{
  "_id": "6a2a635b7b7a29ca6003f7f6",
  "Package": "MTSYS",
  "Type": "Package",
  "Title": "Methods in Mahalanobis-Taguchi (MT) System",
  "Version": "1.2.1",
  "Date": "2018-04-18",
  "Authors@R": "c(\nperson(\"Akifumi\", \"Okayama\", email = \"akifumi.okayama@akane.waseda.jp\",\nrole = c(\"aut\", \"cre\")),\nperson(\"Masato\", \"Ohkubo\", role = \"ctb\"),\nperson(\"Yasushi\", \"Nagata\", role = \"ctb\"))",
  "Description": "Mahalanobis-Taguchi (MT) system is a collection of\nmultivariate analysis methods developed for the field of\nquality engineering. MT system consists of two families\ndepending on their purpose. One is a family of\nMahalanobis-Taguchi (MT) methods (in the broad sense) for\ndiagnosis (see Woodall, W. H., Koudelik, R., Tsui, K. L., Kim,\nS. B., Stoumbos, Z. G., and Carvounis, C. P. (2003)\n<doi:10.1198/004017002188618626>) and the other is a family of\nTaguchi (T) methods for forecasting (see Kawada, H., and\nNagata, Y. (2015) <doi:10.17929/tqs.1.12>). The MT package\ncontains three basic methods for the family of MT methods and\none basic method for the family of T methods. The MT method (in\nthe narrow sense), the Mahalanobis-Taguchi Adjoint (MTA)\nmethods, and the Recognition-Taguchi (RT) method are for the MT\nmethod and the two-sided Taguchi (T1) method is for the family\nof T methods. In addition, the Ta and Tb methods, which are the\nimproved versions of the T1 method, are included.",
  "Encoding": "UTF-8",
  "License": "MIT + file LICENSE",
  "RoxygenNote": "6.0.1",
  "URL": "https://github.com/okayaa/MTSYS",
  "BugReports": "https://github.com/okayaa/MTSYS/issues",
  "Repository": "https://okayaa.r-universe.dev",
  "Date/Publication": "2021-03-11 13:38:14 UTC",
  "RemoteUrl": "https://github.com/okayaa/mtsys",
  "RemoteRef": "HEAD",
  "RemoteSha": "c3dae3fbafda23de591572d1fa5dcb5622812df3",
  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-06-11 07:23:45 UTC",
    "User": "root"
  },
  "Author": "Akifumi Okayama [aut, cre],\nMasato Ohkubo [ctb],\nYasushi Nagata [ctb]",
  "Maintainer": "Akifumi Okayama <akifumi.okayama@akane.waseda.jp>",
  "MD5sum": "e667689286a25c580dd32bf2637a9f31",
  "_user": "okayaa",
  "_type": "src",
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  "_created": "2026-06-11T07:23:45.000Z",
  "_published": "2026-06-11T07:27:23.486Z",
  "_distro": "noble",
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    "message": "Update general_T.R\n\nHandled the case when all eta_hats are 0.",
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    "email": "akifumi.okayama@akane.waseda.jp",
    "login": "okayaa",
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    "uuid": 26814854
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      "role": "Imports"
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      "role": "Suggests"
    },
    {
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      "role": "Suggests"
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  "_owner": "okayaa",
  "_selfowned": true,
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  "_updates": [],
  "_tags": [],
  "_stars": 6,
  "_contributors": [
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      "user": "okayaa",
      "count": 19,
      "uuid": 26814854
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    "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/MTSYS"
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  "_searchresults": 29,
  "_rbuild": "4.6.0",
  "_assets": [
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    "extra/citation.html",
    "extra/citation.json",
    "extra/citation.txt",
    "extra/contents.json",
    "extra/MTSYS.html",
    "extra/NEWS.html",
    "extra/NEWS.txt",
    "extra/readme.html",
    "extra/readme.md",
    "manual.pdf"
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  "_realowner": "okayaa",
  "_cranurl": true,
  "_releases": [
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      "version": "1.0.0",
      "date": "2017-08-02"
    },
    {
      "version": "1.2.0",
      "date": "2017-09-10"
    }
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  "_exports": [
    "calc_cofactor",
    "calc_M_hat",
    "calc_overall_predicton_eta",
    "diagnosis",
    "forecasting",
    "general_diagnosis.MT",
    "general_forecasting.T",
    "general_MT",
    "general_T",
    "generates_dimensionality_reduction_function",
    "generates_model",
    "generates_normalization_function",
    "generates_transformation_functions_T1",
    "generates_transformation_functions_Tb",
    "generates_unit_space",
    "MT",
    "MTA",
    "RT",
    "T1",
    "Ta",
    "Tb"
  ],
  "_help": [
    {
      "page": "calc_cofactor",
      "title": "Function to calculate a cofactor matrix",
      "topics": [
        "calc_cofactor"
      ]
    },
    {
      "page": "calc_M_hat",
      "title": "Function to estimate M value (M hat) for a family of T methods.",
      "topics": [
        "calc_M_hat"
      ]
    },
    {
      "page": "calc_overall_predicton_eta",
      "title": "Function to calculate overall prediction eta for the T method",
      "topics": [
        "calc_overall_predicton_eta"
      ]
    },
    {
      "page": "diagnosis",
      "title": "Function to predict a diagnosis for a family of Mahalanobis-Taguchi (MT) methods",
      "topics": [
        "diagnosis"
      ]
    },
    {
      "page": "diagnosis.MT",
      "title": "Diagnosis method for the Mahalanobis-Taguchi (MT) method",
      "topics": [
        "diagnosis.MT"
      ]
    },
    {
      "page": "diagnosis.MTA",
      "title": "Diagnosis method for the Mahalanobis-Taguchi Adjoint (MTA) method",
      "topics": [
        "diagnosis.MTA"
      ]
    },
    {
      "page": "diagnosis.RT",
      "title": "Diagnosis method for the Recognition-Taguchi (RT) method",
      "topics": [
        "diagnosis.RT"
      ]
    },
    {
      "page": "forecasting",
      "title": "Function to predict a forecasting for a family of Taguchi (T) methods",
      "topics": [
        "forecasting"
      ]
    },
    {
      "page": "forecasting.T1",
      "title": "Forecasting method for the T1 method",
      "topics": [
        "forecasting.T1"
      ]
    },
    {
      "page": "forecasting.Ta",
      "title": "Forecasting method for the Ta method",
      "topics": [
        "forecasting.Ta"
      ]
    },
    {
      "page": "forecasting.Tb",
      "title": "Forecasting method for the Tb method",
      "topics": [
        "forecasting.Tb"
      ]
    },
    {
      "page": "general_diagnosis.MT",
      "title": "General function to implement a diagnosis method for a family of Mahalanobis-Taguchi (MT) methods",
      "topics": [
        "general_diagnosis.MT"
      ]
    },
    {
      "page": "general_forecasting.T",
      "title": "General function to implement a forecasting method for a family of Taguchi (T) methods",
      "topics": [
        "general_forecasting.T"
      ]
    },
    {
      "page": "general_MT",
      "title": "General function to generate a unit space for a family of Mahalanobis-Taguchi (MT) methods",
      "topics": [
        "general_MT"
      ]
    },
    {
      "page": "general_T",
      "title": "General function to generate a prediction expression for a family of Taguchi (T) methods",
      "topics": [
        "general_T"
      ]
    },
    {
      "page": "generates_dimensionality_reduction_function",
      "title": "Function to generate a data transformation function for the Recognition-Taguchi (RT) method",
      "topics": [
        "generates_dimensionality_reduction_function"
      ]
    },
    {
      "page": "generates_model",
      "title": "Wrapper function to generate a model for a family of Taguchi (T) methods",
      "topics": [
        "generates_model"
      ]
    },
    {
      "page": "generates_normalization_function",
      "title": "Function to generate the data normalization function",
      "topics": [
        "generates_normalization_function"
      ]
    },
    {
      "page": "generates_transformation_functions_T1",
      "title": "Function to generate data transformation functions for the T1 methods",
      "topics": [
        "generates_transformation_functions_T1"
      ]
    },
    {
      "page": "generates_transformation_functions_Tb",
      "title": "Function to generate data transformation functions for the Tb methods",
      "topics": [
        "generates_transformation_functions_Tb"
      ]
    },
    {
      "page": "generates_unit_space",
      "title": "Wrapper function to generate a unit space for a family of Mahalanobis-Taguchi (MT) methods",
      "topics": [
        "generates_unit_space"
      ]
    },
    {
      "page": "MT",
      "title": "Function to generate a unit space for the Mahalanobis-Taguchi (MT) method",
      "topics": [
        "MT"
      ]
    },
    {
      "page": "MTA",
      "title": "Function to generate a unit space for the Mahalanobis-Taguchi Adjoint (MTA) method",
      "topics": [
        "MTA"
      ]
    },
    {
      "page": "RT",
      "title": "Function to generate a unit space for the Recognition-Taguchi (RT) method",
      "topics": [
        "RT"
      ]
    },
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      "title": "Function to generate a prediction expression for the two-sided Taguchi (T1) method",
      "topics": [
        "T1"
      ]
    },
    {
      "page": "Ta",
      "title": "Function to generate a prediction expression for the Ta method",
      "topics": [
        "Ta"
      ]
    },
    {
      "page": "Tb",
      "title": "Function to generate a prediction expression for the Tb method",
      "topics": [
        "Tb"
      ]
    }
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