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  "Package": "dmm",
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  "Title": "Dyadic Mixed Model for Pedigree Data",
  "Version": "3.2-2",
  "Date": "2025-08-20",
  "Authors@R": "c(person(\"Neville\", \"Jackson\", role = c(\"aut\", \"cre\"),\nemail = \"nanddjackson@bigpond.com\",\ncomment = c(ORCID = \"0000-0002-1820-9609\")))",
  "Author": "Neville Jackson [aut, cre] (ORCID:\n<https://orcid.org/0000-0002-1820-9609>)",
  "Maintainer": "Neville Jackson <nanddjackson@bigpond.com>",
  "Description": "Mixed model analysis for quantitative genetics with\nmulti-trait responses and pedigree-based partitioning of\nindividual variation into a range of environmental and genetic\nvariance components for individual and maternal effects. Method\ndocumented in dmmOverview.pdf; dmm is an implementation of\ndispersion mean model described by Searle et al. (1992)\n\"Variance Components\", Wiley, NY. Dmm() can do 'MINQUE',\n'bias-corrected-ML', and 'REML' variance and covariance\ncomponent estimates.",
  "License": "GPL-2 | GPL (>= 2) | GPL-3",
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    "User": "root"
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  "Repository": "https://nevillejackson.r-universe.dev",
  "Date/Publication": "2025-08-20 04:30:02 UTC",
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  "_created": "2026-10-14T08:05:35.000Z",
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      "date": "2016-04-12"
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    "condense.dmmarray",
    "condense.dmmblockarray",
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    "dmm",
    "gprint",
    "gresponse",
    "gsummary",
    "make.countarray",
    "make.ctable",
    "make.dmmobj",
    "mdf",
    "pedcheck",
    "pedrenum",
    "unfactor",
    "warcolak.convert"
  ],
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      ],
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        "SId",
        "DId",
        "Sex",
        "CWW",
        "DIA"
      ],
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      "table": true,
      "tojson": true
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      ],
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        "Adg",
        "Sex"
      ],
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      "title": "Australian Merino sheep research dataset",
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      "class": [
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      ],
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        "Sex",
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        "Crimp",
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        "Length",
        "Flcwt",
        "Woolwt"
      ],
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      "table": true,
      "tojson": true
    },
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      "title": "Quercus example dataset",
      "object": "quercus.df",
      "file": "quercus.df.rda",
      "class": [
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      ],
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        "SId",
        "DId",
        "Sex",
        "Trait1",
        "Trait2"
      ],
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      "table": true,
      "tojson": true
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      "title": "Demonstration sheep dataset",
      "object": "sheep.df",
      "file": "sheep.df.rda",
      "class": [
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      ],
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        "SId",
        "DId",
        "Year",
        "Tb",
        "Sex",
        "Cww",
        "Diam",
        "Bwt"
      ],
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      "table": true,
      "tojson": true
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      "object": "tstmo1.df",
      "file": "tstmo1.df.rda",
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        "SId",
        "DId",
        "Sex",
        "Gen",
        "Weight"
      ],
      "rows": 282,
      "table": true,
      "tojson": true
    }
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  "_help": [
    {
      "page": "dmm-package",
      "title": "Dyadic mixed model analysis for pedigree data",
      "topics": [
        "dmm-package"
      ]
    },
    {
      "page": "chartodec",
      "title": "Convert a vector from character to decimal numbers",
      "topics": [
        "chartodec"
      ]
    },
    {
      "page": "condense.dmmarray",
      "title": "Condense an object of type 'dmmarray' to an object of type 'dmm'",
      "topics": [
        "condense.dmmarray"
      ]
    },
    {
      "page": "condense.dmmblockarray",
      "title": "Condense an object of type 'dmmblockarray' to an object of type 'dmm'",
      "topics": [
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      ]
    },
    {
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      "title": "Make summary tables of (co)variance component estimates sorted into class-specific classes for a dmm object.",
      "topics": [
        "csummary",
        "csummary.dmm"
      ]
    },
    {
      "page": "dmm",
      "title": "Fit a dyadic mixed model to pedigree data",
      "topics": [
        "dmm",
        "dmm.default"
      ]
    },
    {
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      "title": "A balanced dataset with eight individuals.",
      "topics": [
        "dt8bal.df"
      ]
    },
    {
      "page": "gprint",
      "title": "Generic function for printing genetic parameters contained in an object of class 'dmm'.",
      "topics": [
        "gprint"
      ]
    },
    {
      "page": "gprint.dmm",
      "title": "Print method for genetic parameters contained in an object of class 'dmm'.",
      "topics": [
        "gprint.dmm"
      ]
    },
    {
      "page": "gresponse.dmm",
      "title": "Compute response to selection, given phenotypic selection differentials.",
      "topics": [
        "gresponse",
        "gresponse.dmm"
      ]
    },
    {
      "page": "gsummary.dmm",
      "title": "Make summary tables of genetic parameters for a dmm object",
      "topics": [
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        "gsummary.dmm"
      ]
    },
    {
      "page": "harv101.df",
      "title": "Harvey dataset",
      "topics": [
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      ]
    },
    {
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      "title": "Count the number of observations in a dataframe or an 'mdf' object for all traitpairs in the supplied list of traits.",
      "topics": [
        "make.countarray"
      ]
    },
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      "topics": [
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      ]
    },
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      "topics": [
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      ]
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      "title": "Prepare a dataframe for use with dmm function",
      "topics": [
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      ]
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      "title": "Australian Merino sheep research dataset",
      "topics": [
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      ]
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      ]
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      "title": "Plot residuals from fitting dyadic model",
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      "topics": [
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      "title": "Convert a vector from factor to numeric",
      "topics": [
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