{
  "_id": "6a1414dfacfb0bcc41d3be5f",
  "Package": "mcr",
  "Version": "1.3.3.1",
  "Date": "2023-10-04",
  "Title": "Method Comparison Regression",
  "Maintainer": "Sergej Potapov <sergej.potapov@roche.com>",
  "Authors@R": "c(\nperson(\"Sergej\", \"Potapov\", , \"sergej.potapov@roche.com\", role = c(\"aut\", \"cre\"), comment=c(ORCID=\"0009-0002-6251-0279\")),\nperson(\"Fabian\", \"Model\", , , role = c(\"aut\")),\nperson(\"Andre\", \"Schuetzenmeister\", , \"andre.schuetzenmeister@roche.com\", role = c(\"aut\"), comment=c(ORCID=\"0000-0002-2964-5502\")),\nperson(\"Ekaterina\", \"Manuilova\", , \"ekaterina.manuilova@roche.com\", role = c(\"aut\")),\nperson(\"Florian\", \"Dufey\", , \"florian.dufey@roche.com\", role = c(\"aut\"), comment = c(ORCID = \"0000-0001-6467-8556\")),\nperson(\"Jakob\", \"Raymaekers\", ,\"jakob.raymaekers@kuleuven.com\", role = c(\"aut\"), comment=c(ORCID=\"0000-0002-2093-3137\")),\nperson(given = \"Venkatraman E.\", family = \"Seshan\", role = c(\"ctb\"), email = \"seshanv@mskcc.org\"),\nperson(\"Roche\", role = c(\"cph\", \"fnd\"))\n)",
  "Copyright": "This package includes code from the 'clinfun' library owned\nby Ventatraman E. Seshan (ktau.r and ktau.f).",
  "Description": "Regression methods to quantify the relation between two\nmeasurement methods are provided by this package. In particular\nit addresses regression problems with errors in both variables\nand without repeated measurements. It implements the CLSI\nrecommendations (see J. A. Budd et al. (2018,\n<https://clsi.org/standards/products/method-evaluation/documents/ep09/>)\nfor analytical method comparison and bias estimation using\npatient samples. Furthermore, algorithms for Theil-Sen and\nequivariant Passing-Bablok estimators are implemented, see F.\nDufey (2020, <doi:10.1515/ijb-2019-0157>) and J. Raymaekers and\nF. Dufey (2022, <arXiv:2202:08060>). A comprehensive overview\nover the implemented methods and references can be found in the\nmanual pages \"mcr-package\" and \"mcreg\".",
  "License": "GPL (>= 3)",
  "Collate": "\"mcrMisc.r\" \"mcLinReg.r\" \"mcDeming.r\" \"mcWDeming.r\"\n\"mcPaBaLarge.r\" \"mcPaBa.r\" \"mcPBequi.r\" \"mcCalcCI.r\"\n\"mcCalcTstar.r\" \"mcBootstrap.r\" \"MCResultMethods.r\"\n\"MCResult.r\" \"MCResultAnalyticalMethods.r\"\n\"MCResultAnalytical.r\" \"MCResultJackknifeMethods.r\"\n\"MCResultJackknife.r\" \"MCResultResamplingMethods.r\"\n\"MCResultResampling.r\" \"MCResultBCaMethods.r\" \"MCResultBCa.r\"\n\"mcrInterface.r\" \"mcrCompareFit.r\" \"mcrIncludeLegend.r\" \"zzz.r\"\n\"ktau.r\"",
  "RoxygenNote": "7.2.3",
  "LazyData": "true",
  "NeedsCompilation": "yes",
  "Packaged": {
    "Date": "2026-05-25 09:19:42 UTC",
    "User": "root"
  },
  "Author": "Sergej Potapov [aut, cre]\n(<https://orcid.org/0009-0002-6251-0279>), Fabian Model [aut],\nAndre Schuetzenmeister [aut]\n(<https://orcid.org/0000-0002-2964-5502>), Ekaterina Manuilova\n[aut], Florian Dufey [aut]\n(<https://orcid.org/0000-0001-6467-8556>), Jakob Raymaekers\n[aut] (<https://orcid.org/0000-0002-2093-3137>), Venkatraman E.\nSeshan [ctb], Roche [cph, fnd]",
  "Repository": "https://cran.r-universe.dev",
  "Date/Publication": "2024-09-24 03:02:17 UTC",
  "RemoteUrl": "https://github.com/cran/mcr",
  "RemoteRef": "HEAD",
  "RemoteSha": "3d72540bf23a60eb7980ffb58da0f173f749a61c",
  "MD5sum": "0265b19711d27e8f869ef4b80b4ca132",
  "_user": "cran",
  "_type": "src",
  "_file": "mcr_1.3.3.1.tar.gz",
  "_fileid": "839600b8ec995bbc4b8efcc1a12aaeb2626db5c11c2dbb1d9287a088cf919502",
  "_filesize": 451346,
  "_sha256": "839600b8ec995bbc4b8efcc1a12aaeb2626db5c11c2dbb1d9287a088cf919502",
  "_created": "2026-05-25T09:19:42.000Z",
  "_published": "2026-05-25T09:22:39.650Z",
  "_distro": "noble",
  "_jobs": [
    {
      "job": 77687483302,
      "time": 129,
      "config": "linux-devel-arm64",
      "r": "4.7.0",
      "check": "OK",
      "artifact": "7195387107"
    },
    {
      "job": 77687483377,
      "time": 110,
      "config": "linux-devel-x86_64",
      "r": "4.7.0",
      "check": "OK",
      "artifact": "7195382720"
    },
    {
      "job": 77687483299,
      "time": 110,
      "config": "linux-release-arm64",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7195382629"
    },
    {
      "job": 77687483316,
      "time": 110,
      "config": "linux-release-x86_64",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7195382330"
    },
    {
      "job": 77687143492,
      "time": 155,
      "config": "source",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7195354059"
    },
    {
      "job": 77687483260,
      "time": 140,
      "config": "wasm-release",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7195389204"
    }
  ],
  "_buildurl": "https://github.com/r-universe/cran/actions/runs/26392910535",
  "_status": "success",
  "_host": "GitHub-Actions",
  "_upstream": "https://github.com/cran/mcr",
  "_commit": {
    "id": "3d72540bf23a60eb7980ffb58da0f173f749a61c",
    "author": "Sergej Potapov <sergej.potapov@roche.com>",
    "committer": "cran-robot <csardi.gabor+cran@gmail.com>",
    "message": "version 1.3.3.1\n",
    "time": 1727146937
  },
  "_maintainer": {
    "name": "Sergej Potapov",
    "email": "sergej.potapov@roche.com"
  },
  "_registered": true,
  "_dependencies": [
    {
      "package": "R",
      "version": ">= 3.0.0",
      "role": "Depends"
    },
    {
      "package": "parallel",
      "role": "Depends"
    },
    {
      "package": "robslopes",
      "role": "Depends"
    },
    {
      "package": "stats",
      "role": "Imports"
    },
    {
      "package": "graphics",
      "role": "Imports"
    },
    {
      "package": "grDevices",
      "role": "Imports"
    },
    {
      "package": "methods",
      "role": "Imports"
    }
  ],
  "_owner": "cran",
  "_selfowned": false,
  "_usedby": 6,
  "_updates": [],
  "_tags": [],
  "_stars": 1,
  "_userbio": {
    "uuid": 6899542,
    "type": "organization",
    "name": "cran",
    "description": "Unofficial read-only mirror of all CRAN R packages"
  },
  "_downloads": {
    "count": 2066,
    "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/mcr"
  },
  "_mentions": 15,
  "_searchresults": 96,
  "_topics": [
    "fortran"
  ],
  "_rbuild": "4.6.0",
  "_assets": [
    "extra/citation.cff",
    "extra/citation.html",
    "extra/citation.json",
    "extra/citation.txt",
    "extra/contents.json",
    "extra/mcr.html",
    "manual.pdf"
  ],
  "_realowner": "cran",
  "_cranurl": false,
  "_releases": [
    {
      "version": "1.1",
      "date": "2012-07-24"
    },
    {
      "version": "1.2",
      "date": "2014-02-05"
    },
    {
      "version": "1.2.1",
      "date": "2014-02-12"
    },
    {
      "version": "1.2.2",
      "date": "2021-04-23"
    },
    {
      "version": "1.3.0",
      "date": "2022-10-24"
    },
    {
      "version": "1.3.1",
      "date": "2022-11-09"
    },
    {
      "version": "1.3.2",
      "date": "2023-01-27"
    },
    {
      "version": "1.3.3",
      "date": "2023-10-11"
    },
    {
      "version": "1.3.3.1",
      "date": "2024-09-23"
    }
  ],
  "_exports": [
    "calcBias",
    "calcCUSUM",
    "calcResponse",
    "coef",
    "compareFit",
    "getCoefficients",
    "getData",
    "getErrorRatio",
    "getFitted",
    "getRegmethod",
    "getResiduals",
    "getRJIF",
    "getWeights",
    "includeLegend",
    "mcreg",
    "MCResult.calcBias",
    "MCResult.calcCUSUM",
    "MCResult.calcResponse",
    "MCResult.getCoefficients",
    "MCResult.getData",
    "MCResult.getErrorRatio",
    "MCResult.getFitted",
    "MCResult.getRegmethod",
    "MCResult.getResiduals",
    "MCResult.getWeights",
    "MCResult.initialize",
    "MCResult.plot",
    "MCResult.plotBias",
    "MCResult.plotDifference",
    "MCResult.plotResiduals",
    "MCResult.printSummary",
    "MCResultAnalytical.calcResponse",
    "MCResultAnalytical.initialize",
    "MCResultAnalytical.printSummary",
    "MCResultBCa.bootstrapSummary",
    "MCResultBCa.calcResponse",
    "MCResultBCa.initialize",
    "MCResultBCa.plotBootstrapCoefficients",
    "MCResultBCa.plotBootstrapT",
    "MCResultBCa.printSummary",
    "MCResultJackknife.calcResponse",
    "MCResultJackknife.getJackknifeIntercept",
    "MCResultJackknife.getJackknifeSlope",
    "MCResultJackknife.getJackknifeStatistics",
    "MCResultJackknife.getRJIF",
    "MCResultJackknife.initialize",
    "MCResultJackknife.plotwithRJIF",
    "MCResultJackknife.printSummary",
    "MCResultResampling.bootstrapSummary",
    "MCResultResampling.calcResponse",
    "MCResultResampling.initialize",
    "MCResultResampling.plotBootstrapCoefficients",
    "MCResultResampling.plotBootstrapT",
    "MCResultResampling.printSummary",
    "plot",
    "plotBias",
    "plotDifference",
    "plotResiduals",
    "plotwithRJIF",
    "printSummary",
    "summary"
  ],
  "_datasets": [
    {
      "name": "creatinine",
      "title": "Comparison of blood and serum creatinine measurement",
      "object": "creatinine",
      "class": [
        "data.frame"
      ],
      "fields": [
        "serum.crea",
        "plasma.crea"
      ],
      "rows": 110,
      "table": true,
      "tojson": true
    }
  ],
  "_help": [
    {
      "page": "mcr-package",
      "title": "Method Comparison Regression",
      "topics": [
        "mcr-package",
        "mcr"
      ]
    },
    {
      "page": "calcDiff",
      "title": "Calculate difference between two numeric vectors that gives exactly zero for very small relative differences.",
      "topics": [
        "calcDiff"
      ]
    },
    {
      "page": "compareFit",
      "title": "Graphical Comparison of Regression Parameters and Associated Confidence Intervals",
      "topics": [
        "compareFit"
      ]
    },
    {
      "page": "creatinine",
      "title": "Comparison of blood and serum creatinine measurement",
      "topics": [
        "creatinine"
      ]
    },
    {
      "page": "includeLegend",
      "title": "Include Legend",
      "topics": [
        "includeLegend"
      ]
    },
    {
      "page": "mc.analytical.ci",
      "title": "Analytical Confidence Interval",
      "topics": [
        "mc.analytical.ci"
      ]
    },
    {
      "page": "mc.bootstrap",
      "title": "Resampling estimation of regression parameters and standard errors.",
      "topics": [
        "mc.bootstrap"
      ]
    },
    {
      "page": "mc.calc.bca",
      "title": "Bias Corrected and Accelerated Resampling Confidence Interval",
      "topics": [
        "mc.calc.bca"
      ]
    },
    {
      "page": "mc.calc.quant",
      "title": "Quantile Calculation for BCa",
      "topics": [
        "mc.calc.quant"
      ]
    },
    {
      "page": "mc.calc.quantile",
      "title": "Quantile Method for Calculation of Resampling Confidence Intervals",
      "topics": [
        "mc.calc.quantile"
      ]
    },
    {
      "page": "mc.calc.Student",
      "title": "Student Method for Calculation of Resampling Confidence Intervals",
      "topics": [
        "mc.calc.Student"
      ]
    },
    {
      "page": "mc.calc.tboot",
      "title": "Bootstrap-t Method for Calculation of Resampling Confidence Intervals",
      "topics": [
        "mc.calc.tboot"
      ]
    },
    {
      "page": "mc.calcAngleMat",
      "title": "Calculate Matrix of All Pair-wise Slope Angles",
      "topics": [
        "mc.calcAngleMat"
      ]
    },
    {
      "page": "mc.calcAngleMat.R",
      "title": "Calculate Matrix of All Pair-wise Slope Angles",
      "topics": [
        "mc.calcAngleMat.R"
      ]
    },
    {
      "page": "mc.calcLinnetCI",
      "title": "Jackknife Confidence Interval",
      "topics": [
        "mc.calcLinnetCI"
      ]
    },
    {
      "page": "mc.calcTstar",
      "title": "Compute Resampling T-statistic.",
      "topics": [
        "mc.calcTstar"
      ]
    },
    {
      "page": "mc.deming",
      "title": "Calculate Unweighted Deming Regression and Estimate Standard Errors",
      "topics": [
        "mc.deming"
      ]
    },
    {
      "page": "mc.linreg",
      "title": "Calculate ordinary linear Regression and Estimate Standard Errors",
      "topics": [
        "mc.linreg"
      ]
    },
    {
      "page": "mc.make.CIframe",
      "title": "Returns Results of Calculations in Matrix Form",
      "topics": [
        "mc.make.CIframe"
      ]
    },
    {
      "page": "mc.paba",
      "title": "Passing-Bablok Regression",
      "topics": [
        "mc.paba"
      ]
    },
    {
      "page": "mc.paba.LargeData",
      "title": "Passing-Bablok Regression for Large Datasets",
      "topics": [
        "mc.paba.LargeData"
      ]
    },
    {
      "page": "mc.PBequi",
      "title": "Equivariant Passing-Bablok Regression",
      "topics": [
        "mc.PBequi"
      ]
    },
    {
      "page": "mc.wdemingConstCV",
      "title": "Calculate Weighted Deming Regression",
      "topics": [
        "mc.wdemingConstCV"
      ]
    },
    {
      "page": "mc.wlinreg",
      "title": "Calculate Weighted Ordinary Linear Regression and Estimate Standard Errors",
      "topics": [
        "mc.wlinreg"
      ]
    },
    {
      "page": "mcreg",
      "title": "Comparison of Two Measurement Methods Using Regression Analysis",
      "topics": [
        "mcreg"
      ]
    },
    {
      "page": "MCResult-class",
      "title": "Class '\"MCResult\"'",
      "topics": [
        "calcBias,MCResult-method",
        "calcCUSUM,MCResult-method",
        "calcResponse,MCResult-method",
        "coef,MCResult-method",
        "getCoefficients,MCResult-method",
        "getData,MCResult-method",
        "getErrorRatio,MCResult-method",
        "getFitted,MCResult-method",
        "getRegmethod,MCResult-method",
        "getResiduals,MCResult-method",
        "getWeights,MCResult-method",
        "MCResult-class",
        "plot,MCResult-method",
        "plotBias,MCResult-method",
        "plotDifference,MCResult-method",
        "plotResiduals,MCResult-method",
        "printSummary,MCResult-method",
        "summary,MCResult-method"
      ]
    },
    {
      "page": "MCResult.calcBias",
      "title": "Systematical Bias Between Reference Method and Test Method",
      "topics": [
        "calcBias",
        "MCResult.calcBias"
      ]
    },
    {
      "page": "MCResult.calcCUSUM",
      "title": "Calculate CUSUM Statistics According to Passing & Bablok (1983)",
      "topics": [
        "calcCUSUM",
        "MCResult.calcCUSUM"
      ]
    },
    {
      "page": "MCResult.calcResponse",
      "title": "Calculate Response with Confidence Interval.",
      "topics": [
        "calcResponse",
        "MCResult.calcResponse"
      ]
    },
    {
      "page": "MCResult.getCoefficients",
      "title": "Get Regression Coefficients",
      "topics": [
        "coef",
        "getCoefficients",
        "MCResult.getCoefficients"
      ]
    },
    {
      "page": "MCResult.getData",
      "title": "Get Data",
      "topics": [
        "getData",
        "MCResult.getData"
      ]
    },
    {
      "page": "MCResult.getErrorRatio",
      "title": "Get Error Ratio",
      "topics": [
        "getErrorRatio",
        "MCResult.getErrorRatio"
      ]
    },
    {
      "page": "MCResult.getFitted",
      "title": "Get Fitted Values.",
      "topics": [
        "getFitted",
        "MCResult.getFitted"
      ]
    },
    {
      "page": "MCResult.getRegmethod",
      "title": "Get Regression Method",
      "topics": [
        "getRegmethod",
        "MCResult.getRegmethod"
      ]
    },
    {
      "page": "MCResult.getResiduals",
      "title": "Get Regression Residuals",
      "topics": [
        "getResiduals",
        "MCResult.getResiduals"
      ]
    },
    {
      "page": "MCResult.getWeights",
      "title": "Get Weights of Data Points",
      "topics": [
        "getWeights",
        "MCResult.getWeights"
      ]
    },
    {
      "page": "MCResult.initialize",
      "title": "MCResult Object Initialization",
      "topics": [
        "MCResult.initialize"
      ]
    },
    {
      "page": "MCResult.plot",
      "title": "Scatter Plot Method X vs. Method Y",
      "topics": [
        "MCResult.plot",
        "plot",
        "plot.mcr"
      ]
    },
    {
      "page": "MCResult.plotBias",
      "title": "Plot Estimated Systematical Bias with Confidence Bounds",
      "topics": [
        "MCResult.plotBias",
        "plotBias"
      ]
    },
    {
      "page": "MCResult.plotDifference",
      "title": "Bland-Altman Plot",
      "topics": [
        "MCResult.plotDifference",
        "plotDifference"
      ]
    },
    {
      "page": "MCResult.plotResiduals",
      "title": "Plot Residuals of an MCResult Object",
      "topics": [
        "MCResult.plotResiduals",
        "plotResiduals"
      ]
    },
    {
      "page": "MCResult.printSummary",
      "title": "Print Summary of a Regression Analysis",
      "topics": [
        "MCResult.printSummary",
        "printSummary",
        "summary"
      ]
    },
    {
      "page": "MCResultAnalytical-class",
      "title": "Class '\"MCResultAnalytical\"'",
      "topics": [
        "calcResponse,MCResultAnalytical-method",
        "MCResultAnalytical-class",
        "printSummary,MCResultAnalytical-method",
        "summary,MCResultAnalytical-method"
      ]
    },
    {
      "page": "MCResultAnalytical.calcResponse",
      "title": "Caluculate Response",
      "topics": [
        "MCResultAnalytical.calcResponse"
      ]
    },
    {
      "page": "MCResultAnalytical.initialize",
      "title": "Initialize Method for 'MCResultAnalytical' Objects.",
      "topics": [
        "MCResultAnalytical.initialize"
      ]
    },
    {
      "page": "MCResultAnalytical.printSummary",
      "title": "Print Regression-Analysis Summary for Objects of class 'MCResultAnalytical'.",
      "topics": [
        "MCResultAnalytical.printSummary"
      ]
    },
    {
      "page": "MCResultBCa-class",
      "title": "Class '\"MCResultBCa\"'",
      "topics": [
        "calcResponse,MCResultBCa-method",
        "MCResultBCa-class",
        "printSummary,MCResultBCa-method",
        "summary,MCResultBCa-method"
      ]
    },
    {
      "page": "MCResultBCa.bootstrapSummary",
      "title": "Compute Bootstrap-Summary for 'MCResultBCa' Objects.",
      "topics": [
        "MCResultBCa.bootstrapSummary"
      ]
    },
    {
      "page": "MCResultBCa.calcResponse",
      "title": "Caluculate Response",
      "topics": [
        "MCResultBCa.calcResponse"
      ]
    },
    {
      "page": "MCResultBCa.initialize",
      "title": "Initialize Method for 'MCResultBCa' Objects.",
      "topics": [
        "MCResultBCa.initialize"
      ]
    },
    {
      "page": "MCResultBCa.plotBootstrapCoefficients",
      "title": "Plot distriblution of bootstrap coefficients",
      "topics": [
        "MCResultBCa.plotBootstrapCoefficients"
      ]
    },
    {
      "page": "MCResultBCa.plotBootstrapT",
      "title": "Plot distriblution of bootstrap pivot T",
      "topics": [
        "MCResultBCa.plotBootstrapT"
      ]
    },
    {
      "page": "MCResultBCa.printSummary",
      "title": "Print Regression-Analysis Summary for Objects of class 'MCResultBCa'.",
      "topics": [
        "MCResultBCa.printSummary"
      ]
    },
    {
      "page": "MCResultJackknife-class",
      "title": "Class '\"MCResultJackknife\"'",
      "topics": [
        "calcResponse,MCResultJackknife-method",
        "getRJIF,MCResultJackknife-method",
        "MCResultJackknife-class",
        "plotwithRJIF,MCResultJackknife-method",
        "printSummary,MCResultJackknife-method",
        "summary,MCResultJackknife-method"
      ]
    },
    {
      "page": "MCResultJackknife.calcResponse",
      "title": "Caluculate Response",
      "topics": [
        "MCResultJackknife.calcResponse"
      ]
    },
    {
      "page": "MCResultJackknife.getJackknifeIntercept",
      "title": "Get-Method for Jackknife-Intercept Value.",
      "topics": [
        "MCResultJackknife.getJackknifeIntercept"
      ]
    },
    {
      "page": "MCResultJackknife.getJackknifeSlope",
      "title": "Get-Method for Jackknife-Slope Value.",
      "topics": [
        "MCResultJackknife.getJackknifeSlope"
      ]
    },
    {
      "page": "MCResultJackknife.getJackknifeStatistics",
      "title": "Jackknife Statistics",
      "topics": [
        "MCResultJackknife.getJackknifeStatistics"
      ]
    },
    {
      "page": "MCResultJackknife.getRJIF",
      "title": "Relative Jackknife Influence Function",
      "topics": [
        "getRJIF",
        "MCResultJackknife.getRJIF"
      ]
    },
    {
      "page": "MCResultJackknife.initialize",
      "title": "Initialize Method for 'MCResultJackknife' Objects.",
      "topics": [
        "MCResultJackknife.initialize"
      ]
    },
    {
      "page": "MCResultJackknife.plotwithRJIF",
      "title": "Plotting the Relative Jackknife Influence Function",
      "topics": [
        "MCResultJackknife.plotwithRJIF",
        "plotwithRJIF"
      ]
    },
    {
      "page": "MCResultJackknife.printSummary",
      "title": "Print Regression-Analysis Summary for Objects of class 'MCResultJackknife'.",
      "topics": [
        "MCResultJackknife.printSummary"
      ]
    },
    {
      "page": "MCResultResampling-class",
      "title": "Class '\"MCResultResampling\"'",
      "topics": [
        "calcResponse,MCResultResampling-method",
        "MCResultResampling-class",
        "printSummary,MCResultResampling-method",
        "summary,MCResultResampling-method"
      ]
    },
    {
      "page": "MCResultResampling.bootstrapSummary",
      "title": "Compute Bootstrap-Summary for 'MCResultResampling' Objects.",
      "topics": [
        "MCResultResampling.bootstrapSummary"
      ]
    },
    {
      "page": "MCResultResampling.calcResponse",
      "title": "Caluculate Response",
      "topics": [
        "MCResultResampling.calcResponse"
      ]
    },
    {
      "page": "MCResultResampling.initialize",
      "title": "Initialize Method for 'MCResultAnalytical' Objects.",
      "topics": [
        "MCResultResampling.initialize"
      ]
    },
    {
      "page": "MCResultResampling.plotBootstrapCoefficients",
      "title": "Plot distriblution of bootstrap coefficients",
      "topics": [
        "MCResultResampling.plotBootstrapCoefficients"
      ]
    },
    {
      "page": "MCResultResampling.plotBootstrapT",
      "title": "Plot distriblution of bootstrap pivot T",
      "topics": [
        "MCResultResampling.plotBootstrapT"
      ]
    },
    {
      "page": "MCResultResampling.printSummary",
      "title": "Print Regression-Analysis Summary for Objects of class 'MCResultResampling'.",
      "topics": [
        "MCResultResampling.printSummary"
      ]
    },
    {
      "page": "newMCResult",
      "title": "MCResult Object Constructor with Matrix in Wide Format as Input",
      "topics": [
        "newMCResult"
      ]
    },
    {
      "page": "newMCResultAnalytical",
      "title": "MCResultAnalytical object constructor with matrix in wide format as input.",
      "topics": [
        "newMCResultAnalytical"
      ]
    },
    {
      "page": "newMCResultBCa",
      "title": "MCResultBCa object constructor with matrix in wide format as input.",
      "topics": [
        "newMCResultBCa"
      ]
    },
    {
      "page": "newMCResultJackknife",
      "title": "MCResultJackknife Object Constructor with Matrix in Wide Format as Input",
      "topics": [
        "newMCResultJackknife"
      ]
    },
    {
      "page": "newMCResultResampling",
      "title": "MCResultResampling object constructor with matrix in wide format as input.",
      "topics": [
        "newMCResultResampling"
      ]
    }
  ],
  "_rundeps": [
    "Rcpp",
    "RcppArmadillo",
    "robslopes"
  ],
  "_sysdeps": [
    {
      "shlib": "libgfortran",
      "package": "libgfortran5",
      "source": "gcc",
      "version": "14.2.0-4ubuntu2~24.04.1",
      "name": "fortran",
      "homepage": "http://gcc.gnu.org/",
      "description": "Runtime library for GNU Fortran applications"
    }
  ],
  "_score": 4.552674055326476,
  "_indexed": true,
  "_nocasepkg": "mcr",
  "_universes": [
    "cran"
  ],
  "_binaries": [
    {
      "r": "4.7.0",
      "os": "linux",
      "version": "1.3.3.1",
      "date": "2026-05-25T09:21:50.000Z",
      "distro": "noble",
      "arch": "aarch64",
      "commit": "3d72540bf23a60eb7980ffb58da0f173f749a61c",
      "fileid": "9693be291bd3784fc742487574dcc824e5d663fd40732d4eb6ca31c35a04c502",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/cran/actions/runs/26392910535"
    },
    {
      "r": "4.7.0",
      "os": "linux",
      "version": "1.3.3.1",
      "date": "2026-05-25T09:21:32.000Z",
      "distro": "noble",
      "arch": "x86_64",
      "commit": "3d72540bf23a60eb7980ffb58da0f173f749a61c",
      "fileid": "3352c93163b636f948a6b6c4cc88fb2df4812f679324ece10dc0ab80a493b1bc",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/cran/actions/runs/26392910535"
    },
    {
      "r": "4.6.0",
      "os": "linux",
      "version": "1.3.3.1",
      "date": "2026-05-25T09:21:33.000Z",
      "distro": "noble",
      "arch": "aarch64",
      "commit": "3d72540bf23a60eb7980ffb58da0f173f749a61c",
      "fileid": "293325fef0ffea85e18b5a761e346cc91d3a6cc8310b16a63cd5430db2688de8",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/cran/actions/runs/26392910535"
    },
    {
      "r": "4.6.0",
      "os": "linux",
      "version": "1.3.3.1",
      "date": "2026-05-25T09:21:29.000Z",
      "distro": "noble",
      "arch": "x86_64",
      "commit": "3d72540bf23a60eb7980ffb58da0f173f749a61c",
      "fileid": "fe5b9d1035a8459a60e1d39f677ad0280e53c880b468428df2b769da7bb9c14a",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/cran/actions/runs/26392910535"
    },
    {
      "r": "4.6.0",
      "os": "wasm",
      "version": "1.3.3.1",
      "date": "2026-05-25T09:22:20.000Z",
      "arch": "emscripten",
      "commit": "3d72540bf23a60eb7980ffb58da0f173f749a61c",
      "fileid": "d767ecbc1bf39e6d6fd68d2d5bedfc9a9c4d91ba8cd0fbfda33889a57aa73e77",
      "status": "success",
      "buildurl": "https://github.com/r-universe/cran/actions/runs/26392910535"
    }
  ]
}