{
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  "Package": "intsurv",
  "Title": "Integrative Survival Modeling",
  "Version": "0.3.0",
  "Authors@R": "c(\nperson(given = \"Wenjie\", family = \"Wang\",\nemail = \"wang@wwenjie.org\",\nrole = c(\"aut\", \"cre\"),\ncomment = c(ORCID = \"0000-0003-0363-3180\")),\nperson(given = \"Kun\", family = \"Chen\", role = \"ths\",\ncomment = c(ORCID = \"0000-0003-3579-5467\")),\nperson(given = \"Jun\", family = \"Yan\", role = \"ths\",\ncomment = c(ORCID = \"0000-0003-4401-7296\"))\n)",
  "Description": "Contains implementations of the integrative Cox model with\nuncertain event times proposed by Wang, et al. (2020)\n<doi:10.1214/19-AOAS1287>, the regularized Cox cure rate model\nwith uncertain event status proposed by Wang, et al. (2023)\n<doi:10.1007/s12561-023-09374-w>, and other survival analysis\nroutines including the Cox cure rate model proposed by Kuk and\nChen (1992) <doi:10.1093/biomet/79.3.531> via an EM algorithm\nproposed by Sy and Taylor (2000)\n<doi:10.1111/j.0006-341X.2000.00227.x>, the regularized Cox\ncure rate model with elastic net penalty following Masud et al.\n(2018) <doi:10.1177/0962280216677748>.",
  "License": "GPL (>= 3)",
  "Collate": "'RcppExports.R' 'class.R' 'Survi.R' 'assessment.R' 'bootSe.R'\n'coef.R' 'cox_cure.R' 'cox_cure_net.R' 'iCoxph.R'\n'intsurv-package.R' 'misc.R' 'prep_model.R' 'print.R' 'show.R'\n'simData4cure.R' 'simData4iCoxph.R' 'summary.R'",
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  "Author": "Wenjie Wang [aut, cre] (ORCID:\n<https://orcid.org/0000-0003-0363-3180>), Kun Chen [ths]\n(ORCID: <https://orcid.org/0000-0003-3579-5467>), Jun Yan [ths]\n(ORCID: <https://orcid.org/0000-0003-4401-7296>)",
  "Maintainer": "Wenjie Wang <wang@wwenjie.org>",
  "Repository": "https://cran.r-universe.dev",
  "Date/Publication": "2025-09-29 02:40:02 UTC",
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    "coef",
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    "cox_cure_net.fit",
    "cox_cure_net.penalty",
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    "cox_cure.fit",
    "cox_cure.mstep",
    "iCoxph",
    "iCoxph.control",
    "iCoxph.start",
    "show",
    "simData4cure",
    "simData4iCoxph",
    "summary",
    "Survi"
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      "page": "BIC.cox_cure",
      "title": "Bayesian Information Criterion (BIC)",
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        "BIC.cox_cure",
        "BIC.cox_cure_uncer"
      ]
    },
    {
      "page": "BIC.cox_cure_net",
      "title": "Bayesian Information Criterion (BIC)",
      "topics": [
        "BIC.cox_cure_net",
        "BIC.cox_cure_net_uncer"
      ]
    },
    {
      "page": "bootSe",
      "title": "Standard Error Estimates through Bootstrap",
      "topics": [
        "bootSe"
      ]
    },
    {
      "page": "cIndex",
      "title": "Concordance Index",
      "topics": [
        "cIndex"
      ]
    },
    {
      "page": "coef-iCoxph-method",
      "title": "Estimated Covariates Coefficients",
      "topics": [
        "coef,iCoxph-method",
        "coef.iCoxph"
      ]
    },
    {
      "page": "coef.cox_cure",
      "title": "Estimated Covariate Coefficients",
      "topics": [
        "coef.cox_cure",
        "coef.cox_cure_uncer"
      ]
    },
    {
      "page": "coef.cox_cure_net",
      "title": "Estimated Covariate Coefficients",
      "topics": [
        "coef.cox_cure_net",
        "coef.cox_cure_net_uncer"
      ]
    },
    {
      "page": "cox_cure",
      "title": "Cox Cure Rate Model",
      "topics": [
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        "cox_cure.control",
        "cox_cure.fit",
        "cox_cure.mstep"
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    },
    {
      "page": "cox_cure_net",
      "title": "Regularied Cox Cure Rate Model with Elastic-Net Penalty",
      "topics": [
        "cox_cure_net",
        "cox_cure_net.fit",
        "cox_cure_net.penalty"
      ]
    },
    {
      "page": "iCoxph",
      "title": "Integrative Cox Model for Uncertain Event Times",
      "topics": [
        "iCoxph"
      ]
    },
    {
      "page": "iCoxph-class",
      "title": "An S4 Class to Represent a Fitted Integrative Cox Model",
      "topics": [
        "iCoxph-class"
      ]
    },
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      "topics": [
        "iCoxph.control"
      ]
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      "title": "Auxiliary for Starting iCoxph Fitting",
      "topics": [
        "iCoxph.start"
      ]
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        "show,summary.iCoxph-method",
        "show-method"
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      ]
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