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  "Title": "Higher Criticism Tests for Non-Proportional Hazard Deviations",
  "Version": "0.1.0",
  "Authors@R": "c(\nperson(\"Alon\", \"Kipnis\", email = \"alonkipnis@gmail.com\",\nrole = c(\"aut\", \"cre\")),\nperson(\"Ben\", \"Galili\", role = \"aut\"),\nperson(\"Zohar\", \"Yakhini\", role = \"aut\"))",
  "Description": "Implements omnibus tests for comparing two right-censored\nsurvival samples that are powerful against sparse departures\nfrom equal hazards, where the hazard difference is concentrated\nin a small and a priori unknown subset of the follow-up. Exact\nhypergeometric p-values are computed for each time interval and\naggregated with the Higher Criticism statistic of Donoho and\nJin (2004) <doi:10.1214/009053604000000265>, or alternatively\nwith the Berk-Jones, Fisher or minimum-p statistics. Global\np-values are obtained by permuting group labels, and the\nintervals driving a detection can be recovered for diagnostic\nplotting. Tests accept either two samples as vectors or the\nusual survival formula. The method is described in Kipnis,\nGalili and Yakhini (2026) <doi:10.1093/biomet/asaf075>, and the\ncompanion application note is Kipnis, Galili and Yakhini (2026)\n<doi:10.48550/arXiv.2610.07268>.",
  "License": "MIT + file LICENSE",
  "Encoding": "UTF-8",
  "URL": "https://github.com/alonkipnis/lifelines-hc/tree/main/R-package/survHC",
  "BugReports": "https://github.com/alonkipnis/lifelines-hc/issues",
  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-10-22 10:10:44 UTC",
    "User": "root"
  },
  "Author": "Alon Kipnis [aut, cre], Ben Galili [aut], Zohar Yakhini [aut]",
  "Maintainer": "Alon Kipnis <alonkipnis@gmail.com>",
  "Repository": "https://alonkipnis.r-universe.dev",
  "Date/Publication": "2026-10-21 17:20:02 UTC",
  "RemoteUrl": "https://github.com/cran/survHC",
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  "_expires": "2027-01-30T10:14:21.000Z",
  "_created": "2026-10-22T10:10:44.000Z",
  "_published": "2026-10-22T10:14:23.840Z",
  "_upstream": "https://github.com/cran/survHC",
  "_status": "success",
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    "email": "alonkipnis@gmail.com",
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    "event_pvalues",
    "fisher_combination_test",
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      "page": "berk_jones_test",
      "title": "Berk-Jones test for non-proportional hazard deviations",
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        "berk_jones_test.default",
        "berk_jones_test.formula"
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      "page": "event_pvalues",
      "title": "Per-interval hypergeometric p-values",
      "topics": [
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        "event_pvalues.default",
        "event_pvalues.formula"
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        "fisher_combination_test.default",
        "fisher_combination_test.formula"
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      "title": "Higher Criticism test for non-proportional hazard deviations",
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        "higher_criticism_test.default",
        "higher_criticism_test.formula"
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        "min_p_test.default",
        "min_p_test.formula"
      ]
    },
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      "page": "plot_pvalue_profile",
      "title": "Plot the per-interval p-value profile",
      "topics": [
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        "plot_pvalue_profile.default",
        "plot_pvalue_profile.formula"
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    },
    {
      "page": "suspected_deviations",
      "title": "Intervals with suspected non-proportional hazard deviations",
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        "suspected_deviations.default",
        "suspected_deviations.formula"
      ]
    }
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