{ "_id": "6a103547acfb0bcc41c99a07", "Package": "CDsampling", "Type": "Package", "Title": "Constrained Sampling in Paid Research Studies", "Version": "0.1.6", "Authors@R": "c(person(given = \"Yifei\",\nfamily = \"Huang\",\nrole = c(\"aut\", \"cre\"),\nemail = \"yhuan39@uic.edu\"),\nperson(given = \"Liping\",\nfamily = \"Tong\",\nrole = \"aut\"),\nperson(given = \"Jie\",\nfamily = \"Yang\",\nrole = \"aut\"))", "Maintainer": "Yifei Huang ", "Description": "In the context of paid research studies and clinical\ntrials, budget considerations and patient sampling from\navailable populations are subject to inherent constraints. We\nintroduce the 'CDsampling' package, which integrates optimal\ndesign theories within the framework of constrained sampling.\nThis package offers the possibility to find both D-optimal\napproximate and exact allocations for samplings with or without\nconstraints. Additionally, it provides functions to find\nconstrained uniform sampling as a robust sampling strategy with\nlimited model information. Our package offers functions for the\ncomputation of the Fisher information matrix under generalized\nlinear models (including regular linear regression model) and\nmultinomial logistic models.To demonstrate the applications, we\nalso provide a simulated dataset and a real dataset embedded in\nthe package. Yifei Huang, Liping Tong, and Jie Yang\n(2025).", "License": "MIT + file LICENSE", "Encoding": "UTF-8", "LazyData": "true", "RoxygenNote": "7.3.1", "VignetteBuilder": "knitr", "Config/testthat/edition": "3", "NeedsCompilation": "no", "Packaged": { "Date": "2026-05-12 07:21:58 UTC", "User": "root" }, "Author": "Yifei Huang [aut, cre], Liping Tong [aut], Jie Yang [aut]", "Repository": "https://cran.r-universe.dev", "Date/Publication": "2025-04-05 15:20:11 UTC", "RemoteUrl": "https://github.com/cran/CDsampling", "RemoteRef": "HEAD", "RemoteSha": "8fbda2fddb836c4abd41ebfdc463673570fbef13", "MD5sum": "44f32a41619cc116b962dd887ee4ca71", "_user": "cran", "_type": "src", "_file": "CDsampling_0.1.6.tar.gz", "_fileid": "e6fcf701c6018d54786a35ac523490add5387a6a873d9d64e99431a10a9c5625", "_filesize": 241969, "_sha256": "e6fcf701c6018d54786a35ac523490add5387a6a873d9d64e99431a10a9c5625", "_created": "2026-05-12T07:21:58.000Z", "_published": "2026-05-22T10:51:51.765Z", "_distro": "noble", "_jobs": [ 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