{
  "_id": "6a1d49c21d7bb097a0a42e47",
  "Package": "pim",
  "Type": "Package",
  "Title": "Fit Probabilistic Index Models",
  "Version": "2.0.3",
  "Date": "2025-01-07",
  "Authors@R": "c(person(\"Joris\",\"Meys\", email = \"Joris.Meys@UGent.be\", role = c('aut', 'cre')),\nperson(\"Jan\",\"De Neve\", email = \"Jan.DeNeve@UGent.be\", role = 'aut'),\nperson(\"Nick\",\"Sabbe\", role = 'aut'),\nperson(\"Gustavo\", \"Guimaraes de Castro Amorim\", role = 'aut'))",
  "Author": "Joris Meys [aut, cre], Jan De Neve [aut], Nick Sabbe [aut],\nGustavo Guimaraes de Castro Amorim [aut]",
  "Maintainer": "Joris Meys <Joris.Meys@UGent.be>",
  "Description": "Fit a probabilistic index model as described in Thas et\nal, 2012: <doi:10.1111/j.1467-9868.2011.01020.x>. The interface\nto the modeling function has changed in this new version. The\nold version is still available at R-Forge.",
  "License": "GPL (>= 2)",
  "URL": "https://github.com/CenterForStatistics-UGent/pim",
  "BugReports": "https://github.com/CenterForStatistics-UGent/pim/issues",
  "Collate": "'CreateScoreFun.R' 'DysData.R' 'EngelData.R' 'Estimators.R'\n'pim.poset-class.R' 'pim.environment-class.R' 'pim-package.R'\n'pim.formula-class.R' 'pim-class.R' 'pim.summary-class.R'\n'Extract.pim.summary.R' 'FEVData.R' 'Getters.R' 'Getters_pim.R'\n'Getters_pim.formula.R' 'InternalFunctions.R'\n'InternalObjects.R' 'LR.R' 'MHData.R' 'P.R' 'SUData.R'\n'add.poset.R' 'as.data.frame.pim.environment.R'\n'as.matrix.pim.summary.R' 'coef.R' 'confint.pim.R'\n'create.poset.R' 'formula.R' 'has.intercept.R' 'is.complete.R'\n'make.posfun.R' 'model.matrix.pim.R' 'new.pim.R'\n'new.pim.env.R' 'new.pim.formula.R' 'new.pim.poset.R' 'nobs.R'\n'penv.R' 'pim.R' 'pim.fit.R' 'pimdata.R' 'poset.R' 'print.R'\n'response.R' 'sandwich.estimator.R' 'summary.R' 'vcov.R'\n'vcov.estimators.R' 'vcov.internal.R' 'zzz.R'",
  "RoxygenNote": "7.3.2",
  "Encoding": "UTF-8",
  "Repository": "https://centerforstatistics-ugent.r-universe.dev",
  "Date/Publication": "2025-01-07 09:15:18 UTC",
  "RemoteUrl": "https://github.com/centerforstatistics-ugent/pim",
  "RemoteRef": "HEAD",
  "RemoteSha": "b1c13668d74fe2d0c47e3f57113a4004d8176dd5",
  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-06-01 08:55:01 UTC",
    "User": "root"
  },
  "MD5sum": "087e2d28f69674719b6c88304bb88b12",
  "_user": "centerforstatistics-ugent",
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  "_file": "pim_2.0.3.tar.gz",
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  "_created": "2026-06-01T08:55:01.000Z",
  "_published": "2026-06-01T08:58:42.594Z",
  "_distro": "noble",
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    "author": "Joris Meys <Joris.Meys@UGent.be>",
    "committer": "Joris Meys <Joris.Meys@UGent.be>",
    "message": "Changes demanded by CRAN\n",
    "time": 1736241318
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    "email": "joris.meys@ugent.be",
    "login": "jofam",
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    "description": "",
    "uuid": 809906
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      "package": "methods",
      "role": "Imports"
    },
    {
      "package": "utils",
      "role": "Imports"
    },
    {
      "package": "stats4",
      "role": "Imports"
    },
    {
      "package": "nleqslv",
      "role": "Imports"
    },
    {
      "package": "BB",
      "role": "Imports"
    },
    {
      "package": "testthat",
      "role": "Suggests"
    },
    {
      "package": "MASS",
      "role": "Suggests"
    }
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  "_owner": "centerforstatistics-ugent",
  "_selfowned": true,
  "_usedby": 0,
  "_updates": [],
  "_tags": [],
  "_topics": [
    "modelling",
    "statistics"
  ],
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  "_contributors": [
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      "count": 18,
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    "type": "organization",
    "name": "Ghent University - Center for Statistics",
    "description": "Repositories related to statistical research at Ghent University. "
  },
  "_downloads": {
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    "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/pim"
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  "_devurl": "https://github.com/centerforstatistics-ugent/pim",
  "_searchresults": 40,
  "_rbuild": "4.6.0",
  "_assets": [
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    "extra/citation.html",
    "extra/citation.json",
    "extra/citation.txt",
    "extra/contents.json",
    "extra/NEWS.html",
    "extra/NEWS.txt",
    "extra/pim.html",
    "extra/readme.html",
    "extra/readme.md",
    "manual.pdf"
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  "_homeurl": "https://github.com/centerforstatistics-ugent/pim",
  "_realowner": "centerforstatistics-ugent",
  "_cranurl": true,
  "_releases": [
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      "date": "2016-06-27"
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    },
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      "date": "2020-02-03"
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  ],
  "_exports": [
    "add.poset",
    "as.data.frame",
    "as.matrix",
    "classes",
    "coef",
    "compare",
    "confint",
    "create.poset",
    "estimator.BB",
    "estimator.glm",
    "estimator.nleqslv",
    "fitted",
    "formula",
    "has.intercept",
    "has.specials",
    "is.complete",
    "keep.data",
    "L",
    "lhs",
    "link",
    "model",
    "model.matrix",
    "new.pim.env",
    "new.pim.formula",
    "new.pim.poset",
    "nobs",
    "P",
    "penv",
    "pim",
    "pim.fit",
    "PO",
    "poset",
    "PP",
    "print",
    "R",
    "response",
    "sandwich.vcov",
    "score.vcov",
    "summary",
    "terms",
    "vcov"
  ],
  "_datasets": [
    {
      "name": "DysData",
      "title": "This is the Dysphagia data",
      "object": "DysData",
      "file": "DysData.rda",
      "class": [
        "data.frame"
      ],
      "fields": [
        "out",
        "Chemo",
        "SNP_XRCC1__77",
        "SPC_D2",
        "SNP_XRCC1__77TC"
      ],
      "rows": 188,
      "table": true,
      "tojson": true
    },
    {
      "name": "EngelData",
      "title": "This is the engel data",
      "object": "EngelData",
      "file": "EngelData.rda",
      "class": [
        "data.frame"
      ],
      "fields": [
        "income",
        "foodexp"
      ],
      "rows": 235,
      "table": true,
      "tojson": true
    },
    {
      "name": "FEVData",
      "title": "This is the Childhood respiratory disease data",
      "object": "FEVData",
      "file": "FEVData.rda",
      "class": [
        "data.frame"
      ],
      "fields": [
        "Age",
        "FEV",
        "Height",
        "Sex",
        "Smoke"
      ],
      "rows": 654,
      "table": true,
      "tojson": true
    },
    {
      "name": "MHData",
      "title": "This is the Mental health data",
      "object": "MHData",
      "file": "MHData.rda",
      "class": [
        "data.frame"
      ],
      "fields": [
        "mental",
        "ses",
        "life"
      ],
      "rows": 40,
      "table": true,
      "tojson": true
    },
    {
      "name": "SUData",
      "title": "This is the Surgical unit data",
      "object": "SUData",
      "file": "SUData.rda",
      "class": [
        "data.frame"
      ],
      "fields": [
        "EnT",
        "Gender",
        "Alcohol",
        "SurvivalTime"
      ],
      "rows": 54,
      "table": true,
      "tojson": true
    }
  ],
  "_help": [
    {
      "page": "pim-package",
      "title": "Probabilistic Index Models",
      "topics": [
        "pim-package"
      ]
    },
    {
      "page": "make.posfun",
      "title": "Create a poset function",
      "topics": [
        ".make.posfun"
      ]
    },
    {
      "page": "add.poset",
      "title": "Add a poset to a pim.environment object",
      "topics": [
        "add.poset",
        "add.poset,pim.environment-method"
      ]
    },
    {
      "page": "as.data.frame",
      "title": "Convert a pim.environment to a data frame",
      "topics": [
        "as.data.frame",
        "as.data.frame,pim.environment-method"
      ]
    },
    {
      "page": "as.matrix.pim.summary",
      "title": "Convert a pim.summary object to a matrix",
      "topics": [
        "as.matrix",
        "as.matrix,pim-method",
        "as.matrix,pim.summary-method",
        "as.matrix.pim.summary"
      ]
    },
    {
      "page": "classes",
      "title": "Extract information from pim.environment and pim.poset objects",
      "topics": [
        "classes",
        "classes,pim.environment-method",
        "compare",
        "compare,pim.environment-method",
        "compare,pim.poset-method",
        "link",
        "link,pim-method",
        "link,pim.summary-method",
        "model",
        "model,pim-method",
        "model,pim.summary-method",
        "names",
        "names,pim.environment-method",
        "names,pim.poset-method"
      ]
    },
    {
      "page": "coef",
      "title": "Extract the coefficients from a pim or pim.summary object",
      "topics": [
        "coef",
        "coef,pim-method",
        "coef,pim.summary-method"
      ]
    },
    {
      "page": "confint.pim",
      "title": "Calculate Wald confidence intervals around the coefficients of a PIM",
      "topics": [
        "confint",
        "confint,pim-method",
        "confint,pim.summary-method",
        "confint.pim",
        "confint.pim.summary"
      ]
    },
    {
      "page": "create.poset",
      "title": "Create a poset",
      "topics": [
        "create.poset"
      ]
    },
    {
      "page": "CreateScoreFun",
      "title": "Create a score function for use in a pim.",
      "topics": [
        "CreateScoreFun"
      ]
    },
    {
      "page": "DysData",
      "title": "This is the Dysphagia data",
      "topics": [
        "DysData"
      ]
    },
    {
      "page": "EngelData",
      "title": "This is the engel data",
      "topics": [
        "EngelData"
      ]
    },
    {
      "page": "estimators",
      "title": "Estimator functions for probabilistic index models",
      "topics": [
        "estimator.BB",
        "estimator.glm",
        "estimator.nleqslv",
        "estimators"
      ]
    },
    {
      "page": "Extract.pim.summary",
      "title": "Extract method for pim.summary objects",
      "topics": [
        "Extract.pim.summary",
        "[,pim.summary-method"
      ]
    },
    {
      "page": "FEVData",
      "title": "This is the Childhood respiratory disease data",
      "topics": [
        "FEVData"
      ]
    },
    {
      "page": "formula",
      "title": "Extract the formula from a pim or pim.formula object",
      "topics": [
        "formula",
        "formula,pim-method",
        "formula,pim.formula-method"
      ]
    },
    {
      "page": "has.intercept",
      "title": "Check whether formula has an explicit intercept",
      "topics": [
        "has.intercept",
        "has.intercept,character-method",
        "has.intercept,formula-method",
        "has.intercept,pim-method",
        "has.intercept,pim.formula-method",
        "has.intercept,terms-method"
      ]
    },
    {
      "page": "getters-pim.formula",
      "title": "Extract information from a pim.formula object",
      "topics": [
        "has.specials",
        "has.specials,pim.formula-method",
        "lhs",
        "lhs,",
        "lhs,pim.formula-method",
        "terms",
        "terms,",
        "terms,pim.formula-method"
      ]
    },
    {
      "page": "is.complete",
      "title": "Check whether a pim environment is complete",
      "topics": [
        "is.complete"
      ]
    },
    {
      "page": "L",
      "title": "Specify the left hand and right hand side of an expression used in pims",
      "topics": [
        "L",
        "PP",
        "R"
      ]
    },
    {
      "page": "MHData",
      "title": "This is the Mental health data",
      "topics": [
        "MHData"
      ]
    },
    {
      "page": "model.matrix.pim",
      "title": "Create a model matrix for a probabilistic index model",
      "topics": [
        "model.matrix",
        "model.matrix,pim-method",
        "model.matrix,pim.formula-method",
        "model.matrix.pim",
        "model.matrix.pim.formula"
      ]
    },
    {
      "page": "new.pim",
      "title": "Create an object of class pim",
      "topics": [
        "new.pim"
      ]
    },
    {
      "page": "new.pim.env",
      "title": "Constructor for a pim.environment",
      "topics": [
        "new.pim.env",
        "new.pim.env,ANY-method",
        "new.pim.env,data.frame-method",
        "new.pim.env,environment-method",
        "new.pim.env,list-method",
        "new.pim.env,missing-method"
      ]
    },
    {
      "page": "new.pim.formula",
      "title": "Constructor for pim.formula",
      "topics": [
        "new.pim.formula",
        "new.pim.formula,formula,ANY-method",
        "new.pim.formula,formula,pim.environment-method"
      ]
    },
    {
      "page": "new.pim.poset",
      "title": "Create a pim.poset environment",
      "topics": [
        "new.pim.poset",
        "new.pim.poset,character,numeric-method",
        "new.pim.poset,list,missing-method",
        "new.pim.poset,list,numeric-method",
        "new.pim.poset,matrix,missing-method",
        "new.pim.poset,matrix,numeric-method",
        "new.pim.poset,missing,numeric-method"
      ]
    },
    {
      "page": "nobs",
      "title": "Extract the number of observations",
      "topics": [
        "nobs,data.frame-method",
        "nobs,matrix-method",
        "nobs,pim.environment-method",
        "nobs,pim.poset-method"
      ]
    },
    {
      "page": "P",
      "title": "Probability function",
      "topics": [
        "P",
        "PO"
      ]
    },
    {
      "page": "penv",
      "title": "Extract a pim environment from a model or formula",
      "topics": [
        "penv",
        "penv,pim-method",
        "penv,pim.formula-method"
      ]
    },
    {
      "page": "pim",
      "title": "Fitting a Probabilistic Index Model",
      "topics": [
        "pim"
      ]
    },
    {
      "page": "pim-class",
      "title": "Class pim",
      "topics": [
        "pim-class"
      ]
    },
    {
      "page": "pim-getters",
      "title": "Getters for slots of a pim object",
      "topics": [
        "fitted",
        "fitted,pim-method",
        "getters-pim",
        "keep.data",
        "pim-getters"
      ]
    },
    {
      "page": "pim.environment-class",
      "title": "The pim.environment class",
      "topics": [
        "pim.environment",
        "pim.environment-class"
      ]
    },
    {
      "page": "pim.fit",
      "title": "Fitter function for a probabilistic index model",
      "topics": [
        "pim.fit"
      ]
    },
    {
      "page": "pim.formula-class",
      "title": "Class pim.formula",
      "topics": [
        "pim.formula",
        "pim.formula-class"
      ]
    },
    {
      "page": "pim.poset-class",
      "title": "The pim.poset class",
      "topics": [
        "pim.poset",
        "pim.poset-class"
      ]
    },
    {
      "page": "pim.summary-class",
      "title": "Class pim.summary",
      "topics": [
        "pim.summary",
        "pim.summary-class"
      ]
    },
    {
      "page": "pimdata",
      "title": "The data contained in the pim package",
      "topics": [
        "pimdata"
      ]
    },
    {
      "page": "poset",
      "title": "Extract the poset as a matrix or list",
      "topics": [
        "poset",
        "poset,environment-method",
        "poset,pim-method",
        "poset,pim.environment-method",
        "poset,pim.formula-method",
        "poset,pim.poset-method"
      ]
    },
    {
      "page": "print",
      "title": "Print methods for the different object types",
      "topics": [
        "print",
        "print,pim-method",
        "print,pim.environment-method",
        "print,pim.formula-method",
        "print,pim.poset-method"
      ]
    },
    {
      "page": "response",
      "title": "Extract response from a pim.formula or a pim object",
      "topics": [
        "response",
        "response,pim-method",
        "response,pim.formula-method"
      ]
    },
    {
      "page": "sandwich.estimator",
      "title": "Pseudo-observation variance sandwich estimator",
      "topics": [
        "sandwich.estimator",
        "score.estimator"
      ]
    },
    {
      "page": "SUData",
      "title": "This is the Surgical unit data",
      "topics": [
        "SUData"
      ]
    },
    {
      "page": "summary.pim",
      "title": "The summary function for the pim class",
      "topics": [
        "summary",
        "summary,pim-method",
        "summary.pim"
      ]
    },
    {
      "page": "vcov",
      "title": "Methods for vcov",
      "topics": [
        "vcov",
        "vcov,list-method",
        "vcov,pim-method"
      ]
    },
    {
      "page": "vcov.estimators",
      "title": "vcov estimators for pim",
      "topics": [
        "sandwich.vcov",
        "score.vcov",
        "vcov.estimators"
      ]
    },
    {
      "page": "vcov.internal",
      "title": "Internal functions for vcov estimation",
      "topics": [
        "U.sandwich",
        "U.score",
        "vcov.internal"
      ]
    }
  ],
  "_readme": "https://github.com/centerforstatistics-ugent/pim/raw/HEAD/README.md",
  "_rundeps": [
    "BB",
    "nleqslv",
    "quadprog"
  ],
  "_vignettes": [
    {
      "source": "pim.Rnw",
      "filename": "pim.pdf",
      "title": "An R package for fitting probabilistic index models",
      "engine": "utils::Sweave",
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