{
  "_id": "6a49c23f06a29a6bd73453db",
  "Package": "mlsurvlrnrs",
  "Title": "R6-Based ML Survival Learners for 'mlexperiments'",
  "Version": "0.0.8",
  "Authors@R": "person(\"Lorenz A.\", \"Kapsner\", , \"lorenz.kapsner@gmail.com\", role = c(\"cre\", \"aut\", \"cph\"),\ncomment = c(ORCID = \"0000-0003-1866-860X\"))",
  "Description": "Enhances 'mlexperiments'\n<https://CRAN.R-project.org/package=mlexperiments> with\nadditional machine learning ('ML') learners for survival\nanalysis. The package provides R6-based survival learners for\nthe following algorithms: 'glmnet'\n<https://CRAN.R-project.org/package=glmnet>, 'ranger'\n<https://CRAN.R-project.org/package=ranger>, 'xgboost'\n<https://CRAN.R-project.org/package=xgboost>, and 'rpart'\n<https://CRAN.R-project.org/package=rpart>. These can be used\ndirectly with the 'mlexperiments' R package.",
  "License": "GPL (>= 3)",
  "URL": "https://github.com/kapsner/mlsurvlrnrs",
  "BugReports": "https://github.com/kapsner/mlsurvlrnrs/issues",
  "VignetteBuilder": "quarto",
  "Config/testthat/edition": "3",
  "Config/testthat/parallel": "false",
  "Encoding": "UTF-8",
  "Roxygen": "list(markdown = TRUE)",
  "SystemRequirements": "Quarto command line tools\n(https://github.com/quarto-dev/quarto-cli).",
  "RoxygenNote": "7.3.3",
  "Config/pak/sysreqs": "cmake make libicu-dev libuv1-dev",
  "Repository": "https://kapsner.r-universe.dev",
  "Date/Publication": "2026-01-17 10:30:22 UTC",
  "RemoteUrl": "https://github.com/kapsner/mlsurvlrnrs",
  "RemoteRef": "HEAD",
  "RemoteSha": "3da26c3d4b7891ea8ec4e092e45a06fe500e8e16",
  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-06-17 08:17:00 UTC",
    "User": "root"
  },
  "Author": "Lorenz A. Kapsner [cre, aut, cph] (ORCID:\n<https://orcid.org/0000-0003-1866-860X>)",
  "Maintainer": "Lorenz A. Kapsner <lorenz.kapsner@gmail.com>",
  "_user": "kapsner",
  "_type": "src",
  "_file": "mlsurvlrnrs_0.0.8.tar.gz",
  "_fileid": "https://r2.ropensci.org/c2f700eb0c661e61d35d329ff910b41eed433f661c0d4457965ca6b02da9219a",
  "_filesize": 193117,
  "_sha256": "c2f700eb0c661e61d35d329ff910b41eed433f661c0d4457965ca6b02da9219a",
  "_expires": "2026-10-13T02:32:30.000Z",
  "_created": "2026-06-17T08:17:00.000Z",
  "_published": "2026-07-05T02:32:31.597Z",
  "_jobs": [
    {
      "job": 85186109863,
      "time": 162,
      "config": "linux-devel-x86_64",
      "r": "4.7.0",
      "check": "OK",
      "artifact": "7689760361"
    },
    {
      "job": 85186109892,
      "time": 166,
      "config": "linux-release-x86_64",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7689763089"
    },
    {
      "job": 85186109902,
      "time": 150,
      "config": "macos-oldrel-arm64",
      "r": "4.5.3",
      "check": "OK",
      "artifact": "7689756176"
    },
    {
      "job": 85186109907,
      "time": 150,
      "config": "macos-release-arm64",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7689755863"
    },
    {
      "job": 85186115366,
      "time": 274,
      "config": "source",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7689699733"
    },
    {
      "job": 85186109855,
      "time": 178,
      "config": "windows-devel",
      "r": "4.7.0",
      "check": "OK",
      "artifact": "7689765593"
    },
    {
      "job": 85186109938,
      "time": 155,
      "config": "windows-oldrel",
      "r": "4.5.3",
      "check": "OK",
      "artifact": "7689758749"
    },
    {
      "job": 85186109894,
      "time": 170,
      "config": "windows-release",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7689763797"
    }
  ],
  "_host": "GitHub-Actions",
  "_buildurl": "https://github.com/r-universe/kapsner/actions/runs/27675203840",
  "_status": "success",
  "_upstream": "https://github.com/kapsner/mlsurvlrnrs",
  "_commit": {
    "id": "3da26c3d4b7891ea8ec4e092e45a06fe500e8e16",
    "author": "kapsner <lorenz.kapsner@gmail.com>",
    "committer": "kapsner <lorenz.kapsner@gmail.com>",
    "message": "chore: updated description\n",
    "time": 1768645822
  },
  "_maintainer": {
    "name": "Lorenz A. Kapsner",
    "email": "lorenz.kapsner@gmail.com",
    "login": "kapsner",
    "orcid": "0000-0003-1866-860X",
    "description": "Medical Data Scientist.",
    "uuid": 44973495
  },
  "_distro": "noble",
  "_registered": true,
  "_dependencies": [
    {
      "package": "R",
      "version": ">= 4.1.0",
      "role": "Depends"
    },
    {
      "package": "data.table",
      "role": "Imports"
    },
    {
      "package": "kdry",
      "role": "Imports"
    },
    {
      "package": "mlexperiments",
      "version": ">= 1.0.0",
      "role": "Imports"
    },
    {
      "package": "mllrnrs",
      "version": ">= 0.0.8",
      "role": "Imports"
    },
    {
      "package": "R6",
      "role": "Imports"
    },
    {
      "package": "stats",
      "role": "Imports"
    },
    {
      "package": "glmnet",
      "role": "Suggests"
    },
    {
      "package": "lintr",
      "role": "Suggests"
    },
    {
      "package": "measures",
      "role": "Suggests"
    },
    {
      "package": "parallel",
      "role": "Suggests"
    },
    {
      "package": "quarto",
      "role": "Suggests"
    },
    {
      "package": "ranger",
      "role": "Suggests"
    },
    {
      "package": "rBayesianOptimization",
      "role": "Suggests"
    },
    {
      "package": "rpart",
      "role": "Suggests"
    },
    {
      "package": "splitTools",
      "role": "Suggests"
    },
    {
      "package": "survival",
      "role": "Suggests"
    },
    {
      "package": "testthat",
      "version": ">= 3.0.1",
      "role": "Suggests"
    },
    {
      "package": "xgboost",
      "version": ">= 3.1.2.1",
      "role": "Suggests"
    }
  ],
  "_owner": "kapsner",
  "_selfowned": true,
  "_usedby": 0,
  "_updates": [
    {
      "week": "2025-36",
      "n": 1
    },
    {
      "week": "2025-37",
      "n": 3
    },
    {
      "week": "2025-42",
      "n": 4
    },
    {
      "week": "2026-03",
      "n": 8
    }
  ],
  "_tags": [
    {
      "name": "v0.0.6",
      "date": "2025-09-09"
    },
    {
      "name": "v0.0.7",
      "date": "2025-12-04"
    },
    {
      "name": "v0.0.8",
      "date": "2026-01-17"
    }
  ],
  "_topics": [
    "algorithms",
    "cox-regression",
    "experiments",
    "glmnet",
    "learners",
    "machine-learning",
    "random-survival-forests",
    "survival",
    "survival-support-vector-machine",
    "xgboost",
    "quarto"
  ],
  "_stars": 3,
  "_contributors": [
    {
      "user": "kapsner",
      "count": 63,
      "uuid": 44973495
    }
  ],
  "_userbio": {
    "uuid": 44973495,
    "type": "user",
    "name": "kapsner",
    "followers": 56,
    "description": "Medical Data Scientist."
  },
  "_downloads": {
    "count": 202,
    "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/mlsurvlrnrs"
  },
  "_devurl": "https://github.com/kapsner/mlsurvlrnrs",
  "_searchresults": 17,
  "_quarto": true,
  "_rbuild": "4.6.0",
  "_assets": [
    "extra/citation.cff",
    "extra/citation.html",
    "extra/citation.json",
    "extra/citation.txt",
    "extra/contents.json",
    "extra/mlsurvlrnrs.html",
    "extra/readme.html",
    "extra/readme.md",
    "manual.pdf"
  ],
  "_homeurl": "https://github.com/kapsner/mlsurvlrnrs",
  "_realowner": "kapsner",
  "_cranurl": true,
  "_releases": [
    {
      "version": "0.0.2",
      "date": "2023-08-12"
    },
    {
      "version": "0.0.3",
      "date": "2024-03-08"
    },
    {
      "version": "0.0.4",
      "date": "2024-07-05"
    },
    {
      "version": "0.0.5",
      "date": "2025-03-03"
    },
    {
      "version": "0.0.6",
      "date": "2025-09-09"
    },
    {
      "version": "0.0.7",
      "date": "2025-12-11"
    },
    {
      "version": "0.0.8",
      "date": "2026-01-17"
    }
  ],
  "_exports": [
    "c_index",
    "LearnerSurvCoxPHCox",
    "LearnerSurvGlmnetCox",
    "LearnerSurvRangerCox",
    "LearnerSurvRpartCox",
    "LearnerSurvXgboostAft",
    "LearnerSurvXgboostCox"
  ],
  "_help": [
    {
      "page": "c_index",
      "title": "c_index",
      "topics": [
        "c_index"
      ]
    },
    {
      "page": "LearnerSurvCoxPHCox",
      "title": "R6 Class to construct a Cox proportional hazards survival learner",
      "topics": [
        "LearnerSurvCoxPHCox"
      ]
    },
    {
      "page": "LearnerSurvGlmnetCox",
      "title": "R6 Class to construct a Glmnet survival learner for Cox regression",
      "topics": [
        "LearnerSurvGlmnetCox"
      ]
    },
    {
      "page": "LearnerSurvRangerCox",
      "title": "R6 Class to construct a Ranger survival learner for Cox regression",
      "topics": [
        "LearnerSurvRangerCox"
      ]
    },
    {
      "page": "LearnerSurvRpartCox",
      "title": "LearnerSurvRpartCox R6 class",
      "topics": [
        "LearnerSurvRpartCox"
      ]
    },
    {
      "page": "LearnerSurvXgboostAft",
      "title": "R6 Class to construct a Xgboost survival learner for accelerated failure time models",
      "topics": [
        "LearnerSurvXgboostAft"
      ]
    },
    {
      "page": "LearnerSurvXgboostCox",
      "title": "R6 Class to construct a Xgboost survival learner for Cox regression",
      "topics": [
        "LearnerSurvXgboostCox"
      ]
    }
  ],
  "_readme": "https://github.com/kapsner/mlsurvlrnrs/raw/HEAD/README.md",
  "_rundeps": [
    "backports",
    "base64enc",
    "bslib",
    "cachem",
    "checkmate",
    "cli",
    "cluster",
    "codetools",
    "colorspace",
    "cpp11",
    "crayon",
    "data.table",
    "digest",
    "doParallel",
    "evaluate",
    "farver",
    "fastmap",
    "fontawesome",
    "foreach",
    "foreign",
    "Formula",
    "fs",
    "ggplot2",
    "glue",
    "gridExtra",
    "gtable",
    "highr",
    "Hmisc",
    "hms",
    "htmlTable",
    "htmltools",
    "htmlwidgets",
    "isoband",
    "iterators",
    "jquerylib",
    "jsonlite",
    "kdry",
    "knitr",
    "labeling",
    "lifecycle",
    "magrittr",
    "memoise",
    "mime",
    "mlexperiments",
    "mllrnrs",
    "nnet",
    "pkgconfig",
    "prettyunits",
    "progress",
    "R6",
    "rappdirs",
    "RColorBrewer",
    "rlang",
    "rmarkdown",
    "rpart",
    "rstudioapi",
    "S7",
    "sass",
    "scales",
    "splitTools",
    "stringi",
    "stringr",
    "tinytex",
    "vctrs",
    "viridisLite",
    "withr",
    "xfun",
    "yaml"
  ],
  "_vignettes": [
    {
      "source": "mlsurvlrnrs_glmnet_survival.qmd",
      "filename": "mlsurvlrnrs_glmnet_survival.html",
      "title": "glmnet: Survival Analysis",
      "engine": "quarto::html",
      "headings": [
        "Preprocessing",
        "Import and Prepare Data",
        "General Configurations",
        "Generate Training- and Test Data",
        "Generate Training Data Folds",
        "Experiments",
        "Prepare Experiments",
        "Hyperparameter Tuning",
        "Grid Search",
        "Bayesian Optimization",
        "k-Fold Cross Validation",
        "Nested Cross Validation",
        "Inner Grid Search",
        "Inner Bayesian Optimization",
        "Comparison with Cox Proportional Hazards Regression",
        "Test Fold Equality",
        "Predict Outcome in Holdout Test Dataset",
        "Evaluate Performance on Holdout Test Dataset"
      ],
      "created": "2024-05-29 16:03:36",
      "modified": "2026-01-16 12:22:01",
      "commits": 3
    },
    {
      "source": "mlsurvlrnrs_ranger_survival.qmd",
      "filename": "mlsurvlrnrs_ranger_survival.html",
      "title": "ranger: Survival Analysis",
      "engine": "quarto::html",
      "headings": [
        "Preprocessing",
        "Import and Prepare Data",
        "General Configurations",
        "Generate Training- and Test Data",
        "Generate Training Data Folds",
        "Experiments",
        "Prepare Experiments",
        "Hyperparameter Tuning",
        "Grid Search",
        "Bayesian Optimization",
        "k-Fold Cross Validation",
        "Nested Cross Validation",
        "Inner Grid Search",
        "Inner Bayesian Optimization",
        "Holdout Test Dataset Performance",
        "Predict Outcome in Holdout Test Dataset",
        "Evaluate Performance on Holdout Test Dataset"
      ],
      "created": "2024-05-29 16:03:36",
      "modified": "2026-01-15 16:26:11",
      "commits": 3
    },
    {
      "source": "mlsurvlrnrs_rpart_survival.qmd",
      "filename": "mlsurvlrnrs_rpart_survival.html",
      "title": "rpart: Survival Analysis",
      "engine": "quarto::html",
      "headings": [
        "Preprocessing",
        "Import and Prepare Data",
        "General Configurations",
        "Generate Training- and Test Data",
        "Generate Training Data Folds",
        "Experiments",
        "Prepare Experiments",
        "Hyperparameter Tuning",
        "Grid Search",
        "Bayesian Optimization",
        "k-Fold Cross Validation",
        "Nested Cross Validation",
        "Inner Grid Search",
        "Inner Bayesian Optimization",
        "Holdout Test Dataset Performance",
        "Predict Outcome in Holdout Test Dataset",
        "Evaluate Performance on Holdout Test Dataset"
      ],
      "created": "2024-05-29 16:03:36",
      "modified": "2026-01-16 12:22:01",
      "commits": 3
    },
    {
      "source": "mlsurvlrnrs_xgboost_survival_aft.qmd",
      "filename": "mlsurvlrnrs_xgboost_survival_aft.html",
      "title": "xgboost: Survival Analysis, AFT Analysis",
      "engine": "quarto::html",
      "headings": [
        "Preprocessing",
        "Import and Prepare Data",
        "General Configurations",
        "Generate Training- and Test Data",
        "Generate Training Data Folds",
        "Experiments",
        "Prepare Experiments",
        "Hyperparameter Tuning",
        "Grid Search",
        "Bayesian Optimization",
        "k-Fold Cross Validation",
        "Nested Cross Validation",
        "Inner Grid Search",
        "Inner Bayesian Optimization",
        "Holdout Test Dataset Performance",
        "Predict Outcome in Holdout Test Dataset",
        "Evaluate Performance on Holdout Test Dataset"
      ],
      "created": "2024-05-29 16:03:36",
      "modified": "2026-01-16 12:22:01",
      "commits": 5
    },
    {
      "source": "mlsurvlrnrs_xgboost_survival_cox.qmd",
      "filename": "mlsurvlrnrs_xgboost_survival_cox.html",
      "title": "xgboost: Survival Analysis, Cox Regression",
      "engine": "quarto::html",
      "headings": [
        "Preprocessing",
        "Import and Prepare Data",
        "General Configurations",
        "Generate Training- and Test Data",
        "Generate Training Data Folds",
        "Experiments",
        "Prepare Experiments",
        "Hyperparameter Tuning",
        "Grid Search",
        "Bayesian Optimization",
        "k-Fold Cross Validation",
        "Nested Cross Validation",
        "Inner Grid Search",
        "Inner Bayesian Optimization",
        "Holdout Test Dataset Performance",
        "Predict Outcome in Holdout Test Dataset",
        "Evaluate Performance on Holdout Test Dataset"
      ],
      "created": "2024-05-29 16:03:36",
      "modified": "2026-01-16 12:22:01",
      "commits": 4
    }
  ],
  "_score": 5.707570176097936,
  "_indexed": true,
  "_nocasepkg": "mlsurvlrnrs",
  "_universes": [
    "kapsner"
  ],
  "_binaries": [
    {
      "r": "4.7.0",
      "os": "linux",
      "version": "0.0.8",
      "date": "2026-06-17T08:19:26.000Z",
      "distro": "noble",
      "commit": "3da26c3d4b7891ea8ec4e092e45a06fe500e8e16",
      "fileid": "https://r2.ropensci.org/6028702deb4169f11bee5f9d8d0b96a4b3881a42b37e207cf47a8f6c4a48e91b",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/kapsner/actions/runs/27675203840"
    },
    {
      "r": "4.6.0",
      "os": "linux",
      "version": "0.0.8",
      "date": "2026-06-17T08:19:33.000Z",
      "distro": "noble",
      "commit": "3da26c3d4b7891ea8ec4e092e45a06fe500e8e16",
      "fileid": "https://r2.ropensci.org/9aa80cda83315188aac8f7890484422aa5ab4709d3a17ab496261d7c876de999",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/kapsner/actions/runs/27675203840"
    },
    {
      "r": "4.5.3",
      "os": "mac",
      "version": "0.0.8",
      "date": "2026-06-17T08:19:30.000Z",
      "commit": "3da26c3d4b7891ea8ec4e092e45a06fe500e8e16",
      "fileid": "https://r2.ropensci.org/de889fc4dc1874c8dfb708640779c785cc8f1778294684a3d09e9faf568870da",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/kapsner/actions/runs/27675203840"
    },
    {
      "r": "4.6.0",
      "os": "mac",
      "version": "0.0.8",
      "date": "2026-06-17T08:19:28.000Z",
      "commit": "3da26c3d4b7891ea8ec4e092e45a06fe500e8e16",
      "fileid": "https://r2.ropensci.org/8bd36014421a8974b5dd900f5e49a280232bf3d12fad5e28a83889056987840a",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/kapsner/actions/runs/27675203840"
    },
    {
      "r": "4.6.0",
      "os": "wasm",
      "version": "0.0.8",
      "date": "2026-06-17T08:19:32.000Z",
      "commit": "3da26c3d4b7891ea8ec4e092e45a06fe500e8e16",
      "fileid": "https://r2.ropensci.org/c0585830b2c006c97911f691dabd59dfd097e7d199d73afd48281b48fabf7ac8",
      "status": "success",
      "buildurl": "https://github.com/r-universe/kapsner/actions/runs/27675203840"
    },
    {
      "r": "4.7.0",
      "os": "win",
      "version": "0.0.8",
      "date": "2026-06-17T08:19:28.000Z",
      "commit": "3da26c3d4b7891ea8ec4e092e45a06fe500e8e16",
      "fileid": "https://r2.ropensci.org/0877287b84f35b19131a47d74b9492421ebe7eb722ba91e4ab0ea1221f0bac7c",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/kapsner/actions/runs/27675203840"
    },
    {
      "r": "4.5.3",
      "os": "win",
      "version": "0.0.8",
      "date": "2026-06-17T08:19:10.000Z",
      "commit": "3da26c3d4b7891ea8ec4e092e45a06fe500e8e16",
      "fileid": "https://r2.ropensci.org/14ce694f224c72a0e08d514f1f16b2e624e46549b39c183fe1a697d2af903fff",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/kapsner/actions/runs/27675203840"
    },
    {
      "r": "4.6.0",
      "os": "win",
      "version": "0.0.8",
      "date": "2026-06-17T08:19:22.000Z",
      "commit": "3da26c3d4b7891ea8ec4e092e45a06fe500e8e16",
      "fileid": "https://r2.ropensci.org/bc437a56b27bfad8dd2a8b24dd11188318b57c69777020934be1629e4e6bc370",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/kapsner/actions/runs/27675203840"
    }
  ]
}