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  "Package": "INLAtools",
  "Title": "Functionalities for the 'INLA' Package",
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  "Authors@R": "c(\nperson(\"Elias\", \"Teixeira Krainski\", , \"elias.krainski@kaust.edu.sa\", role = c(\"cre\", \"aut\", \"cph\"),\ncomment = c(ORCID = \"0000-0002-7063-2615\")),\nperson(\"Finn\", \"Lindgren\", , \"finn.lindgren@gmail.com\", role = \"aut\",\ncomment = c(ORCID = \"0000-0002-5833-2011\")),\nperson(\"Haavard\", \"Rue’\", role = \"aut\",\ncomment = c(ORCID = \"0000-0002-0222-1881\"))\n)",
  "Maintainer": "Elias Teixeira Krainski <elias.krainski@kaust.edu.sa>",
  "Description": "Contain code to work with a C struct, in short cgeneric,\nto define a Gaussian Markov random (GMRF) model. The cgeneric\ncontain required data to specify GMRF elements such as the\ngraph and the precision matrix, as well hyper-parameters\ndefinition, such as initial values and the prior, which are\nuseful for model inference. It can be accessed from a C program\nand is the recommended way to implement new GMRF models in the\n'INLA' package (<https://www.r-inla.org>). We also provide\naccess from R, useful for code debug and evaluate the prior for\nmultiple parameter sets. The implemented functionalities\nleverage the use of 'cgeneric' models. In order to illustrate\nit, a model named `generic0` is included. It can be used to\nimplement intrinsic models and scale it by default, as proposed\nin Sørbye & Rue (2014) <doi:10.1016/j.spasta.2013.06.004>, as\nwell defining the required constraints. A very useful\nfunctionality is the Kronecker product method that creates a\nnew model from multiple cgeneric models. It also works with the\nrgeneric, the R version of the cgeneric intended to easy try\nimplementation of new GMRF models before making it for\nproduction. The constraints of a Kronecker between two cgeneric\nmodels, such as spatio-temporal intrinsic interaction models,\nsee Knorr-Held (2000)\n<doi:10.1002/1097-0258%2820000915/30%2919%3A17/18%3C2555%3A%3AAID-SIM587%3E3.0.CO%3B2-%23>,\nare automatically set, as shown in the example at\n<https://github.com/eliaskrainski/INLAtools>.",
  "License": "GPL (>=2)",
  "URL": "https://github.com/eliaskrainski/INLAtools",
  "BugReports": "https://github.com/eliaskrainski/INLAtools/issues",
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  "Repository": "https://eliaskrainski.r-universe.dev",
  "Date/Publication": "2026-10-05 06:42:15 UTC",
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  "Author": "Elias Teixeira Krainski [cre, aut, cph] (ORCID:\n<https://orcid.org/0000-0002-7063-2615>),\nFinn Lindgren [aut] (ORCID: <https://orcid.org/0000-0002-5833-2011>),\nHaavard Rue’ [aut] (ORCID: <https://orcid.org/0000-0002-0222-1881>)",
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    "cgeneric_iid",
    "cgeneric_initial",
    "cgeneric_mu",
    "cgeneric_prior",
    "cgeneric_Q",
    "cgeneric_shlib_path",
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    "data.expand",
    "findGetFunction",
    "inlaQ",
    "is.zero",
    "multi_generic_model",
    "packageCheck",
    "pclrange",
    "pcParamCheck",
    "pcrange",
    "rgeneric",
    "rgeneric_graph",
    "rgeneric_initial",
    "rgeneric_mu",
    "rgeneric_prior",
    "rgeneric_Q",
    "Sparse",
    "stats.inla",
    "upperPadding"
  ],
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      "page": "cgeneric_generic0",
      "title": "Build a 'cgeneric' object for a 'generic0' model.",
      "topics": [
        "cgeneric_generic0",
        "cgeneric_iid"
      ]
    },
    {
      "page": "cgeneric_get",
      "title": "'cgeneric_get' is an internal function used to query 'graph', 'Q', 'initial', 'mu' or 'log_prior' from a 'cgeneric' model.",
      "topics": [
        "cgeneric_get",
        "cgeneric_graph",
        "cgeneric_initial",
        "cgeneric_mu",
        "cgeneric_prior",
        "cgeneric_Q"
      ]
    },
    {
      "page": "cgeneric-class",
      "title": "Organize data for the latent GMRF C interface for 'INLA'.",
      "topics": [
        "cgeneric",
        "cgeneric-class",
        "cgeneric.cgeneric",
        "cgeneric.character",
        "cgeneric.function",
        "cgeneric.inla.cgeneric",
        "cgenericBuilder",
        "cgeneric_shlib_path",
        "mapper1",
        "plot.cgeneric",
        "print.cgeneric",
        "summary.cgeneric"
      ]
    },
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      "title": "function to make Y: for multiple likelihood with INLA",
      "topics": [
        "data.expand"
      ]
    },
    {
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      "title": "Kronecker (product) between 'extraconstr', implemented for 'kronecker()' methods.",
      "topics": [
        "extraconstr",
        "kronecker_extraconstr"
      ]
    },
    {
      "page": "findGetFunction",
      "title": "Search a function and retrieve it.",
      "topics": [
        "findGetFunction"
      ]
    },
    {
      "page": "inlaQ",
      "title": "Define the method to extract the precision from an inla output object.",
      "topics": [
        "inlaQ"
      ]
    },
    {
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      "title": "Define the is.zero method",
      "topics": [
        "is.zero",
        "is.zero.default",
        "is.zero.Matrix",
        "is.zero.matrix"
      ]
    },
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      "title": "Kronecker between 'cgeneric'|'rgeneric' to implement interaction between GMRF models.",
      "topics": [
        "kronecker",
        "kronecker,cgeneric,cgeneric-method",
        "kronecker,cgeneric,rgeneric-method",
        "kronecker,rgeneric,cgeneric-method",
        "kronecker,rgeneric,rgeneric-method"
      ]
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      "title": "Combine two or more 'cgeneric' or 'rgeneric' models",
      "topics": [
        "multi_generic_model",
        "multi_generic_model_mapper"
      ]
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      "title": "To check package version and load",
      "topics": [
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      ]
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      "title": "Internal functions to check PC-prior parameters.",
      "topics": [
        "pc-utils",
        "pclrange",
        "pcParamCheck",
        "pcrange"
      ]
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      "title": "'rgeneric_get' is an internal function used to query 'graph', 'Q', 'initial', 'mu' or 'prior' from a 'rgeneric'.",
      "topics": [
        "rgeneric_get",
        "rgeneric_graph",
        "rgeneric_initial",
        "rgeneric_mu",
        "rgeneric_prior",
        "rgeneric_Q"
      ]
    },
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      "title": "Organize data for the latent GMRF R interface for 'INLA'.",
      "topics": [
        "plot.rgeneric",
        "print.rgeneric",
        "rgeneric",
        "rgeneric-class",
        "rgeneric.default",
        "rgeneric.inla.rgeneric",
        "rgeneric.rgeneric",
        "summary.rgeneric"
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        "Sparse"
      ]
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    {
      "page": "stats.inla",
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      "topics": [
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