{ "_id": "6a1f397eb401979e73428ecc", "Package": "SpatialGEV", "Title": "Fit Spatial Generalized Extreme Value Models", "Version": "1.0.1", "Authors@R": "c(\nperson(given = \"Meixi\",\nfamily = \"Chen\",\nrole = c(\"aut\", \"cre\"),\nemail = \"meixi.chen@uwaterloo.ca\"),\nperson(given = \"Martin\",\nfamily = \"Lysy\",\nrole = \"aut\",\nemail = \"mlysy@uwaterloo.ca\"),\nperson(given = \"Reza\",\nfamily = \"Ramezan\",\nrole = \"ctb\",\nemail = \"rramezan@uwaterloo.ca\"))", "Maintainer": "Meixi Chen ", "Description": "Fit latent variable models with the GEV distribution as\nthe data likelihood and the GEV parameters following latent\nGaussian processes. The models in this package are built using\nthe template model builder 'TMB' in R, which has the fast\nability to integrate out the latent variables using Laplace\napproximation. This package allows the users to choose in the\nfit function which GEV parameter(s) is considered as a\nspatially varying random effect following a Gaussian process,\nso the users can fit spatial GEV models with different\ncomplexities to their dataset without having to write the\nmodels in 'TMB' by themselves. This package also offers methods\nto sample from both fixed and random effects posteriors as well\nas the posterior predictive distributions at different spatial\nlocations. Methods for fitting this class of models are\ndescribed in Chen, Ramezan, and Lysy (2024)\n.", "License": "GPL-3", "Encoding": "UTF-8", "LazyData": "true", "RoxygenNote": "7.2.3", "Additional_repositories": "https://inla.r-inla-download.org/R/stable/", "VignetteBuilder": "knitr", "NeedsCompilation": "yes", "Packaged": { "Date": "2026-05-09 05:51:32 UTC", "User": "root" }, "Author": "Meixi Chen [aut, cre], Martin Lysy [aut], Reza Ramezan [ctb]", "Repository": "https://cran.r-universe.dev", "Date/Publication": "2024-06-10 02:44:20 UTC", "RemoteUrl": "https://github.com/cran/SpatialGEV", "RemoteRef": "HEAD", "RemoteSha": "994ab3daba6c5dbdcaa654e1d0c011020b087b78", "MD5sum": "2960226460021e967de7b3865b782ae3", "_user": "cran", "_type": "src", "_file": "SpatialGEV_1.0.1.tar.gz", "_fileid": "4667c03daf42aff0bbfc4724369846fca7deba6610e3f5473a50b92549e6c20c", "_filesize": 1029337, "_sha256": "4667c03daf42aff0bbfc4724369846fca7deba6610e3f5473a50b92549e6c20c", "_created": 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