{
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  "Package": "jmBIG",
  "Type": "Package",
  "Title": "Joint Longitudinal and Survival Model for Big Data",
  "Version": "0.1.3",
  "Authors@R": "c(person((\"Atanu\"), \"Bhattacharjee\",\nemail=\"atanustat@gmail.com\",\nrole=c(\"aut\", \"cre\",\"ctb\")),\nperson((\"Bhrigu Kumar\"), \"Rajbongshi\", role=c(\"aut\",\"ctb\")),\nperson((\"Gajendra K\"), \"Vishwakarma\", role=c(\"aut\",\"ctb\")))",
  "Maintainer": "Atanu Bhattacharjee <atanustat@gmail.com>",
  "Description": "Provides analysis tools for big data where the sample size\nis very large. It offers a suite of functions for fitting and\npredicting joint models, which allow for the simultaneous\nanalysis of longitudinal and time-to-event data. This\nstatistical methodology is particularly useful in medical\nresearch where there is often interest in understanding the\nrelationship between a longitudinal biomarker and a clinical\noutcome, such as survival or disease progression. This can be\nparticularly useful in a clinical setting where it is important\nto be able to predict how a patient's health status may change\nover time. Overall, this package provides a comprehensive set\nof tools for joint modeling of BIG data obtained as survival\nand longitudinal outcomes with both Bayesian and non-Bayesian\napproaches. Its versatility and flexibility make it a valuable\nresource for researchers in many different fields, particularly\nin the medical and health sciences.",
  "License": "GPL-3",
  "Encoding": "UTF-8",
  "LazyData": "true",
  "RoxygenNote": "7.3.1",
  "NeedsCompilation": "no",
  "Author": "Atanu Bhattacharjee [aut, cre, ctb], Bhrigu Kumar Rajbongshi\n[aut, ctb], Gajendra K Vishwakarma [aut, ctb]",
  "Packaged": {
    "Date": "2026-06-12 08:12:10 UTC",
    "User": "root"
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  "Repository": "https://atanubhattacharjee.r-universe.dev",
  "Date/Publication": "2025-01-19 21:28:41 UTC",
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  "_created": "2026-06-12T08:12:10.000Z",
  "_published": "2026-06-12T08:18:40.848Z",
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    "jmbayesBig",
    "jmcsBig",
    "jmstanBig",
    "joinRMLBig",
    "plot_cisurvfitJMCS",
    "postSurvfit",
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    "survfitJMCS"
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      ],
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        "x5",
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      ],
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      "table": true,
      "tojson": true
    }
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      "page": "cisurvfitJMCS",
      "title": "Bootstrapped CI using 'FastJM'",
      "topics": [
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      ]
    },
    {
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      "title": "Joint model for BIG data using JMbayes2",
      "topics": [
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      ]
    },
    {
      "page": "jmcsBig",
      "title": "Joint model for BIG data using FastJM",
      "topics": [
        "jmcsBig"
      ]
    },
    {
      "page": "jmstanBig",
      "title": "Joint model for BIG data using rstanarm",
      "topics": [
        "jmstanBig"
      ]
    },
    {
      "page": "joinRMLBig",
      "title": "Joint model for BIG data using joineRML",
      "topics": [
        "joinRMLBig"
      ]
    },
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      "page": "long2",
      "title": "longitudinal data",
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        "long2"
      ]
    },
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      "page": "longsurv",
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      "topics": [
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    },
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