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  "Title": "Spatial Statistical Modeling and Prediction",
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  "Description": "Fit, summarize, and predict for a variety of spatial\nstatistical models applied to point-referenced and areal\n(lattice) data. Parameters are estimated using various methods.\nAdditional modeling features include anisotropy, non-spatial\nrandom effects, partition factors, big data approaches, and\nmore. Model-fit statistics are used to summarize, visualize,\nand compare models. Predictions at unobserved locations are\nreadily obtainable. For additional details, see Dumelle et al.\n(2023) <doi:10.1371/journal.pone.0282524>.",
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  "Repository": "https://usepa.r-universe.dev",
  "Date/Publication": "2026-09-10 17:21:29 UTC",
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  "Author": "Michael Dumelle [aut, cre] (ORCID:\n<https://orcid.org/0000-0002-3393-5529>),\nMatthew Heaton [ctb] (ORCID: <https://orcid.org/0000-0003-4654-9827>),\nMatt Higham [aut] (ORCID: <https://orcid.org/0009-0006-4217-625X>),\nRyan A. Hill [ctb] (ORCID: <https://orcid.org/0000-0001-9583-0426>),\nMichael Mahon [ctb] (ORCID: <https://orcid.org/0000-0002-9436-2998>),\nJay M. Ver Hoef [aut] (ORCID: <https://orcid.org/0000-0003-4302-6895>)",
  "Maintainer": "Michael Dumelle <Dumelle.Michael@epa.gov>",
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      "title": "Compute analysis of variance and likelihood ratio tests of fitted model objects",
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        "AUROC.spglm"
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      "title": "A caribou forage experiment",
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      "title": "Confidence intervals for fitted model parameters",
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        "confint.splm",
        "confint.spmodel"
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        "cooks.distance.spgautor",
        "cooks.distance.spglm",
        "cooks.distance.splm",
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        "covmatrix.spgautor",
        "covmatrix.spglm",
        "covmatrix.splm"
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      "title": "Create a dispersion parameter initial object",
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      "title": "Create a dispersion parameter object",
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      "title": "Compute the empirical semivariogram",
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      "title": "Four Corners State Borders",
      "topics": [
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      "title": "Extract model fitted values",
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        "fitted.spglm",
        "fitted.splm",
        "fitted.spmodel",
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        "fitted.values.spglm",
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        "kcv.splm"
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      "page": "labels.spmodel",
      "title": "Find labels from object",
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        "labels.spgautor",
        "labels.spglm",
        "labels.splm",
        "labels.spmodel"
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      "page": "lake",
      "title": "National Lakes Assessment Data",
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    {
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      "title": "Lakes Prediction Data",
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      "page": "logLik.spmodel",
      "title": "Extract log-likelihood",
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      "page": "loocv",
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        "model.matrix.splm",
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      "page": "moose",
      "title": "Moose counts and presence in Alaska, USA",
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      "title": "Locations at which to predict moose counts and presence in Alaska, USA",
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      "page": "moss",
      "title": "Heavy metals in mosses near a mining road in Alaska, USA",
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      "title": "Plot fitted model diagnostics",
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      "title": "Estimated harbor-seal trends from abundance data in southeast Alaska, USA",
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      "page": "spautor",
      "title": "Fit spatial autoregressive models",
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      "title": "Fit random forest spatial residual models",
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      "title": "Summarize a fitted model object",
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