{
  "_id": "6aca7b0cfe5cc25786e89f1a",
  "Package": "ILS",
  "Type": "Package",
  "Title": "Interlaboratory Study",
  "Version": "0.2",
  "Date": "2018-03-06",
  "Authors@R": "c(\nperson(\"Miguel\",\"Flores\",role=c(\"aut\",\"cre\"), email=\"ma.flores@outlook.com\",\ncomment = c(ORCID = \"0000-0002-7742-1247\")),\nperson(\"Ruben\",\"Fernandez\",role=c(\"aut\"),\ncomment = c(ORCID = \"0000-0002-5785-3739\")),\nperson(\"Salvador\",\"Naya\",role=c(\"aut\"),\ncomment = c(ORCID = \"0000-0003-4931-9859\")),\nperson(\"Javier\",\"Tarrio-Saavedra\",role=c(\"aut\"),\ncomment = c(ORCID =\"0000-0002-9584-127X\")),\nperson(\"RStudio\", role = c(\"cph\", \"fnd\"))\n)",
  "Description": "It performs interlaboratory studies (ILS) to detect those\nlaboratories that provide non-consistent results when comparing\nto others. It permits to work simultaneously with various\ntesting materials, from standard univariate, and functional\ndata analysis (FDA) perspectives. The univariate approach based\non ASTM E691-08 consist of estimating the Mandel's h and k\nstatistics to identify those laboratories that provide more\nsignificant different results, testing also the presence of\noutliers by Cochran and Grubbs tests, Analysis of variance\n(ANOVA) techniques are provided (F and Tuckey tests) to test\ndifferences in means corresponding to different laboratories\nper each material. Taking into account the functional nature of\ndata retrieved in analytical chemistry, applied physics and\nengineering (spectra, thermograms, etc.). ILS package provides\na FDA approach for finding the Mandel's k and h statistics\ndistribution by smoothing bootstrap resampling.",
  "License": "GPL (>= 2)",
  "LazyData": "yes",
  "Author": "Miguel Flores [aut, cre], Ruben Fernandez [aut], Salvador Naya\n[aut], Javier Tarrio-Saavedra [aut]",
  "Maintainer": "Miguel Flores <ma.flores@outlook.com>",
  "RoxygenNote": "7.2.1",
  "Encoding": "UTF-8",
  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-10-10 16:43:35 UTC",
    "User": "root"
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  "URL": "https://github.com/mflores72000/ILS/",
  "BugReports": "https://github.com/mflores72000/ILS/issues",
  "VignetteBuilder": "knitr",
  "Config/pak/sysreqs": "make",
  "Repository": "https://mflores72000.r-universe.dev",
  "Date/Publication": "2022-10-10 20:23:20 UTC",
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  "_expires": "2027-01-18T17:51:04.000Z",
  "_created": "2026-10-10T16:43:35.000Z",
  "_published": "2026-10-10T17:51:07.856Z",
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    "author": "Nandomh123 <jonathanpallasco2@gmail.com>",
    "committer": "Nandomh123 <jonathanpallasco2@gmail.com>",
    "message": "Eliminación de la pestaña, tutorial.\n",
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  "_maintainer": {
    "name": "Miguel Flores",
    "email": "ma.flores@outlook.com",
    "orcid": "0000-0002-7742-1247"
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      "role": "Suggests"
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  "_userbio": {
    "uuid": 5751561,
    "type": "user",
    "name": "Miguel A. Flores Sánchez",
    "followers": 5
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    "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/ILS"
  },
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  "_devurl": "https://github.com/mflores72000/ils",
  "_searchresults": 75,
  "_rbuild": "4.6.1",
  "_assets": [
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    "extra/citation.html",
    "extra/citation.json",
    "extra/citation.txt",
    "extra/contents.json",
    "extra/ILS.html",
    "extra/manual.pdf",
    "extra/NEWS.html",
    "extra/NEWS.txt",
    "extra/readme.html",
    "extra/readme.md"
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  "_realowner": "mflores72000",
  "_cranurl": true,
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      "version": "0.1.0",
      "date": "2016-05-23"
    },
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      "version": "0.2",
      "date": "2018-03-06"
    },
    {
      "version": "0.3",
      "date": "2023-01-15"
    }
  ],
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    "boot.sim.set",
    "cochran.test",
    "func.ils.formula",
    "grubbs.test",
    "h.qcs",
    "ils.fqcdata",
    "ils.fqcs",
    "k.qcs",
    "lab.aov",
    "lab.qcdata",
    "lab.qcs",
    "mandel.fqcs",
    "outliers.ils"
  ],
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    {
      "name": "DSC",
      "title": "Differential Scanning Calorimetry curves",
      "object": "DSC",
      "class": [
        "matrix",
        "array"
      ],
      "fields": [],
      "rows": 90,
      "table": true,
      "tojson": true
    },
    {
      "name": "Glucose",
      "title": "Glucose in Serum",
      "object": "Glucose",
      "class": [
        "data.frame"
      ],
      "fields": [
        "Glucose",
        "Replicate",
        "Material",
        "Laboratory"
      ],
      "rows": 120,
      "table": true,
      "tojson": true
    },
    {
      "name": "IDT",
      "title": "Dataset composed of the initial decomposition temperature (IDT) of different samples of Calcium Oxalate, obtained by 7 different laboratories",
      "object": "IDT",
      "class": [
        "data.frame"
      ],
      "fields": [
        "IDT",
        "Sample",
        "Run",
        "Laboratory"
      ],
      "rows": 105,
      "table": true,
      "tojson": true
    },
    {
      "name": "TG",
      "title": "Thermogravimetry curves",
      "object": "TG",
      "class": [
        "matrix",
        "array"
      ],
      "fields": [],
      "rows": 105,
      "table": true,
      "tojson": true
    }
  ],
  "_help": [
    {
      "page": "boot.sim.set",
      "title": "Bootstrap samples of a functional statistic",
      "topics": [
        "boot.sim.set"
      ]
    },
    {
      "page": "cochran.test",
      "title": "Function to compute the Cochran test statistic",
      "topics": [
        "cochran.test",
        "cochran.test.default",
        "cochran.test.lab.qcdata"
      ]
    },
    {
      "page": "DSC",
      "title": "Differential Scanning Calorimetry curves",
      "topics": [
        "DSC"
      ]
    },
    {
      "page": "func.ils.formula",
      "title": "Descriptive measures for functional data.",
      "topics": [
        "func.ils.formula"
      ]
    },
    {
      "page": "Glucose",
      "title": "Glucose in Serum",
      "topics": [
        "Glucose"
      ]
    },
    {
      "page": "grubbs.test",
      "title": "Function to compute the Grubbs test statistic",
      "topics": [
        "grubbs.test",
        "grubbs.test.default",
        "grubbs.test.lab.qcdata"
      ]
    },
    {
      "page": "h.qcs",
      "title": "Function to estimate the univariate Mandel's h statistic",
      "topics": [
        "h.qcs",
        "h.qcs.default",
        "h.qcs.lab.qcdata"
      ]
    },
    {
      "page": "IDT",
      "title": "Dataset composed of the initial decomposition temperature (IDT) of different samples of Calcium Oxalate, obtained by 7 different laboratories",
      "topics": [
        "IDT"
      ]
    },
    {
      "page": "ILS",
      "title": "Interlaboratoty Study",
      "topics": [
        "ILS"
      ]
    },
    {
      "page": "ils.fqcdata",
      "title": "Functional Quality Control Data",
      "topics": [
        "ils.fqcdata"
      ]
    },
    {
      "page": "ils.fqcs",
      "title": "It developes an object of class 'ils.fqcs'",
      "topics": [
        "ils.fqcs",
        "ils.fqcs.default",
        "ils.fqcs.ils.fqcdata",
        "print.ils.fqcs",
        "summary.ils.fqcs"
      ]
    },
    {
      "page": "k.qcs",
      "title": "Function to calcute the Mandel's k statistic",
      "topics": [
        "k.qcs",
        "k.qcs.default",
        "k.qcs.lab.qcdata"
      ]
    },
    {
      "page": "lab.aov",
      "title": "Function to compute the AOV",
      "topics": [
        "lab.aov",
        "lab.aov.default",
        "lab.aov.lab.qcdata"
      ]
    },
    {
      "page": "lab.qcdata",
      "title": "Quality Control Data",
      "topics": [
        "lab.qcdata"
      ]
    },
    {
      "page": "lab.qcs",
      "title": "Create an object of class 'lab.qcs' to perform statistical quality control. This function is used to compute statistics required for plotting Statitics",
      "topics": [
        "lab.qcs",
        "print.lab.qcs",
        "summary.lab.qcs"
      ]
    },
    {
      "page": "mandel.fqcs",
      "title": "This function is used to compute the FDA Mandel's h and k statistic",
      "topics": [
        "mandel.fqcs",
        "mandel.fqcs.default",
        "mandel.fqcs.ils.fqcdata"
      ]
    },
    {
      "page": "outliers.ils",
      "title": "Detecting outliers for functional dataset",
      "topics": [
        "outliers.ils"
      ]
    },
    {
      "page": "plot.ils.fqcdata",
      "title": "Plotting method for 'ils.fqcdata' objects",
      "topics": [
        "plot.ils.fqcdata"
      ]
    },
    {
      "page": "plot.ils.fqcs",
      "title": "Plotting method for 'ils.fqcs' objects",
      "topics": [
        "plot.ils.fqcs"
      ]
    },
    {
      "page": "plot.lab.qcdata",
      "title": "Plot method for 'lab.qcdata' objects",
      "topics": [
        "plot.lab.qcdata"
      ]
    },
    {
      "page": "plot.lab.qcs",
      "title": "Plot method for 'lab.qcs' objects",
      "topics": [
        "plot.lab.qcs"
      ]
    },
    {
      "page": "plot.mandel.fqcs",
      "title": "Plotting method for 'mandel.fqcs' objects",
      "topics": [
        "plot.mandel.fqcs"
      ]
    },
    {
      "page": "TG",
      "title": "Thermogravimetry curves",
      "topics": [
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      ]
    }
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