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  "Package": "jackknifeR",
  "Title": "Delete-d Jackknife for Point and Interval Estimation",
  "Version": "2.0.0",
  "Authors@R": "person(\"S.\", \"Mohanasundaram\", , \"s.mohanasundaram@outlook.com\", role = c(\"aut\", \"cre\"),\ncomment = \"ORCID = 0000-0003-4639-9419\")",
  "Description": "This function generates jackknife samples by\nsystematically leaving out d observations from the original\ndataset. It performs statistical estimation on each jackknife\nsample and computes jackknife statistics, including\ncoefficients, bias correction, standard errors, and confidence\nintervals. \\n The methodology builds upon the foundational work\nof Quenouille (1956) <doi:10.2307/2332914> and Tukey (1958)\n<doi:10.1214/aoms/1177706647> with extensions for dependent\ndata following Shi (1988) <doi:10.1016/0167-7152(88)90011-9>",
  "License": "GPL (>= 3)",
  "BugReports": "https://github.com/MohanasundaramS/jackknifeR/issues",
  "Encoding": "UTF-8",
  "Language": "en-US",
  "References": "Quenouille, M. H. (1956). Notes on bias in estimation.\nBiometrika, 43(3-4), 353-360.  Tukey, J. W. (1958). Bias and\nconfidence in not-quite large samples. Annals of Mathematical\nStatistics, 29(2), 614.  Shi, X. (1988). A note on the delete-1\njackknife variance estimators. Statistics & Probability\nLetters, 6(5), 341-347.  Efron, B., & Tibshirani, R. J. (1993).\nAn Introduction to the Bootstrap. Chapman & Hall.  Wu, C. F. J.\n(1986). Jackknife, bootstrap and other resampling methods in\nregression analysis. Annals of Statistics, 14(4), 1261-1295.",
  "Roxygen": "list(markdown = TRUE)",
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  "Repository": "https://mohanasundarams.r-universe.dev",
  "Date/Publication": "2025-04-16 14:07:50 UTC",
  "RemoteUrl": "https://github.com/mohanasundarams/jackknifer",
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  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-06-08 08:03:06 UTC",
    "User": "root"
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  "Author": "S. Mohanasundaram [aut, cre] (ORCID = 0000-0003-4639-9419)",
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      "page": "jackknife",
      "title": "Delete-d Jackknife for Estimates",
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