\nsampling design can considerably reduce the variance of the\nHorvitz-Thompson estimator. We propose in this package\ndifferent methods to handle the selection of a balanced sample\nin stratified population. For more details see Raphaël Jauslin,\nEsther Eustache and Yves Tillé (2021)\n. The package propose also a\nmethod based on optimal transport and balanced sampling, see\nRaphaël Jauslin and Yves Tillé\n.", "URL": "https://github.com/RJauslin/StratifiedSampling", "BugReports": "https://github.com/RJauslin/StratifiedSampling/issues", "License": "GPL (>= 2)", "Encoding": "UTF-8", "RoxygenNote": "7.3.2", "VignetteBuilder": "knitr", "NeedsCompilation": "yes", "Packaged": { "Date": "2026-06-08 09:46:30 UTC", "User": "root" }, "Author": "Raphael Jauslin [aut, cre]\n(), Esther Eustache\n[aut], Bardia Panahbehagh [aut]\n(), Yves Tillé [aut]\n()", "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", "MD5sum": "50a7845f2cb221879d8280a7acf1cba3", "_user": "cran", "_type": "src", "_file": "StratifiedSampling_0.4.2.tar.gz", "_fileid": 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