{ "_id": "6a1f31c1b401979e73427d34", "Package": "spAbundance", "Type": "Package", "Title": "Univariate and Multivariate Spatial Modeling of Species\nAbundance", "Version": "0.2.2", "Authors@R": "c(person(\"Jeffrey\", \"Doser\", role=c(\"aut\", \"cre\"), email=\"jwdoser@ncsu.edu\"), person(\"Andrew\", \"Finley\", role = c(\"aut\")))", "Description": "Fits single-species (univariate) and multi-species\n(multivariate) non-spatial and spatial abundance models in a\nBayesian framework using Markov Chain Monte Carlo (MCMC).\nSpatial models are fit using Nearest Neighbor Gaussian\nProcesses (NNGPs). Details on NNGP models are given in Datta,\nBanerjee, Finley, and Gelfand (2016)\n and Finley, Datta, and\nBanerjee (2022) . Fits\nsingle-species and multi-species spatial and non-spatial\nversions of generalized linear mixed models (Gaussian, Poisson,\nNegative Binomial), N-mixture models (Royle 2004\n) and hierarchical\ndistance sampling models (Royle, Dawson, Bates (2004)\n). Multi-species spatial models are fit\nusing a spatial factor modeling approach with NNGPs for\ncomputational efficiency.", "License": "GPL (>= 3)", "Encoding": "UTF-8", "LazyData": "true", "URL": "https://www.doserlab.com/files/spabundance-web\nhttps://groups.google.com/g/spocc-spabund-users", "BugReports": "https://github.com/biodiverse/spAbundance/issues", "Config/pak/sysreqs": "cmake make", "Repository": "https://ecoverser.r-universe.dev", "Date/Publication": "2026-01-15 17:55:44 UTC", "RemoteUrl": "https://github.com/ecoverser/spabundance", "RemoteRef": "HEAD", "RemoteSha": "52f43b988119eeec4ce9d93322dd0d2cf4565b21", "NeedsCompilation": "yes", "Packaged": { "Date": "2026-05-15 08:14:38 UTC", "User": "root" }, "Author": "Jeffrey Doser [aut, cre],\nAndrew Finley [aut]", "Maintainer": "Jeffrey Doser ", "MD5sum": "fc53ddeb002a69f018873d94052d9576", "_user": "ecoverser", "_type": "src", "_file": "spAbundance_0.2.2.tar.gz", "_fileid": 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