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  "Authors@R": "person(\"Megan\", \"Heyman\", email=\"heyman@rose-hulman.edu\", role=c(\"aut\",\"cre\"))",
  "Description": "Various efficient and robust bootstrap methods are\nimplemented for linear models with least squares estimation.\nFunctions within this package allow users to create bootstrap\nsampling distributions for model parameters, test hypotheses\nabout parameters, and visualize the bootstrap sampling or null\ndistributions.  Methods implemented for linear models include\nthe wild bootstrap by Wu (1986) <doi:10.1214/aos/1176350142>,\nthe residual and paired bootstraps by Efron (1979,\nISBN:978-1-4612-4380-9), the delete-1 jackknife by Quenouille\n(1956) <doi:10.2307/2332914>, and the Bayesian bootstrap by\nRubin (1981) <doi:10.1214/aos/1176345338>.",
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  "Repository": "https://meganheyman.r-universe.dev",
  "Date/Publication": "2019-12-17 05:44:29 UTC",
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  "Author": "Megan Heyman [aut, cre]",
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