{
  "_id": "6a1041e1acfb0bcc41c9d99a",
  "Package": "bestglm",
  "Type": "Package",
  "Title": "Best Subset GLM and Regression Utilities",
  "Version": "0.37.3",
  "Date": "2020-03-13",
  "Author": "A.I. McLeod, Changjiang Xu and Yuanhao Lai",
  "Maintainer": "Yuanhao Lai <ylai72@uwo.ca>",
  "Description": "Best subset glm using information criteria or\ncross-validation, carried by using 'leaps' algorithm (Furnival\nand Wilson, 1974) <doi:10.2307/1267601> or complete enumeration\n(Morgan and Tatar, 1972) <doi:10.1080/00401706.1972.10488918>.\nImplements PCR and PLS using AIC/BIC. Implements one-standard\ndeviation rule for use with the 'caret' package.",
  "LazyLoad": "yes",
  "LazyData": "yes",
  "Classification/ACM": "G.3, G.4, I.5.1",
  "Classification/MSC": "62M10, 91B84",
  "License": "GPL (>= 2)",
  "NeedsCompilation": "yes",
  "Packaged": {
    "Date": "2026-05-11 07:36:10 UTC",
    "User": "root"
  },
  "Repository": "https://cliffordlai.r-universe.dev",
  "Date/Publication": "2020-03-13 09:10:02 UTC",
  "RemoteUrl": "https://github.com/cran/bestglm",
  "RemoteRef": "HEAD",
  "RemoteSha": "d022e904cc278bb87c43b6e3a9fe35d938cd4214",
  "MD5sum": "d2ab3fd8f3deb4f7b38268e18f3148b5",
  "_user": "cliffordlai",
  "_type": "src",
  "_file": "bestglm_0.37.3.tar.gz",
  "_fileid": "f6b44d967834420fa77f3b43d165e41f695a2f5075755769e4be8bde62ecc3d8",
  "_filesize": 1108429,
  "_sha256": "f6b44d967834420fa77f3b43d165e41f695a2f5075755769e4be8bde62ecc3d8",
  "_created": "2026-05-11T07:36:10.000Z",
  "_published": "2026-05-22T11:45:37.802Z",
  "_distro": "noble",
  "_jobs": [
    {
      "job": 77372978391,
      "time": 151,
      "config": "linux-devel-x86_64",
      "r": "4.7.0",
      "check": "OK",
      "artifact": "6912795111"
    },
    {
      "job": 77372978176,
      "time": 139,
      "config": "linux-release-x86_64",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "6912793481"
    },
    {
      "job": 77372978349,
      "time": 166,
      "config": "macos-oldrel-arm64",
      "r": "4.5.3",
      "check": "OK",
      "artifact": "6912790812"
    },
    {
      "job": 77372978258,
      "time": 131,
      "config": "macos-release-arm64",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "6912783708"
    },
    {
      "job": 77372977884,
      "time": 159,
      "config": "source",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "6912749589"
    },
    {
      "job": 77372977821,
      "time": 114,
      "config": "wasm-release",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7159698247"
    },
    {
      "job": 77372978111,
      "time": 103,
      "config": "windows-devel",
      "r": "4.7.0",
      "check": "OK",
      "artifact": "6912780541"
    },
    {
      "job": 77372978312,
      "time": 91,
      "config": "windows-oldrel",
      "r": "4.5.3",
      "check": "OK",
      "artifact": "6912776823"
    },
    {
      "job": 77372978333,
      "time": 101,
      "config": "windows-release",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "6912780159"
    }
  ],
  "_buildurl": "https://github.com/r-universe/cliffordlai/actions/runs/25656639849",
  "_status": "success",
  "_host": "GitHub-Actions",
  "_upstream": "https://github.com/cran/bestglm",
  "_commit": {
    "id": "d022e904cc278bb87c43b6e3a9fe35d938cd4214",
    "author": "Yuanhao Lai <ylai72@uwo.ca>",
    "committer": "cran-robot <csardi.gabor+cran@gmail.com>",
    "message": "version 0.37.3\n",
    "time": 1584090602
  },
  "_maintainer": {
    "name": "Yuanhao Lai",
    "email": "ylai72@uwo.ca",
    "login": "cliffordlai",
    "uuid": 7490781
  },
  "_registered": true,
  "_dependencies": [
    {
      "package": "R",
      "version": ">= 3.1.0",
      "role": "Depends"
    },
    {
      "package": "leaps",
      "role": "Depends"
    },
    {
      "package": "lattice",
      "role": "Imports"
    },
    {
      "package": "glmnet",
      "role": "Imports"
    },
    {
      "package": "grpreg",
      "role": "Imports"
    },
    {
      "package": "pls",
      "role": "Imports"
    },
    {
      "package": "MASS",
      "role": "Suggests"
    },
    {
      "package": "caret",
      "role": "Enhances"
    }
  ],
  "_owner": "cran",
  "_selfowned": true,
  "_usedby": 3,
  "_updates": [],
  "_tags": [],
  "_stars": 0,
  "_contributors": [
    {
      "user": "angusian",
      "count": 12,
      "uuid": 62267905
    },
    {
      "user": "cliffordlai",
      "count": 1,
      "uuid": 7490781
    }
  ],
  "_userbio": {
    "uuid": 7490781,
    "type": "user",
    "name": "Yuanhao Lai"
  },
  "_downloads": {
    "count": 2914,
    "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/bestglm"
  },
  "_mentions": 22,
  "_searchresults": 550,
  "_rbuild": "4.6.0",
  "_assets": [
    "extra/bestglm.html",
    "extra/citation.cff",
    "extra/citation.html",
    "extra/citation.json",
    "extra/citation.txt",
    "extra/contents.json",
    "extra/NEWS.html",
    "extra/NEWS.txt",
    "manual.pdf"
  ],
  "_realowner": "cliffordlai",
  "_cranurl": false,
  "_releases": [
    {
      "version": "0.10",
      "date": "2009-08-27"
    },
    {
      "version": "0.13",
      "date": "2009-09-10"
    },
    {
      "version": "0.14",
      "date": "2009-10-19"
    },
    {
      "version": "0.20",
      "date": "2009-11-01"
    },
    {
      "version": "0.30",
      "date": "2010-08-29"
    },
    {
      "version": "0.31",
      "date": "2010-12-02"
    },
    {
      "version": "0.33",
      "date": "2011-11-03"
    },
    {
      "version": "0.34",
      "date": "2014-03-02"
    },
    {
      "version": "0.35",
      "date": "2017-02-06"
    },
    {
      "version": "0.36",
      "date": "2017-02-23"
    },
    {
      "version": "0.37",
      "date": "2018-05-27"
    },
    {
      "version": "0.37.1",
      "date": "2019-11-12"
    },
    {
      "version": "0.37.3",
      "date": "2020-03-13"
    }
  ],
  "_exports": [
    "bestglm",
    "CVd",
    "CVDH",
    "CVHTF",
    "dgrid",
    "fitted.pcreg",
    "glmnetGridTable",
    "glmnetPredict",
    "grpregPredict",
    "LOOCV",
    "NNPredict",
    "oneSDRule",
    "pcreg",
    "plot.pcreg",
    "plot1SDRule",
    "predict.pcreg",
    "print.bestglm",
    "print.pcreg",
    "residuals.pcreg",
    "sphereX",
    "summary.bestglm",
    "summary.pcreg",
    "to.binary",
    "trainTestPartition",
    "vifx"
  ],
  "_datasets": [
    {
      "name": "AirQuality",
      "title": "Daily ozone pollution with meteorlogical and date inputs",
      "object": "AirQuality",
      "class": [
        "data.frame"
      ],
      "fields": [
        "Solar.R",
        "Wind",
        "Temp",
        "month",
        "weekday",
        "Ozone"
      ],
      "rows": 111,
      "table": true,
      "tojson": true
    },
    {
      "name": "Detroit",
      "title": "Detroit homicide data for 1961-73 used in the book Subset Regression by A.J. Miller",
      "object": "Detroit",
      "class": [
        "data.frame"
      ],
      "fields": [
        "FTP.1",
        "UEMP.2",
        "MAN.3",
        "LIC.4",
        "GR.5",
        "CLEAR.6",
        "WM.7",
        "NMAN.8",
        "GOV.9",
        "HE.10",
        "WE.11",
        "ACC",
        "ASR",
        "HOM"
      ],
      "rows": 13,
      "table": true,
      "tojson": true
    },
    {
      "name": "Fires",
      "title": "Forest fires in Montesinho natural park. Standardized inputs.",
      "object": "Fires",
      "class": [
        "data.frame"
      ],
      "fields": [
        "xyarea",
        "month",
        "day",
        "FFMC",
        "DMC",
        "DC",
        "ISI",
        "temp",
        "RH",
        "wind",
        "rain",
        "lburned"
      ],
      "rows": 517,
      "table": true,
      "tojson": true
    },
    {
      "name": "hivif",
      "title": "Simulated Linear Regression (Train) with Nine Highly Correlated Inputs",
      "object": "hivif",
      "class": [
        "data.frame"
      ],
      "fields": [
        "x1",
        "x2",
        "x3",
        "x4",
        "x5",
        "x6",
        "x7",
        "x8",
        "x9",
        "y"
      ],
      "rows": 100,
      "table": true,
      "tojson": true
    },
    {
      "name": "Iowa",
      "title": "Iowa School Test",
      "object": "Iowa",
      "class": [
        "data.frame"
      ],
      "fields": [
        "City",
        "Poverty",
        "Test"
      ],
      "rows": 133,
      "table": true,
      "tojson": true
    },
    {
      "name": "manpower",
      "title": "Hospital manpower data",
      "object": "manpower",
      "class": [
        "data.frame"
      ],
      "fields": [
        "Load",
        "Xray",
        "BedDays",
        "AreaPop",
        "Stay",
        "Hours"
      ],
      "rows": 17,
      "table": true,
      "tojson": true
    },
    {
      "name": "mcdonald",
      "title": "Pollution dataset from McDonald and Schwing (1973)",
      "object": "mcdonald",
      "class": [
        "data.frame"
      ],
      "fields": [
        "PREC",
        "JANT",
        "JULT",
        "OVR65",
        "POPN",
        "EDUC",
        "HOUS",
        "DENS",
        "NONW",
        "WWDRK",
        "POOR",
        "HC",
        "NOX",
        "SOx",
        "HUMID",
        "MORT"
      ],
      "rows": 60,
      "table": true,
      "tojson": true
    },
    {
      "name": "MontesinhoFires",
      "title": "Forest fires in Montesinho natural park",
      "object": "MontesinhoFires",
      "class": [
        "data.frame"
      ],
      "fields": [
        "X",
        "Y",
        "month",
        "day",
        "FFMC",
        "DMC",
        "DC",
        "ISI",
        "temp",
        "RH",
        "wind",
        "rain",
        "burned"
      ],
      "rows": 517,
      "table": true,
      "tojson": true
    },
    {
      "name": "rubber",
      "title": "Abrasion loss for various hardness and tensile strength",
      "object": "rubber",
      "class": [
        "data.frame"
      ],
      "fields": [
        "hardness",
        "tensile.strength",
        "abrasion.loss",
        "ts.low",
        "ts.high"
      ],
      "rows": 30,
      "table": true,
      "tojson": true
    },
    {
      "name": "SAheart",
      "title": "South African Hearth Disease Data",
      "object": "SAheart",
      "class": [
        "data.frame"
      ],
      "fields": [
        "sbp",
        "tobacco",
        "ldl",
        "adiposity",
        "famhist",
        "typea",
        "obesity",
        "alcohol",
        "age",
        "chd"
      ],
      "rows": 462,
      "table": true,
      "tojson": true
    },
    {
      "name": "Shao",
      "title": "Simulated Regression Data",
      "object": "Shao",
      "class": [
        "data.frame"
      ],
      "fields": [
        "x2",
        "x3",
        "x4",
        "x5"
      ],
      "rows": 40,
      "table": true,
      "tojson": true
    },
    {
      "name": "znuclear",
      "title": "Nuclear plant data. Quantitative inputs logged and standardized.",
      "object": "znuclear",
      "class": [
        "data.frame"
      ],
      "fields": [
        "date",
        "T1",
        "T2",
        "capacity",
        "PR",
        "NE",
        "CT",
        "BW",
        "N",
        "PT",
        "cost"
      ],
      "rows": 32,
      "table": true,
      "tojson": true
    },
    {
      "name": "zprostate",
      "title": "Prostate cancer data. Standardized.",
      "object": "zprostate",
      "class": [
        "data.frame"
      ],
      "fields": [
        "lcavol",
        "lweight",
        "age",
        "lbph",
        "svi",
        "lcp",
        "gleason",
        "pgg45",
        "lpsa",
        "train"
      ],
      "rows": 97,
      "table": true,
      "tojson": true
    }
  ],
  "_help": [
    {
      "page": "bestglm-package",
      "title": "bestglm: Best Subset GLM",
      "topics": [
        "bestglm-package"
      ]
    },
    {
      "page": "AirQuality",
      "title": "Daily ozone pollution with meteorlogical and date inputs",
      "topics": [
        "AirQuality"
      ]
    },
    {
      "page": "to.binary",
      "title": "Binary representation of non-negative integer",
      "topics": [
        "to.binary"
      ]
    },
    {
      "page": "bestglm",
      "title": "Best Subset GLM using Information Criterion or Cross-Validation",
      "topics": [
        "bestglm"
      ]
    },
    {
      "page": "CVd",
      "title": "Cross-validation using delete-d method.",
      "topics": [
        "CVd"
      ]
    },
    {
      "page": "CVDH",
      "title": "Adjusted K-fold Cross-Validation",
      "topics": [
        "CVDH"
      ]
    },
    {
      "page": "CVHTF",
      "title": "K-fold Cross-Validation",
      "topics": [
        "CVHTF"
      ]
    },
    {
      "page": "Detroit",
      "title": "Detroit homicide data for 1961-73 used in the book Subset Regression by A.J. Miller",
      "topics": [
        "Detroit"
      ]
    },
    {
      "page": "dgrid",
      "title": "Scaled Variables Dependency Plots: Output vs Inputs",
      "topics": [
        "dgrid"
      ]
    },
    {
      "page": "Fires",
      "title": "Forest fires in Montesinho natural park. Standardized inputs.",
      "topics": [
        "Fires"
      ]
    },
    {
      "page": "fitted.pcreg",
      "title": "Fitted values in PCR and PLS.",
      "topics": [
        "fitted.pcreg"
      ]
    },
    {
      "page": "glmnetGridTable",
      "title": "Multipanel Display and Table Glmnet CV Output.",
      "topics": [
        "glmnetGridTable"
      ]
    },
    {
      "page": "glmnetPredict",
      "title": "Glmnet Prediction Using CVAV.",
      "topics": [
        "glmnetPredict"
      ]
    },
    {
      "page": "grpregPredict",
      "title": "Predictions on Test Data with Grpreg",
      "topics": [
        "grpregPredict"
      ]
    },
    {
      "page": "hivif",
      "title": "Simulated Linear Regression (Train) with Nine Highly Correlated Inputs",
      "topics": [
        "hivif"
      ]
    },
    {
      "page": "Iowa",
      "title": "Iowa School Test",
      "topics": [
        "Iowa"
      ]
    },
    {
      "page": "LOOCV",
      "title": "Leave-one-out cross-validation",
      "topics": [
        "LOOCV"
      ]
    },
    {
      "page": "manpower",
      "title": "Hospital manpower data",
      "topics": [
        "manpower"
      ]
    },
    {
      "page": "mcdonald",
      "title": "Pollution dataset from McDonald and Schwing (1973)",
      "topics": [
        "mcdonald"
      ]
    },
    {
      "page": "MontesinhoFires",
      "title": "Forest fires in Montesinho natural park",
      "topics": [
        "MontesinhoFires"
      ]
    },
    {
      "page": "NNPredict",
      "title": "Nearest Neighbour Regression Prediction",
      "topics": [
        "NNPredict"
      ]
    },
    {
      "page": "oneSDRule",
      "title": "Utility function. Implements the 1-sd rule.",
      "topics": [
        "oneSDRule"
      ]
    },
    {
      "page": "pcreg",
      "title": "Principal Component and Partial Least Squares Regression",
      "topics": [
        "pcreg"
      ]
    },
    {
      "page": "plot.pcreg",
      "title": "Diagnostic plots for PCR and PLS",
      "topics": [
        "plot.pcreg"
      ]
    },
    {
      "page": "plot1SDRule",
      "title": "Plot Regularization Path and One Standard Deviation Rule",
      "topics": [
        "plot1SDRule"
      ]
    },
    {
      "page": "predict.pcreg",
      "title": "Predict Method for Pcreg.",
      "topics": [
        "predict.pcreg"
      ]
    },
    {
      "page": "print.bestglm",
      "title": "Print method for `bestglm` object",
      "topics": [
        "print.bestglm"
      ]
    },
    {
      "page": "print.pcreg",
      "title": "Print method for `pcreg` object",
      "topics": [
        "print.pcreg"
      ]
    },
    {
      "page": "residuals.pcreg",
      "title": "Residuals Fitted PCR or PLS",
      "topics": [
        "resid.pcreg",
        "residuals.pcreg"
      ]
    },
    {
      "page": "rubber",
      "title": "Abrasion loss for various hardness and tensile strength",
      "topics": [
        "rubber"
      ]
    },
    {
      "page": "SAheart",
      "title": "South African Hearth Disease Data",
      "topics": [
        "SAheart"
      ]
    },
    {
      "page": "Shao",
      "title": "Simulated Regression Data",
      "topics": [
        "Shao"
      ]
    },
    {
      "page": "sphereX",
      "title": "Sphere Data Matrix",
      "topics": [
        "sphereX"
      ]
    },
    {
      "page": "summary.bestglm",
      "title": "summary of `bestglm` object",
      "topics": [
        "summary.bestglm"
      ]
    },
    {
      "page": "summary.pcreg",
      "title": "Summary Method for Pcreg.",
      "topics": [
        "summary.pcreg"
      ]
    },
    {
      "page": "trainTestPartition",
      "title": "Partition Dataframe into Train/Test Samples",
      "topics": [
        "trainTestPartition"
      ]
    },
    {
      "page": "vifx",
      "title": "Variance Inflation Factor for a Design Matrix",
      "topics": [
        "vifx"
      ]
    },
    {
      "page": "znuclear",
      "title": "Nuclear plant data. Quantitative inputs logged and standardized.",
      "topics": [
        "znuclear"
      ]
    },
    {
      "page": "zprostate",
      "title": "Prostate cancer data. Standardized.",
      "topics": [
        "zprostate"
      ]
    }
  ],
  "_rundeps": [
    "codetools",
    "foreach",
    "glmnet",
    "grpreg",
    "iterators",
    "lattice",
    "leaps",
    "Matrix",
    "pls",
    "Rcpp",
    "RcppEigen",
    "shape",
    "survival"
  ],
  "_score": 5.15909474636754,
  "_indexed": true,
  "_nocasepkg": "bestglm",
  "_universes": [
    "cliffordlai"
  ],
  "_binaries": [
    {
      "r": "4.7.0",
      "os": "linux",
      "version": "0.37.3",
      "date": "2026-05-11T07:38:24.000Z",
      "distro": "noble",
      "commit": "d022e904cc278bb87c43b6e3a9fe35d938cd4214",
      "fileid": "9d5585a3566fa505161901339bd21572f93f34feff451c2fbe0f1a9a2b86c1cd",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/cliffordlai/actions/runs/25656639849"
    },
    {
      "r": "4.6.0",
      "os": "linux",
      "version": "0.37.3",
      "date": "2026-05-11T07:38:25.000Z",
      "distro": "noble",
      "commit": "d022e904cc278bb87c43b6e3a9fe35d938cd4214",
      "fileid": "0e31084719b5d54e39d9a4c9aa2c7cd824ae7aa5ae8bfc23734b77961fd67ab0",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/cliffordlai/actions/runs/25656639849"
    },
    {
      "r": "4.5.3",
      "os": "mac",
      "version": "0.37.3",
      "date": "2026-05-11T07:38:25.000Z",
      "commit": "d022e904cc278bb87c43b6e3a9fe35d938cd4214",
      "fileid": "a7d3ba17e0f8167d40294467a356c678c544dc9df250449846e8b66fbc2e1727",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/cliffordlai/actions/runs/25656639849"
    },
    {
      "r": "4.6.0",
      "os": "mac",
      "version": "0.37.3",
      "date": "2026-05-11T07:38:03.000Z",
      "commit": "d022e904cc278bb87c43b6e3a9fe35d938cd4214",
      "fileid": "f9431bb2eee3298d3069a5f3870692a932a88c40acd8785c71fe19eb5549d47f",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/cliffordlai/actions/runs/25656639849"
    },
    {
      "r": "4.7.0",
      "os": "win",
      "version": "0.37.3",
      "date": "2026-05-11T07:37:32.000Z",
      "commit": "d022e904cc278bb87c43b6e3a9fe35d938cd4214",
      "fileid": "40bc81e6a97359c40f38659200792502adb72c775fe8bb4aea51b5dc42709ebe",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/cliffordlai/actions/runs/25656639849"
    },
    {
      "r": "4.5.3",
      "os": "win",
      "version": "0.37.3",
      "date": "2026-05-11T07:37:25.000Z",
      "commit": "d022e904cc278bb87c43b6e3a9fe35d938cd4214",
      "fileid": "bd2a95d6f639bc4f20698ae6019d06dd8674c158ef913c3cf326c362bd723b2e",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/cliffordlai/actions/runs/25656639849"
    },
    {
      "r": "4.6.0",
      "os": "win",
      "version": "0.37.3",
      "date": "2026-05-11T07:37:34.000Z",
      "commit": "d022e904cc278bb87c43b6e3a9fe35d938cd4214",
      "fileid": "188c9e73fab57111c3846e5482be2e8cb3ed88fb5ee870a9544b31d453dffea4",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/cliffordlai/actions/runs/25656639849"
    },
    {
      "r": "4.6.0",
      "os": "wasm",
      "version": "0.37.3",
      "date": "2026-05-22T11:45:17.000Z",
      "commit": "d022e904cc278bb87c43b6e3a9fe35d938cd4214",
      "fileid": "c29134135264dcd9d0259b5d5d80e1cf5a4ae03fc403c5e9a725ed60bda597fc",
      "status": "success",
      "buildurl": "https://github.com/r-universe/cliffordlai/actions/runs/25656639849"
    }
  ]
}