{ "_id": "6ac63b4ef511ae58c09a84c7", "Package": "spOccupancy", "Type": "Package", "Title": "Single-Species, Multi-Species, and Integrated Spatial Occupancy\nModels", "Version": "0.8.2", "Authors@R": "c(person(\"Jeffrey\", \"Doser\", role=c(\"aut\", \"cre\"), email=\"jwdoser@ncsu.edu\"), person(\"Andrew\", \"Finley\", role = c(\"aut\")), person(\"Marc\", \"Kery\", role = c('ctb')))", "Author": "Jeffrey Doser [aut, cre], Andrew Finley [aut], Marc Kery [ctb]", "Maintainer": "Jeffrey Doser ", "Description": "Fits single-species, multi-species, and integrated\nnon-spatial and spatial occupancy models using Markov Chain\nMonte Carlo (MCMC). Models are fit using Polya-Gamma data\naugmentation detailed in Polson, Scott, and Windle (2013)\n. Spatial models are fit\nusing either Gaussian processes or Nearest Neighbor Gaussian\nProcesses (NNGP) for large spatial datasets. Details on NNGP\nmodels are given in Datta, Banerjee, Finley, and Gelfand (2016)\n and Finley, Datta, and\nBanerjee (2022) . Provides\nfunctionality for data integration of multiple single-species\noccupancy data sets using a joint likelihood framework. Details\non data integration are given in Miller, Pacifici, Sanderlin,\nand Reich (2019) . Details on\nsingle-species and multi-species models are found in MacKenzie,\nNichols, Lachman, Droege, Royle, and Langtimm (2002)\n and\nDorazio and Royle ,\nrespectively.", "License": "GPL (>= 3)", "Encoding": "UTF-8", "LazyData": "true", "RoxygenNote": "7.1.1", "URL": "https://www.doserlab.com/files/spoccupancy-web,\nhttps://groups.google.com/g/spocc-spabund-users,\nhttps://github.com/ecoverseR/spOccupancy", "BugReports": "https://github.com/ecoverseR/spOccupancy/issues", "NeedsCompilation": "yes", "Repository": "https://ecoverser.r-universe.dev", "Date/Publication": "2026-10-07 09:21:30 UTC", "RemoteUrl": "https://github.com/ecoverser/spoccupancy", "RemoteRef": "HEAD", "RemoteSha": "8ddc8bb6439a6360bc8083455e8c4616b75ba663", "Packaged": { "Date": "2026-10-07 09:53:43 UTC", "User": "root" }, "_user": "ecoverser", "_type": "src", "_file": "spOccupancy_0.8.2.tar.gz", "_fileid": "https://r2.ropensci.org/aff7a55715549b6d18628ecd4a67677a3ca23dbf9f0de82b3c268cbd7cb30a0a", "_filesize": 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{ "page": "summary.PGOcc", "title": "Methods for PGOcc Object", "topics": [ "plot.PGOcc", "print.PGOcc", "summary.PGOcc" ] }, { "page": "summary.postHocLM", "title": "Methods for postHocLM Object", "topics": [ "print.postHocLM", "summary.postHocLM" ] }, { "page": "summary.ppcOcc", "title": "Methods for ppcOcc Object", "topics": [ "summary.ppcOcc" ] }, { "page": "summary.sfJSDM", "title": "Methods for sfJSDM Object", "topics": [ "plot.sfJSDM", "print.sfJSDM", "summary.sfJSDM" ] }, { "page": "summary.sfMsPGOcc", "title": "Methods for sfMsPGOcc Object", "topics": [ "plot.sfMsPGOcc", "print.sfMsPGOcc", "summary.sfMsPGOcc" ] }, { "page": "summary.spIntPGOcc", "title": "Methods for spIntPGOcc Object", "topics": [ "plot.spIntPGOcc", "print.spIntPGOcc", "summary.spIntPGOcc" ] }, { "page": "summary.spMsPGOcc", "title": "Methods for spMsPGOcc Object", "topics": [ "plot.spMsPGOcc", "print.spMsPGOcc", "summary.spMsPGOcc" ] }, { "page": "summary.spPGOcc", "title": "Methods for spPGOcc Object", 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