{
  "_id": "6acb8077fe5cc25786e90e75",
  "Package": "truncSP",
  "Title": "Semi-Parametric Estimators of Truncated Regression Models",
  "Version": "1.2.4",
  "Authors@R": "c(person(given = \"Anita\",\nfamily = \"Lindmark\",\nrole = c(\"aut\", \"cre\", \"cph\"),\nemail = \"anita.lindmark@umu.se\"),\nperson(given = \"Maria\",\nfamily = \"Karlsson\",\nrole = \"aut\",\nemail = \"maria.karlsson@umu.se\"))",
  "Description": "Estimators for semi-parametric linear regression models\nwith truncated response variables (fixed truncation point). The\nestimators implemented are the Symmetrically Trimmed Least\nSquares (STLS) estimator introduced by Powell (1986)\n<doi:10.2307/1914308>, the Quadratic Mode (QME) estimator\nintroduced by Lee (1993) <doi:10.1016/0304-4076(93)90056-B>,\nand the Left Truncated (LT) estimator introduced by Karlsson\n(2006) <doi:10.1007/s00184-005-0023-x>.",
  "License": "GPL (>= 2)",
  "Encoding": "UTF-8",
  "LazyData": "true",
  "Collate": "'PM10-data.R' 'PM10trunc-data.R' 'bootconfint.R'\n'covar.boot.R' 'funcval.LT.R' 'mlcoef.R' 'funcLT.R'\n'funcval.QME.R' 'funcQME.R' 'funcval.STLS.R' 'funcSTLS.R'\n'lt-class.R' 'lt.fit.R' 'lt.R' 'summary.lt-class.R'\n'ltmethods.r' 'qme-class.R' 'qme.fit.R' 'qme.R'\n'summary.qme-class.R' 'qmemethods.r' 'stls-class.R'\n'stls.fit.R' 'stls.R' 'summary.stls-class.R' 'stlsmethods.r'\n'truncSP-package.R'",
  "RoxygenNote": "7.3.3",
  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-10-11 12:23:54 UTC",
    "User": "root"
  },
  "Author": "Anita Lindmark [aut, cre, cph], Maria Karlsson [aut]",
  "Maintainer": "Anita Lindmark <anita.lindmark@umu.se>",
  "Repository": "https://anitalindmark.r-universe.dev",
  "Date/Publication": "2025-09-11 14:35:31 UTC",
  "RemoteUrl": "https://github.com/cran/truncSP",
  "RemoteRef": "HEAD",
  "RemoteSha": "26e933ccba37a3f532bb4a8ba85a67416c58c4ed",
  "_user": "anitalindmark",
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  "_expires": "2027-01-19T12:26:29.000Z",
  "_created": "2026-10-11T12:23:54.000Z",
  "_published": "2026-10-11T12:26:31.403Z",
  "_buildurl": "https://github.com/r-universe/anitalindmark/actions/runs/38138925581",
  "_status": "success",
  "_host": "GitHub-Actions",
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    "author": "Anita Lindmark <anita.lindmark@umu.se>",
    "committer": "cran-robot <csardi.gabor+cran@gmail.com>",
    "message": "version 1.2.4\n",
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    "login": "anitalindmark",
    "description": "",
    "uuid": 51156130
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    {
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    {
      "package": "truncreg",
      "role": "Imports"
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    {
      "package": "boot",
      "role": "Imports"
    }
  ],
  "_owner": "cran",
  "_selfowned": true,
  "_usedby": 1,
  "_updates": [],
  "_tags": [],
  "_stars": 0,
  "_contributors": [
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      "count": 1,
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    "type": "user",
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  "_downloads": {
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    "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/truncSP"
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  "_searchresults": 23,
  "_rbuild": "4.6.1",
  "_assets": [
    "extra/citation.cff",
    "extra/citation.html",
    "extra/citation.json",
    "extra/citation.txt",
    "extra/contents.json",
    "extra/manual.pdf",
    "extra/NEWS.html",
    "extra/NEWS.txt",
    "extra/truncSP.html"
  ],
  "_realowner": "anitalindmark",
  "_cranurl": false,
  "_releases": [
    {
      "version": "1.0",
      "date": "2011-06-04"
    },
    {
      "version": "1.1",
      "date": "2011-09-07"
    },
    {
      "version": "1.2",
      "date": "2013-05-13"
    },
    {
      "version": "1.2.1",
      "date": "2013-11-20"
    },
    {
      "version": "1.2.2",
      "date": "2014-05-05"
    },
    {
      "version": "1.2.4",
      "date": "2025-09-11"
    }
  ],
  "_exports": [
    "bootconfint",
    "covar.boot",
    "funcLT",
    "funcQME",
    "funcSTLS",
    "funcval.LT",
    "funcval.QME",
    "funcval.STLS",
    "lt",
    "lt.fit",
    "mlcoef",
    "qme",
    "qme.fit",
    "stls",
    "stls.fit"
  ],
  "_datasets": [
    {
      "name": "PM10",
      "title": "Air pollution data",
      "object": "PM10",
      "class": [
        "data.frame"
      ],
      "fields": [
        "PM10",
        "cars",
        "temp",
        "wind.speed",
        "temp.diff",
        "wind.dir",
        "hour",
        "day"
      ],
      "rows": 500,
      "table": true,
      "tojson": true
    },
    {
      "name": "PM10trunc",
      "title": "Air pollution data (Truncated)",
      "object": "PM10trunc",
      "class": [
        "data.frame"
      ],
      "fields": [
        "PM10",
        "cars",
        "temp",
        "wind.speed",
        "temp.diff",
        "wind.dir",
        "hour",
        "day"
      ],
      "rows": 460,
      "table": true,
      "tojson": true
    }
  ],
  "_help": [
    {
      "page": "truncSP-package",
      "title": "Estimators of semi-parametric truncated regression models",
      "topics": [
        "truncSP-package",
        "truncSP"
      ]
    },
    {
      "page": "bootconfint",
      "title": "Function to obtain bootstrap confidence intervals (percentile)",
      "topics": [
        "bootconfint"
      ]
    },
    {
      "page": "coef.lt",
      "title": "Function to extract model coefficients for objects of class '\"lt\"'",
      "topics": [
        "coef.lt"
      ]
    },
    {
      "page": "coef.qme",
      "title": "Function to extract model coefficients for objects of class '\"qme\"'",
      "topics": [
        "coef.qme"
      ]
    },
    {
      "page": "coef.stls",
      "title": "Function to extract model coefficients for objects of class '\"stls\"'",
      "topics": [
        "coef.stls"
      ]
    },
    {
      "page": "covar.boot",
      "title": "Function to obtain bootstrap covariance matrix",
      "topics": [
        "covar.boot"
      ]
    },
    {
      "page": "fitted.lt",
      "title": "Function to obtain fitted values from objects of class '\"lt\"'",
      "topics": [
        "fitted.lt"
      ]
    },
    {
      "page": "fitted.qme",
      "title": "Function to obtain fitted values from objects of class '\"qme\"'",
      "topics": [
        "fitted.qme"
      ]
    },
    {
      "page": "fitted.stls",
      "title": "Function to obtain fitted values from objects of class '\"stls\"'",
      "topics": [
        "fitted.stls"
      ]
    },
    {
      "page": "funcLT",
      "title": "Function to be used by boot to obtain bootstrap replicates of the parameters estimated with QME",
      "topics": [
        "funcLT"
      ]
    },
    {
      "page": "funcQME",
      "title": "Function to be used by boot to obtain bootstrap replicates of the parameters estimated with QME",
      "topics": [
        "funcQME"
      ]
    },
    {
      "page": "funcSTLS",
      "title": "Function to be used by boot to obtain bootstrap replicates of the parameters estimated with STLS",
      "topics": [
        "funcSTLS"
      ]
    },
    {
      "page": "funcval.LT",
      "title": "LT objective function",
      "topics": [
        "funcval.LT"
      ]
    },
    {
      "page": "funcval.QME",
      "title": "QME objective function",
      "topics": [
        "funcval.QME"
      ]
    },
    {
      "page": "funcval.STLS",
      "title": "STLS objective function",
      "topics": [
        "funcval.STLS"
      ]
    },
    {
      "page": "lt",
      "title": "Estimation of truncated regression models using the Left Truncated (LT) estimator",
      "topics": [
        "lt"
      ]
    },
    {
      "page": "lt-class",
      "title": "An S4 class for objects from the 'lt' function",
      "topics": [
        "lt-class"
      ]
    },
    {
      "page": "lt.fit",
      "title": "Function for fitting LT",
      "topics": [
        "lt.fit"
      ]
    },
    {
      "page": "mlcoef",
      "title": "Gives the starting coefficients from fitting a maximum likelihood model for truncated regression, assuming Gaussian errors",
      "topics": [
        "mlcoef"
      ]
    },
    {
      "page": "PM10",
      "title": "Air pollution data",
      "topics": [
        "PM10"
      ]
    },
    {
      "page": "PM10trunc",
      "title": "Air pollution data (Truncated)",
      "topics": [
        "PM10trunc"
      ]
    },
    {
      "page": "print.lt",
      "title": "Print function for objects of class '\"lt\"'",
      "topics": [
        "print.lt"
      ]
    },
    {
      "page": "print.qme",
      "title": "Print function for objects of class '\"qme\"'",
      "topics": [
        "print.qme"
      ]
    },
    {
      "page": "print.stls",
      "title": "Print function for objects of class '\"stls\"'",
      "topics": [
        "print.stls"
      ]
    },
    {
      "page": "print.summary.lt",
      "title": "Print function for objects of class '\"summary.lt\"'",
      "topics": [
        "print.summary.lt"
      ]
    },
    {
      "page": "print.summary.qme",
      "title": "Print function for objects of class '\"summary.qme\"'",
      "topics": [
        "print.summary.qme"
      ]
    },
    {
      "page": "print.summary.stls",
      "title": "Print function for objects of class '\"summary.stls\"'",
      "topics": [
        "print.summary.stls"
      ]
    },
    {
      "page": "qme",
      "title": "Estimation of truncated regression models using the Quadratic Mode Estimator (QME)",
      "topics": [
        "qme"
      ]
    },
    {
      "page": "qme-class",
      "title": "An S4 class for objects from the 'qme' function",
      "topics": [
        "qme-class"
      ]
    },
    {
      "page": "qme.fit",
      "title": "Function for fitting QME",
      "topics": [
        "qme.fit"
      ]
    },
    {
      "page": "residuals.lt",
      "title": "Function to extract model residuals from objects of class '\"lt\"'",
      "topics": [
        "residuals.lt"
      ]
    },
    {
      "page": "residuals.qme",
      "title": "Function to extract model residuals from objects of class '\"stls\"'",
      "topics": [
        "residuals.qme"
      ]
    },
    {
      "page": "residuals.stls",
      "title": "Function to extract model residuals from objects of class '\"stls\"'",
      "topics": [
        "residuals.stls"
      ]
    },
    {
      "page": "stls",
      "title": "Estimation of truncated regression models using the Symmetrically Trimmed Least Squares (STLS) estimator",
      "topics": [
        "stls"
      ]
    },
    {
      "page": "stls-class",
      "title": "An S4 class for objects from the 'stls' function",
      "topics": [
        "stls-class"
      ]
    },
    {
      "page": "stls.fit",
      "title": "Function for fitting STLS",
      "topics": [
        "stls.fit"
      ]
    },
    {
      "page": "summary.lt",
      "title": "Summary function for objects of class '\"lt\"'",
      "topics": [
        "summary.lt"
      ]
    },
    {
      "page": "summary.lt-class",
      "title": "An S4 class for objects from the 'summary.lt' function",
      "topics": [
        "summary.lt-class"
      ]
    },
    {
      "page": "summary.qme",
      "title": "Summary function for objects of class '\"qme\"'",
      "topics": [
        "summary.qme"
      ]
    },
    {
      "page": "summary.qme-class",
      "title": "An S4 class for objects from the 'summary.qme' function",
      "topics": [
        "summary.qme-class"
      ]
    },
    {
      "page": "summary.stls",
      "title": "Summary function for objects of class '\"stls\"'",
      "topics": [
        "summary.stls"
      ]
    },
    {
      "page": "summary.stls-class",
      "title": "An S4 class for objects from the 'summary.stls' function",
      "topics": [
        "summary.stls-class"
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    {
      "page": "vcov.lt",
      "title": "Function to obtain the variance-covariance matrix for objects of class '\"lt\"'",
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      ]
    },
    {
      "page": "vcov.qme",
      "title": "Function to obtain the variance-covariance matrix for objects of class '\"qme\"'",
      "topics": [
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      ]
    },
    {
      "page": "vcov.stls",
      "title": "Function to obtain the variance-covariance matrix for objects of class '\"stls\"'",
      "topics": [
        "vcov.stls"
      ]
    }
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    "digest",
    "generics",
    "lattice",
    "maxLik",
    "miscTools",
    "sandwich",
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