{
  "_id": "6a105410acfb0bcc41ca1f84",
  "Package": "PERSUADE",
  "Title": "Parametric Survival Model Selection for Decision-Analytic Models",
  "Version": "0.1.2",
  "Authors@R": "c(\nperson(\"Bram\", \"Ramaekers\", , \"bram.ramaekers@mumc.nl\", role = c(\"aut\", \"cre\", \"ths\"),\ncomment = c(ORCID = \"0000-0001-5785-9228\")),\nperson(\"Xavier\", \"Pouwels\", role = \"ctb\",\ncomment = c(ORCID = \"0000-0003-3563-0013\")),\nperson(\"Sabine\", \"Grimm\", role = \"ths\",\ncomment = c(ORCID = \"0000-0002-2175-7999\")),\nperson(\"Manuela\", \"Joore\", role = \"ths\",\ncomment = c(ORCID = \"0000-0002-5649-6768\"))\n)",
  "Description": "Provides a standardized framework to support the selection\nand evaluation of parametric survival models for time-to-event\ndata. Includes tools for visualizing survival data, checking\nproportional hazards assumptions (Grambsch and Therneau, 1994,\n<doi:10.1093/biomet/81.3.515>), comparing parametric (Ishak and\ncolleagues, 2013, <doi:10.1007/s40273-013-0064-3>), spline\n(Royston and Parmar, 2002, <doi:10.1002/sim.1203>) and cure\nmodels, examining hazard functions, and evaluating model\nextrapolation. Methods are consistent with recommendations in\nthe NICE Decision Support Unit Technical Support Documents (14\nand 21\n<https://sheffield.ac.uk/nice-dsu/tsds/survival-analysis>).\nResults are structured to facilitate integration into\ndecision-analytic models, and reports can be generated with\n'rmarkdown'. The package builds on existing tools including\n'flexsurv' (Jackson, 2016, <doi:10.18637/jss.v070.i08>)) and\n'flexsurvcure' for estimating cure models.",
  "License": "GPL (>= 3)",
  "URL": "https://github.com/Bram-R/PERSUADE",
  "BugReports": "https://github.com/Bram-R/PERSUADE/issues",
  "VignetteBuilder": "knitr",
  "Config/testthat/edition": "3",
  "Encoding": "UTF-8",
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  "RoxygenNote": "7.3.2",
  "Config/pak/sysreqs": "cmake make libicu-dev libjpeg-dev libpng-dev\nlibuv1-dev libxml2-dev libssl-dev",
  "Repository": "https://bram-r.r-universe.dev",
  "Date/Publication": "2025-10-10 14:13:48 UTC",
  "RemoteUrl": "https://github.com/bram-r/persuade",
  "RemoteRef": "HEAD",
  "RemoteSha": "8b2a8c510d058152c11485657cc05540d64ecb09",
  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-05-09 08:44:58 UTC",
    "User": "root"
  },
  "Author": "Bram Ramaekers [aut, cre, ths] (ORCID:\n<https://orcid.org/0000-0001-5785-9228>),\nXavier Pouwels [ctb] (ORCID: <https://orcid.org/0000-0003-3563-0013>),\nSabine Grimm [ths] (ORCID: <https://orcid.org/0000-0002-2175-7999>),\nManuela Joore [ths] (ORCID: <https://orcid.org/0000-0002-5649-6768>)",
  "Maintainer": "Bram Ramaekers <bram.ramaekers@mumc.nl>",
  "MD5sum": "51c85f1d4543de1c372f05edfe5ba4ae",
  "_user": "bram-r",
  "_type": "src",
  "_file": "PERSUADE_0.1.2.tar.gz",
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  "_filesize": 578890,
  "_sha256": "35fb16e98142f5d98f30db9676f925bcff173d37543c4f7d57c0baf37302356d",
  "_created": "2026-05-09T08:44:58.000Z",
  "_published": "2026-05-22T13:03:12.801Z",
  "_distro": "noble",
  "_jobs": [
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  "_buildurl": "https://github.com/r-universe/bram-r/actions/runs/25596768287",
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  "_dependencies": [
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    },
    {
      "package": "data.table",
      "role": "Imports"
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    {
      "package": "flexsurv",
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    },
    {
      "package": "flexsurvcure",
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      "package": "ggplot2",
      "role": "Imports"
    },
    {
      "package": "muhaz",
      "role": "Imports"
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      "package": "rmarkdown",
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    {
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      "role": "Suggests"
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  "_owner": "bram-r",
  "_selfowned": true,
  "_usedby": 0,
  "_updates": [
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  "_tags": [
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    },
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  "_downloads": {
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    "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/PERSUADE"
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  "_devurl": "https://github.com/bram-r/persuade",
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  "_assets": [
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    "extra/citation.html",
    "extra/citation.json",
    "extra/citation.txt",
    "extra/contents.json",
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    "extra/NEWS.txt",
    "extra/PERSUADE.html",
    "extra/readme.html",
    "extra/readme.md",
    "manual.pdf"
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  "_homeurl": "https://github.com/bram-r/persuade",
  "_realowner": "bram-r",
  "_cranurl": true,
  "_releases": [
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      "version": "0.1.2",
      "date": "2025-10-09"
    }
  ],
  "_exports": [
    "f_cum_hazard",
    "f_generate_report",
    "f_get_excel_template",
    "f_hazard",
    "f_PERSUADE",
    "f_plot_cure_surv_extrap",
    "f_plot_cure_surv_model",
    "f_plot_diag_cure_surv_model",
    "f_plot_diag_param_surv_model",
    "f_plot_diag_spline_surv_model",
    "f_plot_hazard_cure_extrap",
    "f_plot_hazard_parametric_extrap",
    "f_plot_hazard_spline_extrap",
    "f_plot_hazard_with_models",
    "f_plot_km_survival",
    "f_plot_km_survival_base",
    "f_plot_log_cumhaz",
    "f_plot_param_surv_extrap",
    "f_plot_param_surv_model",
    "f_plot_schoenfeld_residuals",
    "f_plot_smoothed_hazard",
    "f_plot_spline_surv_extrap",
    "f_plot_spline_surv_model",
    "f_plot_tp_cure_surv_extrap",
    "f_plot_tp_cure_surv_model",
    "f_plot_tp_param_surv_extrap",
    "f_plot_tp_param_surv_model",
    "f_plot_tp_spline_surv_extrap",
    "f_plot_tp_spline_surv_model",
    "f_summary",
    "f_surv_model",
    "f_surv_model_excel",
    "f_surv_model_pred",
    "f_surv_model_pred_gr",
    "f_surv_model_pred_tp_gr",
    "f_tp"
  ],
  "_help": [
    {
      "page": "f_cum_hazard",
      "title": "Calculate Cumulative Hazard Estimates",
      "topics": [
        "f_cum_hazard"
      ]
    },
    {
      "page": "f_generate_report",
      "title": "Generate PDF Report for a PERSUADE Analysis",
      "topics": [
        "f_generate_report"
      ]
    },
    {
      "page": "f_get_excel_template",
      "title": "Copy Excel Template for Model Parameters",
      "topics": [
        "f_get_excel_template"
      ]
    },
    {
      "page": "f_hazard",
      "title": "Calculate Smoothed Hazard Estimates",
      "topics": [
        "f_hazard"
      ]
    },
    {
      "page": "f_PERSUADE",
      "title": "Main PERSUADE Function",
      "topics": [
        "f_PERSUADE"
      ]
    },
    {
      "page": "f_plot_cure_surv_extrap",
      "title": "Plot Extrapolated Cure Survival Models per Group",
      "topics": [
        "f_plot_cure_surv_extrap"
      ]
    },
    {
      "page": "f_plot_cure_surv_model",
      "title": "Cure Survival Model Overlay",
      "topics": [
        "f_plot_cure_surv_model"
      ]
    },
    {
      "page": "f_plot_diag_cure_surv_model",
      "title": "Diagnostic Plot for Cure Survival Models",
      "topics": [
        "f_plot_diag_cure_surv_model"
      ]
    },
    {
      "page": "f_plot_diag_param_surv_model",
      "title": "Diagnostic Plot for Parametric Survival Models",
      "topics": [
        "f_plot_diag_param_surv_model"
      ]
    },
    {
      "page": "f_plot_diag_spline_surv_model",
      "title": "Diagnostic Plot for Spline Survival Models",
      "topics": [
        "f_plot_diag_spline_surv_model"
      ]
    },
    {
      "page": "f_plot_hazard_cure_extrap",
      "title": "Plot Extrapolated Hazard Functions (Cure Models)",
      "topics": [
        "f_plot_hazard_cure_extrap"
      ]
    },
    {
      "page": "f_plot_hazard_parametric_extrap",
      "title": "Plot Extrapolated Hazard Functions (Parametric Models)",
      "topics": [
        "f_plot_hazard_parametric_extrap"
      ]
    },
    {
      "page": "f_plot_hazard_spline_extrap",
      "title": "Plot Extrapolated Hazard Functions (Spline Models)",
      "topics": [
        "f_plot_hazard_spline_extrap"
      ]
    },
    {
      "page": "f_plot_hazard_with_models",
      "title": "Hazard Plot with Model Overlays",
      "topics": [
        "f_plot_hazard_with_models"
      ]
    },
    {
      "page": "f_plot_km_survival",
      "title": "Plot Kaplan-Meier Survival Curves (ggsurvplot)",
      "topics": [
        "f_plot_km_survival"
      ]
    },
    {
      "page": "f_plot_km_survival_base",
      "title": "Plot Kaplan-Meier Survival Curves (Base R)",
      "topics": [
        "f_plot_km_survival_base"
      ]
    },
    {
      "page": "f_plot_log_cumhaz",
      "title": "Log-Log Survival Diagnostic Plot",
      "topics": [
        "f_plot_log_cumhaz"
      ]
    },
    {
      "page": "f_plot_param_surv_extrap",
      "title": "Plot Extrapolated Parametric Survival Models per Group",
      "topics": [
        "f_plot_param_surv_extrap"
      ]
    },
    {
      "page": "f_plot_param_surv_model",
      "title": "Parametric Survival Model Overlay",
      "topics": [
        "f_plot_param_surv_model"
      ]
    },
    {
      "page": "f_plot_schoenfeld_residuals",
      "title": "Schoenfeld Residuals Plot",
      "topics": [
        "f_plot_schoenfeld_residuals"
      ]
    },
    {
      "page": "f_plot_smoothed_hazard",
      "title": "Smoothed Hazard Function Plot",
      "topics": [
        "f_plot_smoothed_hazard"
      ]
    },
    {
      "page": "f_plot_spline_surv_extrap",
      "title": "Plot Extrapolated Spline Survival Models per Group",
      "topics": [
        "f_plot_spline_surv_extrap"
      ]
    },
    {
      "page": "f_plot_spline_surv_model",
      "title": "Spline Survival Model Overlay",
      "topics": [
        "f_plot_spline_surv_model"
      ]
    },
    {
      "page": "f_plot_tp_cure_surv_extrap",
      "title": "Plot Extrapolated Annual Transition Probabilities (Cure Models)",
      "topics": [
        "f_plot_tp_cure_surv_extrap"
      ]
    },
    {
      "page": "f_plot_tp_cure_surv_model",
      "title": "Plot Annual Transition Probabilities for Cure Survival Models",
      "topics": [
        "f_plot_tp_cure_surv_model"
      ]
    },
    {
      "page": "f_plot_tp_param_surv_extrap",
      "title": "Plot Extrapolated Annual Transition Probabilities (Parametric Models)",
      "topics": [
        "f_plot_tp_param_surv_extrap"
      ]
    },
    {
      "page": "f_plot_tp_param_surv_model",
      "title": "Plot Annual Transition Probabilities for Parametric Survival Models",
      "topics": [
        "f_plot_tp_param_surv_model"
      ]
    },
    {
      "page": "f_plot_tp_spline_surv_extrap",
      "title": "Plot Extrapolated Annual Transition Probabilities (Spline Models)",
      "topics": [
        "f_plot_tp_spline_surv_extrap"
      ]
    },
    {
      "page": "f_plot_tp_spline_surv_model",
      "title": "Plot Annual Transition Probabilities for Spline Survival Models",
      "topics": [
        "f_plot_tp_spline_surv_model"
      ]
    },
    {
      "page": "f_summary",
      "title": "Compute Summary Statistics for Numeric Variables",
      "topics": [
        "f_summary"
      ]
    },
    {
      "page": "f_surv_model",
      "title": "Fit Parametric Survival Models",
      "topics": [
        "f_surv_model"
      ]
    },
    {
      "page": "f_surv_model_excel",
      "title": "Prepare Excel-Ready Survival Model Output",
      "topics": [
        "f_surv_model_excel"
      ]
    },
    {
      "page": "f_surv_model_pred",
      "title": "Predict from Survival Models",
      "topics": [
        "f_surv_model_pred"
      ]
    },
    {
      "page": "f_surv_model_pred_gr",
      "title": "Group Predictions by Survival Model",
      "topics": [
        "f_surv_model_pred_gr"
      ]
    },
    {
      "page": "f_surv_model_pred_tp_gr",
      "title": "Compute Transition Probabilities for Survival Model Predictions",
      "topics": [
        "f_surv_model_pred_tp_gr"
      ]
    },
    {
      "page": "f_tp",
      "title": "Calculate Transition Probabilities",
      "topics": [
        "f_tp"
      ]
    },
    {
      "page": "plot.PERSUADE",
      "title": "Plot Method for PERSUADE Objects",
      "topics": [
        "plot.PERSUADE"
      ]
    },
    {
      "page": "print.PERSUADE",
      "title": "Print Method for PERSUADE Objects",
      "topics": [
        "print.PERSUADE"
      ]
    },
    {
      "page": "summary.PERSUADE",
      "title": "Summary Method for PERSUADE Objects",
      "topics": [
        "summary.PERSUADE"
      ]
    }
  ],
  "_readme": "https://github.com/bram-r/persuade/raw/HEAD/README.md",
  "_rundeps": [
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    "Rcpp",
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    "RCurl",
    "Rdpack",
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    "rmarkdown",
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    "rstatix",
    "rstpm2",
    "rstudioapi",
    "S7",
    "sandwich",
    "sass",
    "scales",
    "sft",
    "SparseM",
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    "SuppDists",
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    "TH.data",
    "tibble",
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    "tidyselect",
    "timeDate",
    "tinytex",
    "urca",
    "utf8",
    "vctrs",
    "viridisLite",
    "withr",
    "xfun",
    "xml2",
    "yaml",
    "zoo"
  ],
  "_vignettes": [
    {
      "source": "PERSUADE_introduction.Rmd",
      "filename": "PERSUADE_introduction.html",
      "title": "Introduction to PERSUADE",
      "author": "Bram Ramaekers",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Introduction",
        "Install and load the PERSUADE package",
        "Example workflow",
        "Define analysis settings",
        "Running PERSUADE",
        "Inspecting results",
        "Generate diagnostic and model plots:",
        "Reporting",
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