{
  "_id": "6ab793ed99f7aa8c6aa326bf",
  "Package": "hdnom",
  "Type": "Package",
  "Title": "Benchmarking and Visualization Toolkit for Penalized Cox Models",
  "Version": "6.2.1",
  "Authors@R": "c(\nperson(\"Nan\", \"Xiao\", email = \"me@nanx.me\", role = c(\"aut\", \"cre\"),\ncomment = c(ORCID = \"0000-0002-0250-5673\")),\nperson(\"Qing-Song\", \"Xu\", email = \"qsxu@csu.edu.cn\", role = c(\"aut\")),\nperson(\"Miao-Zhu\", \"Li\", email = \"miaozhu.li@duke.edu\", role = c(\"aut\")),\nperson(\"Frank\", \"Harrell\", email = \"f.harrell@vanderbilt.edu\", role = c(\"ctb\"), comment = \"rms author\"),\nperson(\"Sergej\", \"Potapov\", role = c(\"ctb\"), comment = \"survAUC author\"),\nperson(\"Werner\", \"Adler\", role = c(\"ctb\"), comment = \"survAUC author\"),\nperson(\"Matthias\", \"Schmid\", role = c(\"ctb\"), comment = \"survAUC author\")\n)",
  "Description": "Creates nomogram visualizations for penalized Cox\nregression models, with the support of reproducible survival\nmodel building, validation, calibration, and comparison for\nhigh-dimensional data.",
  "License": "GPL (>= 3)",
  "LazyData": "TRUE",
  "URL": "https://nanx.me/hdnom/, https://github.com/nanxstats/hdnom",
  "BugReports": "https://github.com/nanxstats/hdnom/issues",
  "VignetteBuilder": "knitr",
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  "Repository": "https://nanxstats.r-universe.dev",
  "Date/Publication": "2026-07-28 05:16:56 UTC",
  "RemoteUrl": "https://github.com/nanxstats/hdnom",
  "RemoteRef": "HEAD",
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  "NeedsCompilation": "yes",
  "Packaged": {
    "Date": "2026-09-26 09:36:44 UTC",
    "User": "root"
  },
  "Author": "Nan Xiao [aut, cre] (ORCID: <https://orcid.org/0000-0002-0250-5673>),\nQing-Song Xu [aut],\nMiao-Zhu Li [aut],\nFrank Harrell [ctb] (rms author),\nSergej Potapov [ctb] (survAUC author),\nWerner Adler [ctb] (survAUC author),\nMatthias Schmid [ctb] (survAUC author)",
  "Maintainer": "Nan Xiao <me@nanx.me>",
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  "_expires": "2027-01-04T09:44:11.000Z",
  "_created": "2026-09-26T09:36:44.000Z",
  "_published": "2026-09-26T09:44:13.238Z",
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    "message": "Merge pull request #30 from nanxstats/structure-names\n\nUse `names` in `structure()` calls",
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    {
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    },
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    "high-dimensional-data",
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    "nomogram-visualization",
    "penalized-cox-models",
    "survival-analysis",
    "openblas"
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  "_assets": [
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    "extra/citation.html",
    "extra/citation.json",
    "extra/citation.txt",
    "extra/contents.json",
    "extra/hdnom.html",
    "extra/manual.pdf",
    "extra/NEWS.html",
    "extra/NEWS.txt",
    "extra/readme.html",
    "extra/readme.md"
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  "_homeurl": "https://github.com/nanxstats/hdnom",
  "_realowner": "nanxstats",
  "_cranurl": true,
  "_releases": [
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      "date": "2015-08-27"
    },
    {
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      "date": "2015-09-16"
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      "version": "4.6",
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      "version": "4.9",
      "date": "2017-09-29"
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    {
      "version": "5.0",
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    },
    {
      "version": "6.0.0",
      "date": "2019-06-23"
    },
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      "version": "6.0.1",
      "date": "2022-05-18"
    },
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      "version": "6.0.2",
      "date": "2023-04-24"
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    "as_nomogram",
    "calibrate",
    "calibrate_external",
    "compare_by_calibrate",
    "compare_by_validate",
    "fit_aenet",
    "fit_alasso",
    "fit_enet",
    "fit_flasso",
    "fit_lasso",
    "fit_mcp",
    "fit_mnet",
    "fit_scad",
    "fit_snet",
    "glmnet_basesurv",
    "glmnet_survcurve",
    "infer_variable_type",
    "kmplot",
    "logrank_test",
    "ncvreg_basesurv",
    "ncvreg_survcurve",
    "penalized_basesurv",
    "penalized_survcurve",
    "theme_hdnom",
    "validate",
    "validate_external"
  ],
  "_datasets": [
    {
      "name": "smart",
      "title": "Imputed SMART study data",
      "object": "smart",
      "class": [
        "data.frame"
      ],
      "fields": [
        "TEVENT",
        "EVENT",
        "SEX",
        "AGE",
        "DIABETES",
        "CEREBRAL",
        "CARDIAC",
        "AAA",
        "PERIPH",
        "STENOSIS",
        "SYSTBP",
        "DIASTBP",
        "SYSTH",
        "DIASTH",
        "LENGTH",
        "WEIGHT",
        "BMI",
        "CHOL",
        "HDL",
        "LDL",
        "TRIG",
        "HOMOC",
        "GLUT",
        "CREAT",
        "IMT",
        "ALBUMIN",
        "SMOKING",
        "PACKYRS",
        "ALCOHOL"
      ],
      "rows": 3873,
      "table": true,
      "tojson": false
    },
    {
      "name": "smarto",
      "title": "Original SMART study data",
      "object": "smarto",
      "class": [
        "data.frame"
      ],
      "fields": [
        "TEVENT",
        "EVENT",
        "SEX",
        "AGE",
        "DIABETES",
        "CEREBRAL",
        "CARDIAC",
        "AAA",
        "PERIPH",
        "STENOSIS",
        "SYSTBP",
        "DIASTBP",
        "SYSTH",
        "DIASTH",
        "LENGTH",
        "WEIGHT",
        "BMI",
        "CHOL",
        "HDL",
        "LDL",
        "TRIG",
        "HOMOC",
        "GLUT",
        "CREAT",
        "IMT",
        "ALBUMIN",
        "SMOKING",
        "PACKYRS",
        "ALCOHOL"
      ],
      "rows": 3873,
      "table": true,
      "tojson": true
    }
  ],
  "_help": [
    {
      "page": "as_nomogram",
      "title": "Construct nomogram ojects for high-dimensional Cox models",
      "topics": [
        "as_nomogram"
      ]
    },
    {
      "page": "calibrate",
      "title": "Calibrate high-dimensional Cox models",
      "topics": [
        "calibrate"
      ]
    },
    {
      "page": "calibrate_external",
      "title": "Externally calibrate high-dimensional Cox models",
      "topics": [
        "calibrate_external"
      ]
    },
    {
      "page": "compare_by_calibrate",
      "title": "Compare high-dimensional Cox models by model calibration",
      "topics": [
        "compare_by_calibrate"
      ]
    },
    {
      "page": "compare_by_validate",
      "title": "Compare high-dimensional Cox models by model validation",
      "topics": [
        "compare_by_validate"
      ]
    },
    {
      "page": "fit_aenet",
      "title": "Model selection for high-dimensional Cox models with adaptive elastic-net penalty",
      "topics": [
        "fit_aenet"
      ]
    },
    {
      "page": "fit_alasso",
      "title": "Model selection for high-dimensional Cox models with adaptive lasso penalty",
      "topics": [
        "fit_alasso"
      ]
    },
    {
      "page": "fit_enet",
      "title": "Model selection for high-dimensional Cox models with elastic-net penalty",
      "topics": [
        "fit_enet"
      ]
    },
    {
      "page": "fit_flasso",
      "title": "Model selection for high-dimensional Cox models with fused lasso penalty",
      "topics": [
        "fit_flasso"
      ]
    },
    {
      "page": "fit_lasso",
      "title": "Model selection for high-dimensional Cox models with lasso penalty",
      "topics": [
        "fit_lasso"
      ]
    },
    {
      "page": "fit_mcp",
      "title": "Model selection for high-dimensional Cox models with MCP penalty",
      "topics": [
        "fit_mcp"
      ]
    },
    {
      "page": "fit_mnet",
      "title": "Model selection for high-dimensional Cox models with Mnet penalty",
      "topics": [
        "fit_mnet"
      ]
    },
    {
      "page": "fit_scad",
      "title": "Model selection for high-dimensional Cox models with SCAD penalty",
      "topics": [
        "fit_scad"
      ]
    },
    {
      "page": "fit_snet",
      "title": "Model selection for high-dimensional Cox models with Snet penalty",
      "topics": [
        "fit_snet"
      ]
    },
    {
      "page": "glmnet_basesurv",
      "title": "Breslow baseline hazard estimator for glmnet objects",
      "topics": [
        "glmnet_basesurv"
      ]
    },
    {
      "page": "glmnet_survcurve",
      "title": "Survival curve prediction for glmnet objects",
      "topics": [
        "glmnet_survcurve"
      ]
    },
    {
      "page": "infer_variable_type",
      "title": "Extract information of selected variables from high-dimensional Cox models",
      "topics": [
        "infer_variable_type"
      ]
    },
    {
      "page": "kmplot",
      "title": "Kaplan-Meier plot with number at risk table for internal calibration and external calibration results",
      "topics": [
        "kmplot"
      ]
    },
    {
      "page": "logrank_test",
      "title": "Log-rank test for internal calibration and external calibration results",
      "topics": [
        "logrank_test"
      ]
    },
    {
      "page": "ncvreg_basesurv",
      "title": "Breslow baseline hazard estimator for ncvreg objects",
      "topics": [
        "ncvreg_basesurv"
      ]
    },
    {
      "page": "ncvreg_survcurve",
      "title": "Survival curve prediction for ncvreg objects",
      "topics": [
        "ncvreg_survcurve"
      ]
    },
    {
      "page": "penalized_basesurv",
      "title": "Breslow baseline hazard estimator for penfit objects",
      "topics": [
        "penalized_basesurv"
      ]
    },
    {
      "page": "penalized_survcurve",
      "title": "Survival curve prediction for penfit objects",
      "topics": [
        "penalized_survcurve"
      ]
    },
    {
      "page": "plot.hdnom.calibrate",
      "title": "Plot calibration results",
      "topics": [
        "plot.hdnom.calibrate"
      ]
    },
    {
      "page": "plot.hdnom.calibrate.external",
      "title": "Plot external calibration results",
      "topics": [
        "plot.hdnom.calibrate.external"
      ]
    },
    {
      "page": "plot.hdnom.compare.calibrate",
      "title": "Plot model comparison by calibration results",
      "topics": [
        "plot.hdnom.compare.calibrate"
      ]
    },
    {
      "page": "plot.hdnom.compare.validate",
      "title": "Plot model comparison by validation results",
      "topics": [
        "plot.hdnom.compare.validate"
      ]
    },
    {
      "page": "plot.hdnom.nomogram",
      "title": "Plot nomogram objects",
      "topics": [
        "plot.hdnom.nomogram"
      ]
    },
    {
      "page": "plot.hdnom.validate",
      "title": "Plot optimism-corrected time-dependent discrimination curves for validation",
      "topics": [
        "plot.hdnom.validate"
      ]
    },
    {
      "page": "plot.hdnom.validate.external",
      "title": "Plot time-dependent discrimination curves for external validation",
      "topics": [
        "plot.hdnom.validate.external"
      ]
    },
    {
      "page": "predict.hdnom.model",
      "title": "Make predictions from high-dimensional Cox models",
      "topics": [
        "predict.hdnom.model"
      ]
    },
    {
      "page": "print.hdnom.calibrate",
      "title": "Print calibration results",
      "topics": [
        "print.hdnom.calibrate"
      ]
    },
    {
      "page": "print.hdnom.calibrate.external",
      "title": "Print external calibration results",
      "topics": [
        "print.hdnom.calibrate.external"
      ]
    },
    {
      "page": "print.hdnom.compare.calibrate",
      "title": "Print model comparison by calibration results",
      "topics": [
        "print.hdnom.compare.calibrate"
      ]
    },
    {
      "page": "print.hdnom.compare.validate",
      "title": "Print model comparison by validation results",
      "topics": [
        "print.hdnom.compare.validate"
      ]
    },
    {
      "page": "print.hdnom.model",
      "title": "Print high-dimensional Cox model objects",
      "topics": [
        "print.hdnom.model"
      ]
    },
    {
      "page": "print.hdnom.nomogram",
      "title": "Print nomograms objects",
      "topics": [
        "print.hdnom.nomogram"
      ]
    },
    {
      "page": "print.hdnom.validate",
      "title": "Print validation results",
      "topics": [
        "print.hdnom.validate"
      ]
    },
    {
      "page": "print.hdnom.validate.external",
      "title": "Print external validation results",
      "topics": [
        "print.hdnom.validate.external"
      ]
    },
    {
      "page": "smart",
      "title": "Imputed SMART study data",
      "topics": [
        "smart"
      ]
    },
    {
      "page": "smarto",
      "title": "Original SMART study data",
      "topics": [
        "smarto"
      ]
    },
    {
      "page": "summary.hdnom.calibrate",
      "title": "Summary of calibration results",
      "topics": [
        "summary.hdnom.calibrate"
      ]
    },
    {
      "page": "summary.hdnom.calibrate.external",
      "title": "Summary of external calibration results",
      "topics": [
        "summary.hdnom.calibrate.external"
      ]
    },
    {
      "page": "summary.hdnom.compare.calibrate",
      "title": "Summary of model comparison by calibration results",
      "topics": [
        "summary.hdnom.compare.calibrate"
      ]
    },
    {
      "page": "summary.hdnom.compare.validate",
      "title": "Summary of model comparison by validation results",
      "topics": [
        "summary.hdnom.compare.validate"
      ]
    },
    {
      "page": "summary.hdnom.validate",
      "title": "Summary of validation results",
      "topics": [
        "summary.hdnom.validate"
      ]
    },
    {
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