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  "Package": "survobj",
  "Title": "Simulate Parametric and Semi-Parametric Survival Times with\nObject-Oriented Design",
  "Version": "3.2.0",
  "Authors@R": "person(\n\"Aponte\",\n\"John\",\nemail = \"john.j.aponte@gmail.com\",\nrole = c(\"aut\",\"cre\", \"cph\"),\ncomment = c(ORCID = \"0000-0002-3014-3673\"))",
  "Description": "Simulate parametric and semi-parametric survival times\nthrough a consistent, reusable interface for each distribution,\nusing an object-oriented design. Supported distributions\ninclude Exponential, Weibull, Gompertz, Log-Logistic,\nLog-Normal, and Piecewise Exponential. Random variates can be\ngenerated under Proportional Hazards, Accelerated Failure Time,\nand Extended Hazards models, as well as under renewal and\nnon-homogeneous Poisson recurrent event processes, following\nthe methods described by Bender (2003)\n<doi:10.5282/UBM/EPUB.1716> and Leemis (1987) in Operations\nResearch, 35(6), 892-894.",
  "License": "GPL (>= 3)",
  "Encoding": "UTF-8",
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  "Date/Publication": "2026-09-20 16:19:22 UTC",
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    "dtom",
    "dtoy",
    "ggplot_survival_aft",
    "ggplot_survival_eh",
    "ggplot_survival_hr",
    "ggplot_survival_random",
    "hfx",
    "invCum_Hfx",
    "is_single_number",
    "mtod",
    "mtoy",
    "nhppaft",
    "nhpphr",
    "plot_survival",
    "renewaft",
    "renewhr",
    "rsurv",
    "rsurvaft",
    "rsurveh",
    "rsurvhr",
    "s_exponential",
    "s_factory",
    "s_gompertz",
    "s_loglogistic",
    "s_lognormal",
    "s_piecewise",
    "s_weibull",
    "sfx",
    "ytod",
    "ytom"
  ],
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    {
      "page": "censor_event",
      "title": "Censor of events",
      "topics": [
        "censor_event",
        "censor_time"
      ]
    },
    {
      "page": "fx_h_time",
      "title": "Functions to help in time conversion",
      "topics": [
        "dtom",
        "dtoy",
        "fx_h_time",
        "mtod",
        "mtoy",
        "ytod",
        "ytom"
      ]
    },
    {
      "page": "is_single_number",
      "title": "Confirm is a single number",
      "topics": [
        "is_single_number"
      ]
    },
    {
      "page": "nhpp",
      "title": "Generate random recurrent episodes under a non-homogeneous Poisson process",
      "topics": [
        "nhpp",
        "nhppaft",
        "nhpphr"
      ]
    },
    {
      "page": "renewal",
      "title": "Generate random recurrent episodes under a renewal Poisson process",
      "topics": [
        "renewaft",
        "renewal",
        "renewhr"
      ]
    },
    {
      "page": "s_exponential",
      "title": "Factory of SURVIVAL objects with Exponential distributions",
      "topics": [
        "s_exponential"
      ]
    },
    {
      "page": "s_factory",
      "title": "Factory of objects of class SURVIVAL",
      "topics": [
        "s_factory"
      ]
    },
    {
      "page": "s_gompertz",
      "title": "Factory of SURVIVAL objects with Gompertz distributions",
      "topics": [
        "s_gompertz"
      ]
    },
    {
      "page": "s_loglogistic",
      "title": "Factory of SURVIVAL objects with Log Logistic distributions",
      "topics": [
        "s_loglogistic"
      ]
    },
    {
      "page": "s_lognormal",
      "title": "Factory of SURVIVAL objects with Log Normal distributions",
      "topics": [
        "s_lognormal"
      ]
    },
    {
      "page": "s_piecewise",
      "title": "Factory of SURVIVAL objects with Piecewise Exponential distributions",
      "topics": [
        "s_piecewise"
      ]
    },
    {
      "page": "s_weibull",
      "title": "Factory of SURVIVAL objects with Weibull distributions",
      "topics": [
        "s_weibull"
      ]
    },
    {
      "page": "SURVIVAL",
      "title": "Functions for SURVIVAL objects",
      "topics": [
        "compare_survival",
        "Cum_Hfx",
        "ggplot_survival_aft",
        "ggplot_survival_eh",
        "ggplot_survival_hr",
        "ggplot_survival_random",
        "hfx",
        "invCum_Hfx",
        "plot_survival",
        "rsurv",
        "rsurvaft",
        "rsurveh",
        "rsurvhr",
        "sfx"
      ]
    }
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