{
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  "Package": "LongDecompHE",
  "Type": "Package",
  "Title": "Longitudinal Decomposition of Health Expectancy by Age and Cause",
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  "Authors@R": "c(\nperson(given = \"Huiping\", family = \"Zheng\", role = c(\"aut\", \"cre\"),\nemail = \"zhenghuiping@ruc.edu.cn\"),\nperson(given = \"Tao\", family = \"Sun\", role = \"aut\"),\nperson(given = \"Xiaojun\", family = \"Wang\", role = \"aut\"))",
  "Description": "Provides tools to decompose differences in cohort health\nexpectancy (HE) by age and cause using longitudinal data. The\npackage implements a novel longitudinal attribution method\nbased on a semiparametric additive hazards model with\ntime-dependent covariates, specifically designed to address\ninterval censoring and semi-competing risks via a copula\nframework. The resulting age-cause-specific contributions to\ndisability prevalence and death probability can be used to\nquantify and decompose differences in cohort HE between groups.\nThe package supports stepwise replacement decomposition\nalgorithms and is applicable to cohort-based health disparity\nresearch across diverse populations. Related methods include\nSun et al. (2023) <doi:10.1177/09622802221133552>.",
  "License": "GPL (>= 3)",
  "Encoding": "UTF-8",
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  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-07-16 06:28:38 UTC",
    "User": "root"
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  "Author": "Huiping Zheng [aut, cre], Tao Sun [aut], Xiaojun Wang [aut]",
  "Maintainer": "Huiping Zheng <zhenghuiping@ruc.edu.cn>",
  "Repository": "https://cran.r-universe.dev",
  "Date/Publication": "2025-07-03 15:20:02 UTC",
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    {
      "page": "Attribution_sullivan",
      "title": "Longitudinal Attribution of Disability and Death Based on Sullivan Method",
      "topics": [
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    },
    {
      "page": "attributionA",
      "title": "Attribution Results for Population A",
      "topics": [
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      "title": "Attribution Results for Population B",
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        "attributionB"
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      "title": "Copula regression models with semiparametric additive hazards margins for bivariate interval censoring and semi-competing risks.",
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      ]
    },
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      "title": "Decomposition Results Comparing Two Populations",
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      ]
    },
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      "title": "Two-dimensional decomposition of the difference between the two cohort HE by age and cause",
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    },
    {
      "page": "Plot.sullivan",
      "title": "Plot Attribution or Decomposition Results Using Sullivan Method",
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    },
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      "title": "Simulated Bivariate Semi-competing Risks Data (Set B)",
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      "title": "Summarizing outputs of a LongDecompHE object",
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