{ "_id": "6a291075732311cd8759626e", "Package": "spmodel", "Title": "Spatial Statistical Modeling and Prediction", "Version": "0.13.0", "Authors@R": "c(\nperson(given = \"Michael\",\nfamily = \"Dumelle\",\nrole = c(\"aut\", \"cre\"),\nemail = \"Dumelle.Michael@epa.gov\",\ncomment = c(ORCID = \"0000-0002-3393-5529\")),\nperson(given = \"Matt\",\nfamily = \"Higham\",\nrole = \"aut\",\nemail = \"mhigham@stlawu.edu\",\ncomment = c(ORCID = \"0009-0006-4217-625X\")),\nperson(given = \"Ryan A.\",\nfamily = \"Hill\",\nrole = \"ctb\",\nemail = \"hill.ryan@epa.gov\",\ncomment = c(ORCID = \"0000-0001-9583-0426\")),\nperson(given = \"Michael\",\nfamily = \"Mahon\",\nrole = \"ctb\",\nemail = \"Mahon.Michael@epa.gov\",\ncomment = c(ORCID = \"0000-0002-9436-2998\")),\nperson(given = \"Jay M.\",\nfamily = \"Ver Hoef\",\nrole = \"aut\",\nemail = \"jay.verhoef@noaa.gov\",\ncomment = c(ORCID = \"0000-0003-4302-6895\"))\n)", "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) .", "License": "GPL-3", "Encoding": "UTF-8", "LazyData": "true", "RoxygenNote": "7.3.2", "VignetteBuilder": "knitr", "Config/testthat/edition": "3", "URL": "https://usepa.github.io/spmodel/", "BugReports": "https://github.com/USEPA/spmodel/issues", "NeedsCompilation": "no", "Packaged": { "Date": "2026-06-10 07:14:59 UTC", "User": "root" }, "Author": "Michael Dumelle [aut, cre] (ORCID:\n), Matt Higham [aut]\n(ORCID: ), Ryan A. Hill\n[ctb] (ORCID: ), Michael\nMahon [ctb] (ORCID: ),\nJay M. 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