{
  "_id": "6ae30d328d250e7ad09efa8d",
  "Package": "coxphw",
  "Type": "Package",
  "Title": "Weighted Estimation in Cox Regression",
  "Version": "4.0.3",
  "Date": "2023-10-31",
  "Authors@R": "c(\nperson(\"Daniela\", \"Dunkler\", email=\"daniela.dunkler@meduniwien.ac.at\", role=c(\"aut\", \"cre\")),\nperson(\"Georg\", \"Heinze\", role=\"aut\"),\nperson(\"Meinhard\", \"Ploner\", role=\"aut\"))",
  "Description": "Implements weighted estimation in Cox regression as\nproposed by Schemper, Wakounig and Heinze (Statistics in\nMedicine, 2009, <doi:10.1002/sim.3623>) and as described in\nDunkler, Ploner, Schemper and Heinze (Journal of Statistical\nSoftware, 2018, <doi:10.18637/jss.v084.i02>). Weighted Cox\nregression provides unbiased average hazard ratio estimates\nalso in case of non-proportional hazards. Approximated\ngeneralized concordance probability an effect size measure for\nclear-cut decisions can be obtained. The package provides\noptions to estimate time-dependent effects conveniently by\nincluding interactions of covariates with arbitrary functions\nof time, with or without making use of the weighting option.",
  "NeedsCompilation": "yes",
  "License": "GPL-3",
  "VignetteBuilder": "knitr",
  "RoxygenNote": "7.2.3",
  "Encoding": "UTF-8",
  "URL": "https://github.com/biometrician/coxphw",
  "BugReports": "https://github.com/biometrician/coxphw/issues",
  "Packaged": {
    "Date": "2026-10-29 09:04:41 UTC",
    "User": "root"
  },
  "Author": "Daniela Dunkler [aut, cre], Georg Heinze [aut], Meinhard Ploner\n[aut]",
  "Maintainer": "Daniela Dunkler <daniela.dunkler@meduniwien.ac.at>",
  "Repository": "https://cran.r-universe.dev",
  "Date/Publication": "2023-11-29 02:45:16 UTC",
  "RemoteUrl": "https://github.com/cran/coxphw",
  "RemoteRef": "HEAD",
  "RemoteSha": "db21b7512cdc899198bbf416c7eee5d5a0b5c9f8",
  "_user": "cran",
  "_type": "src",
  "_file": "coxphw_4.0.3.tar.gz",
  "_fileid": "https://r2.ropensci.org/c5ed611de8f3e99ee24c878a147b8cb3d7ce12133378b67ca9ecccefbb3238c3",
  "_filesize": 1117547,
  "_sha256": "c5ed611de8f3e99ee24c878a147b8cb3d7ce12133378b67ca9ecccefbb3238c3",
  "_expires": "2027-02-06T09:09:04.000Z",
  "_created": "2026-10-29T09:04:41.000Z",
  "_published": "2026-10-29T09:09:06.320Z",
  "_upstream": "https://github.com/cran/coxphw",
  "_status": "success",
  "_maintainer": {
    "name": "Daniela Dunkler",
    "email": "daniela.dunkler@meduniwien.ac.at",
    "login": "biometrician",
    "description": "",
    "uuid": 45236112
  },
  "_jobs": [
    {
      "job": 123356395352,
      "time": 110,
      "config": "linux-devel-arm64",
      "r": "4.7.0",
      "check": "OK",
      "artifact": "12884684669"
    },
    {
      "job": 123356395269,
      "time": 164,
      "config": "linux-devel-x86_64",
      "r": "4.7.0",
      "check": "OK",
      "artifact": "12885492234"
    },
    {
      "job": 123356395288,
      "time": 109,
      "config": "linux-release-arm64",
      "r": "4.6.1",
      "check": "OK",
      "artifact": "12884868910"
    },
    {
      "job": 123356395438,
      "time": 135,
      "config": "linux-release-x86_64",
      "r": "4.6.1",
      "check": "OK",
      "artifact": "12885118120"
    },
    {
      "job": 123354836338,
      "time": 219,
      "config": "source",
      "r": "4.6.1",
      "check": "OK",
      "artifact": "12884778898"
    },
    {
      "job": 123356395152,
      "time": 102,
      "config": "wasm-release",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "12884977889"
    },
    {
      "job": 123356395345,
      "time": 215,
      "config": "windows-devel-arm64",
      "r": "4.7.0",
      "check": "OK",
      "artifact": "12884703857"
    },
    {
      "job": 123356395344,
      "time": 135,
      "config": "windows-devel-x86_64",
      "r": "4.7.0",
      "check": "OK",
      "artifact": "12884629711"
    },
    {
      "job": 123356395273,
      "time": 194,
      "config": "windows-release-arm64",
      "r": "4.6.1",
      "check": "WARNING",
      "artifact": "12885052869"
    },
    {
      "job": 123356395360,
      "time": 106,
      "config": "windows-release-x86_64",
      "r": "4.6.1",
      "check": "OK",
      "artifact": "12885227781"
    }
  ],
  "_buildurl": "https://github.com/r-universe/cran/actions/runs/40846349340",
  "_commit": {
    "id": "db21b7512cdc899198bbf416c7eee5d5a0b5c9f8",
    "author": "Daniela Dunkler <daniela.dunkler@meduniwien.ac.at>",
    "committer": "cran-robot <csardi.gabor+cran@gmail.com>",
    "message": "version 4.0.3\n",
    "time": 1701225916
  },
  "_distro": "resolute",
  "_host": "GitHub-Actions",
  "_registered": true,
  "_dependencies": [
    {
      "package": "R",
      "version": ">= 3.0.2",
      "role": "Depends"
    },
    {
      "package": "survival",
      "role": "Depends"
    },
    {
      "package": "knitr",
      "role": "Suggests"
    },
    {
      "package": "rmarkdown",
      "role": "Suggests"
    },
    {
      "package": "testthat",
      "role": "Suggests"
    }
  ],
  "_owner": "cran",
  "_selfowned": false,
  "_usedby": 1,
  "_updates": [],
  "_tags": [],
  "_stars": 1,
  "_contributors": [
    {
      "user": "georgheinze",
      "count": 9,
      "uuid": 56126472
    },
    {
      "user": "biometrician",
      "count": 2,
      "uuid": 45236112
    }
  ],
  "_userbio": {
    "uuid": 6899542,
    "type": "organization",
    "name": "cran",
    "followers": 634,
    "description": "Unofficial read-only mirror of all CRAN R packages"
  },
  "_downloads": {
    "count": 560,
    "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/coxphw"
  },
  "_mentions": 7,
  "_devurl": "https://github.com/biometrician/coxphw",
  "_searchresults": 31,
  "_topics": [
    "fortran"
  ],
  "_rbuild": "4.6.1",
  "_assets": [
    "extra/citation.cff",
    "extra/citation.html",
    "extra/citation.json",
    "extra/citation.txt",
    "extra/contents.json",
    "extra/coxphw.html",
    "extra/manual.pdf",
    "extra/NEWS.html",
    "extra/NEWS.txt",
    "extra/readme.html",
    "extra/readme.md"
  ],
  "_homeurl": "https://github.com/biometrician/coxphw",
  "_realowner": "biometrician",
  "_cranurl": false,
  "_releases": [
    {
      "version": "1.0",
      "date": "2008-05-25"
    },
    {
      "version": "1.1",
      "date": "2008-07-28"
    },
    {
      "version": "1.3",
      "date": "2009-06-05"
    },
    {
      "version": "2.11",
      "date": "2011-10-26"
    },
    {
      "version": "2.12",
      "date": "2012-09-14"
    },
    {
      "version": "2.13",
      "date": "2013-11-04"
    },
    {
      "version": "3.0.0",
      "date": "2014-04-08"
    },
    {
      "version": "4.0.0",
      "date": "2017-01-02"
    },
    {
      "version": "4.0.1",
      "date": "2018-04-17"
    },
    {
      "version": "4.0.2",
      "date": "2020-06-22"
    },
    {
      "version": "4.0.3",
      "date": "2023-11-28"
    }
  ],
  "_exports": [
    "concord",
    "coxphw",
    "coxphw.control",
    "fp.power",
    "PT",
    "wald"
  ],
  "_datasets": [
    {
      "name": "biofeedback",
      "title": "Biofeedback Treatment Data",
      "object": "biofeedback",
      "file": "biofeedback.txt",
      "class": [
        "data.frame"
      ],
      "fields": [
        "id",
        "success",
        "thdur",
        "bfb",
        "theal",
        "log2heal"
      ],
      "rows": 33,
      "table": true,
      "tojson": true
    },
    {
      "name": "gastric",
      "title": "Gastric Cancer Data",
      "object": "gastric",
      "file": "gastric.txt",
      "class": [
        "data.frame"
      ],
      "fields": [
        "id",
        "radiation",
        "time",
        "status"
      ],
      "rows": 90,
      "table": true,
      "tojson": true
    }
  ],
  "_help": [
    {
      "page": "coxphw-package",
      "title": "Weighted Estimation in Cox Regression",
      "topics": [
        "coxphw-package"
      ]
    },
    {
      "page": "biofeedback",
      "title": "Biofeedback Treatment Data",
      "topics": [
        "biofeedback"
      ]
    },
    {
      "page": "coef.coxphw",
      "title": "Extract Model Coefficients for Objects of Class 'coxphw'",
      "topics": [
        "coef.coxphw"
      ]
    },
    {
      "page": "concord",
      "title": "Compute Generalized Concordance Probabilities for Objects of Class 'coxphw' or 'coxph'",
      "topics": [
        "concord"
      ]
    },
    {
      "page": "confint.coxphw",
      "title": "Confidence Intervals for Model Parameters",
      "topics": [
        "confint.coxphw"
      ]
    },
    {
      "page": "coxphw",
      "title": "Weighted Estimation in Cox Regression",
      "topics": [
        "coxphw"
      ]
    },
    {
      "page": "coxphw.control",
      "title": "Ancillary arguments for controlling coxphw fits",
      "topics": [
        "coxphw.control"
      ]
    },
    {
      "page": "fp.power",
      "title": "Provides Fractional Polynomials as Accessible Function",
      "topics": [
        "fp.power"
      ]
    },
    {
      "page": "gastric",
      "title": "Gastric Cancer Data",
      "topics": [
        "gastric"
      ]
    },
    {
      "page": "plot.coxphw",
      "title": "Plot Weights of Weighted Estimation in Cox Regression",
      "topics": [
        "plot.coxphw"
      ]
    },
    {
      "page": "plot.coxphw.predict",
      "title": "Plot the Relative or Log Relative Hazard Versus Values of a Continuous Covariable.",
      "topics": [
        "plot.coxphw.predict"
      ]
    },
    {
      "page": "predict.coxphw",
      "title": "Predictions for a weighted Cox model",
      "topics": [
        "predict.coxphw"
      ]
    },
    {
      "page": "print.coxphw",
      "title": "Print Method for Objects of Class 'coxphw'",
      "topics": [
        "print.coxphw"
      ]
    },
    {
      "page": "print.coxphw.predict",
      "title": "Print Method for Objects of Class 'predict.coxphw'",
      "topics": [
        "print.coxphw.predict"
      ]
    },
    {
      "page": "PT",
      "title": "Pretransformation function",
      "topics": [
        "PT"
      ]
    },
    {
      "page": "summary.coxphw",
      "title": "Summary Method for Objects of Class 'coxphw'",
      "topics": [
        "summary.coxphw"
      ]
    },
    {
      "page": "vcov.coxphw",
      "title": "Obtain the Variance-Covariance Matrix for a Fitted Model Object of Class 'coxphw'",
      "topics": [
        "vcov.coxphw"
      ]
    },
    {
      "page": "wald",
      "title": "Wald-Test for Model Coefficients",
      "topics": [
        "wald"
      ]
    }
  ],
  "_readme": "https://github.com/cran/coxphw/raw/HEAD/README.md",
  "_rundeps": [
    "lattice",
    "Matrix",
    "survival"
  ],
  "_sysdeps": [
    {
      "shlib": "libgfortran",
      "package": "libgfortran5",
      "source": "gcc",
      "version": "16-20260322-1ubuntu1",
      "name": "fortran",
      "homepage": "http://gcc.gnu.org/",
      "description": "Runtime library for GNU Fortran applications"
    }
  ],
  "_vignettes": [
    {
      "source": "jss_2018_example_code.Rmd",
      "filename": "jss_2018_example_code.html",
      "title": "R code for 'Weighted Cox Regression using the R package coxphw'",
      "author": "Daniela Dunkler",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Introduction",
        "Section 2.1: Gastric cancer study",
        "Section 2.2: Biofeedback therapy study",
        "Section 5: Simulation",
        "Section 6.1: Gastric cancer study",
        "Section 6.2: Biofeedback therapy study"
      ],
      "created": "2018-04-17 15:32:16",
      "modified": "2020-06-22 07:40:11",
      "commits": 2
    }
  ],
  "_score": 4.5125509929042105,
  "_indexed": false,
  "_nocasepkg": "coxphw",
  "_universes": [
    "cran"
  ],
  "_indexurl": "https://biometrician.r-universe.dev/coxphw",
  "_binaries": [
    {
      "r": "4.7.0",
      "os": "linux",
      "version": "4.0.3",
      "date": "2026-10-29T09:06:35.000Z",
      "distro": "resolute",
      "arch": "aarch64",
      "commit": "db21b7512cdc899198bbf416c7eee5d5a0b5c9f8",
      "fileid": "https://r2.ropensci.org/93899d920b7086d01b361e21d98213582a113cfa4fb8f99d75c1864498d19abc",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/cran/actions/runs/40846349340"
    },
    {
      "r": "4.7.0",
      "os": "linux",
      "version": "4.0.3",
      "date": "2026-10-29T09:07:15.000Z",
      "distro": "resolute",
      "arch": "x86_64",
      "commit": "db21b7512cdc899198bbf416c7eee5d5a0b5c9f8",
      "fileid": "https://r2.ropensci.org/2065a9f3783d7d9f599d32b5b85641172fec853f9dbce2a00516e0d1e63d25c5",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/cran/actions/runs/40846349340"
    },
    {
      "r": "4.6.1",
      "os": "linux",
      "version": "4.0.3",
      "date": "2026-10-29T09:06:36.000Z",
      "distro": "resolute",
      "arch": "aarch64",
      "commit": "db21b7512cdc899198bbf416c7eee5d5a0b5c9f8",
      "fileid": "https://r2.ropensci.org/e646e28e3f8cf871a3bbd64a2fe5e1804bf794f8b3375c91c95c3a3a54061133",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/cran/actions/runs/40846349340"
    },
    {
      "r": "4.6.1",
      "os": "linux",
      "version": "4.0.3",
      "date": "2026-10-29T09:06:48.000Z",
      "distro": "resolute",
      "arch": "x86_64",
      "commit": "db21b7512cdc899198bbf416c7eee5d5a0b5c9f8",
      "fileid": "https://r2.ropensci.org/07eb189efbe00c0553f9afc7420a2e29d84333b446686a19d8c88ae2a34ba706",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/cran/actions/runs/40846349340"
    },
    {
      "r": "4.6.0",
      "os": "wasm",
      "version": "4.0.3",
      "date": "2026-10-29T09:06:45.000Z",
      "arch": "emscripten",
      "commit": "db21b7512cdc899198bbf416c7eee5d5a0b5c9f8",
      "fileid": "https://r2.ropensci.org/edb83056b4cb4c18e97b3f8f8da87c67f95515f79c6954fca808e34d5627fe30",
      "status": "success",
      "buildurl": "https://github.com/r-universe/cran/actions/runs/40846349340"
    },
    {
      "r": "4.7.0",
      "os": "win",
      "version": "4.0.3",
      "date": "2026-10-29T09:08:04.000Z",
      "arch": "aarch64",
      "commit": "db21b7512cdc899198bbf416c7eee5d5a0b5c9f8",
      "fileid": "https://r2.ropensci.org/0bb52a2ebc17277509198f93d16d94d1c830c004d852d7a01bb3f6d88faec4e5",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/cran/actions/runs/40846349340"
    },
    {
      "r": "4.7.0",
      "os": "win",
      "version": "4.0.3",
      "date": "2026-10-29T09:05:56.000Z",
      "arch": "x86_64",
      "commit": "db21b7512cdc899198bbf416c7eee5d5a0b5c9f8",
      "fileid": "https://r2.ropensci.org/63f97a8c01411d1ebc1e5ef2752926abe0d52adc5f1f138c23b1b7333fa9b0bb",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/cran/actions/runs/40846349340"
    },
    {
      "r": "4.6.1",
      "os": "win",
      "version": "4.0.3",
      "date": "2026-10-29T09:07:44.000Z",
      "arch": "aarch64",
      "commit": "db21b7512cdc899198bbf416c7eee5d5a0b5c9f8",
      "fileid": "https://r2.ropensci.org/7821316a4257e29bef7f7ae900b86933950daf0fe9d448a8a49671c32c7977e9",
      "status": "success",
      "check": "WARNING",
      "buildurl": "https://github.com/r-universe/cran/actions/runs/40846349340"
    },
    {
      "r": "4.6.1",
      "os": "win",
      "version": "4.0.3",
      "date": "2026-10-29T09:06:06.000Z",
      "arch": "x86_64",
      "commit": "db21b7512cdc899198bbf416c7eee5d5a0b5c9f8",
      "fileid": "https://r2.ropensci.org/f4193a8d7851521db637954b5871052bb4a1a30a0221da2af7fd17eccddf9217",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/cran/actions/runs/40846349340"
    }
  ]
}