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  "Title": "Geostatistical Modelling with Likelihood and Bayes",
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  "Description": "Geostatistical modelling facilities using 'SpatRaster' and\n'SpatVector' objects are provided. Non-Gaussian models are fit\nusing 'INLA', and Gaussian geostatistical models use Maximum\nLikelihood Estimation.  For details see Brown (2015)\n<doi:10.18637/jss.v063.i12>. The 'RandomFields' package is\navailable at\n<https://www.wim.uni-mannheim.de/schlather/publications/software>.",
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    "lgm",
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    "postExp",
    "profLlgm",
    "RFsimulate",
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    "simPoissonPP",
    "spatialRoc",
    "spdfToBrick",
    "squareRaster",
    "stackRasterList",
    "variog",
    "variogMcEnv"
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        "glgm,formula,SpatRaster,ANY,ANY-method",
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        "lgm,character,ANY,ANY,ANY-method",
        "lgm,formula,data.frame,SpatRaster,data.frame-method",
        "lgm,formula,SpatRaster,ANY,ANY-method",
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        "lgm,formula,SpatVector,SpatRaster,data.frame-method",
        "lgm,formula,SpatVector,SpatRaster,list-method",
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        "lgm,numeric,ANY,ANY,ANY-method",
        "lgm-methods"
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      "title": "Likelihood Based Parameter Estimation for Gaussian Random Fields",
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        "loglikLgm"
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      "page": "loaloa",
      "title": "Loaloa prevalence data from 197 village surveys",
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        "elevationLoa",
        "eviLoa",
        "loaloa",
        "ltLoa",
        "tempLoa"
      ]
    },
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      "page": "matern",
      "title": "Evaluate the Matern correlation function",
      "topics": [
        "fillParam",
        "matern",
        "matern.default",
        "matern.dist",
        "matern.SpatRaster",
        "matern.SpatVector"
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    {
      "page": "maternGmrfPrec",
      "title": "Precision matrix for a Matern spatial correlation",
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        "maternGmrfPrec",
        "maternGmrfPrec.default",
        "maternGmrfPrec.dgCMatrix",
        "NNmat",
        "NNmat.default",
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      "title": "Murder locations",
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        "torontoBorder",
        "torontoIncome",
        "torontoNight",
        "torontoPdens"
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    {
      "page": "pcPriorRange",
      "title": "PC prior for range parameter",
      "topics": [
        "pcPrior",
        "pcPriorRange"
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    },
    {
      "page": "postExp",
      "title": "Exponentiate posterior quantiles",
      "topics": [
        "postExp"
      ]
    },
    {
      "page": "profLlgm",
      "title": "Joint confidence regions",
      "topics": [
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        "profLlgm"
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        "RFsimulate",
        "RFsimulate,ANY,SpatRaster-method",
        "RFsimulate,data.frame,ANY-method",
        "RFsimulate,matrix,SpatRaster-method",
        "RFsimulate,matrix,SpatVector-method",
        "RFsimulate,numeric,SpatRaster-method",
        "RFsimulate,numeric,SpatVector-method",
        "RFsimulate,RMmodel,SpatRaster-method",
        "RFsimulate,RMmodel,SpatVector-method",
        "RFsimulate-methods"
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    {
      "page": "rongelapUTM",
      "title": "Rongelap data",
      "topics": [
        "rongelapUTM"
      ]
    },
    {
      "page": "simLgcp",
      "title": "Simulate a log-Gaussian Cox process",
      "topics": [
        "simLgcp",
        "simPoissonPP"
      ]
    },
    {
      "page": "spatialRoc",
      "title": "Sensitivity and specificity",
      "topics": [
        "spatialRoc"
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    {
      "page": "squareRaster",
      "title": "Create a raster with square cells",
      "topics": [
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        "squareRaster,matrix-method",
        "squareRaster,SpatExtent-method",
        "squareRaster,SpatRaster-method",
        "squareRaster,SpatVector-method",
        "squareRaster-methods"
      ]
    },
    {
      "page": "stackRasterList",
      "title": "Converts a list of rasters, possibly with different projections and resolutions, to a single raster stack.",
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        "stackRasterList"
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    {
      "page": "swissRain",
      "title": "Swiss rainfall data",
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        "swissAltitude",
        "swissBorder",
        "swissLandType",
        "swissRain"
      ]
    },
    {
      "page": "swissRainR",
      "title": "Raster of Swiss rain data",
      "topics": [
        "swissNN",
        "swissRainR"
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    },
    {
      "page": "variog",
      "title": "Compute Empirical Variograms and Permutation Envelopes",
      "topics": [
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