{
  "_id": "6a214b60cd65a98ecbd2c65d",
  "Package": "skewMLRM",
  "Type": "Package",
  "Title": "Estimation for Scale-Shape Mixtures of Skew-Normal Distributions",
  "Version": "1.7",
  "Date": "2025-04-03",
  "Authors@R": "c(person(\"Clecio\", \"Ferreira\", role = c(\"aut\"), email = \"clecio.ferreira@ufjf.edu.br\"),\nperson(\"Diego\", \"Gallardo\", role = c(\"aut\",\"cre\"), email = \"dgallardo@ubiobio.cl\"),\nperson(\"Camila\", \"Zeller\", role = \"aut\", email = \"camila.zeller@ufjf.edu.br\"))",
  "Author": "Clecio Ferreira [aut], Diego Gallardo [aut, cre], Camila Zeller\n[aut]",
  "Maintainer": "Diego Gallardo <dgallardo@ubiobio.cl>",
  "Description": "Provide data generation and estimation tools for the\nmultivariate scale mixtures of normal presented in Lange and\nSinsheimer (1993) <doi:10.2307/1390698>, the multivariate scale\nmixtures of skew-normal presented in Zeller, Lachos and Vilca\n(2011) <doi:10.1080/02664760903406504>, the multivariate skew\nscale mixtures of normal presented in Louredo, Zeller and\nFerreira (2021) <doi:10.1007/s13571-021-00257-y> and the\nmultivariate scale mixtures of skew-normal-Cauchy presented in\nKahrari et al. (2020) <doi:10.1080/03610918.2020.1804582>.",
  "License": "GPL (>= 2)",
  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-06-04 09:51:54 UTC",
    "User": "root"
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  "Repository": "https://cran.r-universe.dev",
  "Date/Publication": "2025-04-05 11:30:02 UTC",
  "RemoteUrl": "https://github.com/cran/skewMLRM",
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    "message": "version 1.7\n",
    "time": 1743852602
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    "name": "Diego Gallardo",
    "email": "dgallardo@ubiobio.cl"
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    "extra/citation.json",
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      "date": "2021-06-11"
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      "date": "2021-09-03"
    },
    {
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    "choose.models",
    "choose.MSMN",
    "choose.MSMSN",
    "choose.MSMSNC",
    "choose.MSSMN",
    "choose2",
    "distMahal",
    "dtgamma",
    "estimate.MCN",
    "estimate.MN",
    "estimate.MSCEC",
    "estimate.MSCN",
    "estimate.MSCN2",
    "estimate.MSL",
    "estimate.MSN",
    "estimate.MSNC",
    "estimate.MSSL",
    "estimate.MSSL2",
    "estimate.MSSLEC",
    "estimate.MSTEC",
    "estimate.MSTN",
    "estimate.MSTT",
    "estimate.MT",
    "FI.MCN",
    "FI.MN",
    "FI.MSCEC",
    "FI.MSCN",
    "FI.MSCN2",
    "FI.MSL",
    "FI.MSN",
    "FI.MSNC",
    "FI.MSSL",
    "FI.MSSL2",
    "FI.MSSLEC",
    "FI.MSTEC",
    "FI.MSTN",
    "FI.MSTT",
    "FI.MT",
    "matrix.sqrt",
    "mbackcrit",
    "mbacksign",
    "qtgamma",
    "rMCN",
    "rMN",
    "rMSCEC",
    "rMSCN",
    "rMSCN2",
    "rMSL",
    "rMSN",
    "rMSNC",
    "rMSSL",
    "rMSSL2",
    "rMSSLEC",
    "rMSTEC",
    "rMSTN",
    "rMSTT",
    "rMT",
    "solve2",
    "vech",
    "xpnd"
  ],
  "_help": [
    {
      "page": "choose2",
      "title": "Select a distribution in the MSMN, MSSMN, MSMSN or/and MSMSNC classes and perform covariates selection.",
      "topics": [
        "choose2"
      ]
    },
    {
      "page": "chooseM",
      "title": "Choose a distribution in the MSMN, MSMSN, MSSMN and/or MSMSNC classes",
      "topics": [
        "choose.models",
        "choose.MSMN",
        "choose.MSMSN",
        "choose.MSMSNC",
        "choose.MSSMN"
      ]
    },
    {
      "page": "distMahal",
      "title": "Mahalanobis distance for fitted models in the MSMN, MSMSN, MSSMN and MSMSNC classes",
      "topics": [
        "distMahal"
      ]
    },
    {
      "page": "estimateM",
      "title": "Fitting a model in the MSMN, MSMSN, MSSMN and MSMSNC classes",
      "topics": [
        "estimate.MCN",
        "estimate.MN",
        "estimate.MSCEC",
        "estimate.MSCN",
        "estimate.MSCN2",
        "estimate.MSL",
        "estimate.MSN",
        "estimate.MSNC",
        "estimate.MSSL",
        "estimate.MSSL2",
        "estimate.MSSLEC",
        "estimate.MSTEC",
        "estimate.MSTN",
        "estimate.MSTT",
        "estimate.MT"
      ]
    },
    {
      "page": "FIM",
      "title": "Observed Fisher information matrix for distributions in the MSMN, MSMSN, MSSMN and MSMSNC classes.",
      "topics": [
        "FI.MCN",
        "FI.MN",
        "FI.MSCEC",
        "FI.MSCN",
        "FI.MSCN2",
        "FI.MSL",
        "FI.MSN",
        "FI.MSNC",
        "FI.MSSL",
        "FI.MSSL2",
        "FI.MSSLEC",
        "FI.MSTEC",
        "FI.MSTN",
        "FI.MSTT",
        "FI.MT"
      ]
    },
    {
      "page": "matrix.sqrt",
      "title": "Square root of a matrix",
      "topics": [
        "matrix.sqrt"
      ]
    },
    {
      "page": "mbackcrit",
      "title": "Multivariate backward based on the AIC or BIC criteria",
      "topics": [
        "mbackcrit"
      ]
    },
    {
      "page": "mbacksign",
      "title": "Multivariate Backward Based on Significance",
      "topics": [
        "mbacksign"
      ]
    },
    {
      "page": "plotskewMLRM",
      "title": "Plot an object of the \"skewMLRM\" class produced with the function distMahal.",
      "topics": [
        "plot.skewMLRM"
      ]
    },
    {
      "page": "rM",
      "title": "Random generation for models in the MSMN, MSMSN, MSSMN and MSMSNC classes",
      "topics": [
        "rMCN",
        "rMN",
        "rMSCEC",
        "rMSCN",
        "rMSCN2",
        "rMSL",
        "rMSN",
        "rMSNC",
        "rMSSL",
        "rMSSL2",
        "rMSSLEC",
        "rMSTEC",
        "rMSTN",
        "rMSTT",
        "rMT"
      ]
    },
    {
      "page": "solve2",
      "title": "Computes the inverse of a matrix",
      "topics": [
        "solve2"
      ]
    },
    {
      "page": "summaryskewMLRM",
      "title": "Print a summary for a object estimate.xxx",
      "topics": [
        "summary.skewMLRM"
      ]
    },
    {
      "page": "tgamma",
      "title": "Truncated gamma distribution",
      "topics": [
        "dtgamma",
        "qtgamma"
      ]
    },
    {
      "page": "vcov.skewMLRM",
      "title": "Calculate Variance-Covariance Matrix for a Fitted Model Object",
      "topics": [
        "vcov.skewMLRM"
      ]
    },
    {
      "page": "vech",
      "title": "Vectorize a symmetric matrix",
      "topics": [
        "vech"
      ]
    },
    {
      "page": "xpnd",
      "title": "Reconstitute a symmetric matrix from a vector.",
      "topics": [
        "xpnd"
      ]
    }
  ],
  "_rundeps": [
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    "codetools",
    "doParallel",
    "foreach",
    "iterators",
    "MASS",
    "matrixcalc",
    "moments",
    "mvtnorm"
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  "_score": 1.4771212547196624,
  "_indexed": true,
  "_nocasepkg": "skewmlrm",
  "_universes": [
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