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  "Package": "kosel",
  "Title": "Variable Selection by Revisited Knockoffs Procedures",
  "Version": "0.0.1",
  "Authors@R": "c(person(\"Clemence\", \"Karmann\", email = \"clemence.karmann@gmail.com\", role = c(\"aut\",\"cre\")),person(\"Aurelie\", \"Gueudin\", email = \"aurelie.gueudin@univ-lorraine.fr\", role = c(\"aut\")))",
  "Description": "Performs variable selection for many types of\nL1-regularised regressions using the revisited knockoffs\nprocedure. This procedure uses a matrix of knockoffs of the\ncovariates independent from the response variable Y. The idea\nis to determine if a covariate belongs to the model depending\non whether it enters the model before or after its knockoff.\nThe procedure suits for a wide range of regressions with\nvarious types of response variables. Regression models\navailable are exported from the R packages 'glmnet' and\n'ordinalNet'. Based on the paper linked to via the URL below:\nGegout A., Gueudin A., Karmann C. (2019) <arXiv:1907.03153>.",
  "URL": "https://arxiv.org/pdf/1907.03153.pdf",
  "License": "GPL-3",
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  "Packaged": {
    "Date": "2026-09-25 09:47:34 UTC",
    "User": "root"
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  "Author": "Clemence Karmann [aut, cre], Aurelie Gueudin [aut]",
  "Maintainer": "Clemence Karmann <clemence.karmann@gmail.com>",
  "Repository": "https://cran.r-universe.dev",
  "Date/Publication": "2019-07-18 09:44:06 UTC",
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      "title": "Statistics of the knockoffs procedure for glmnet regression models.",
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