{ "_id": "6a10208bacfb0bcc41c8b9fa", "Package": "SpatialVS", "Title": "Spatial Variable Selection", "Version": "1.1", "Author": "Yili Hong, Li Xu, Yimeng Xie, and Zhongnan Jin", "Maintainer": "Yili Hong ", "Description": "Perform variable selection for the spatial Poisson\nregression model under the adaptive elastic net penalty.\nSpatial count data with covariates is the input. We use a\nspatial Poisson regression model to link the spatial counts and\ncovariates. For maximization of the likelihood under adaptive\nelastic net penalty, we implemented the penalized\nquasi-likelihood (PQL) and the approximate penalized\nloglikelihood (APL) methods. The proposed methods can\nautomatically select important covariates, while adjusting for\npossible spatial correlations among the responses. More details\nare available in Xie et al. (2018, ). The\npackage also contains the Lyme disease dataset, which consists\nof the disease case data from 2006 to 2011, and demographic\ndata and land cover data in Virginia. The Lyme disease case\ndata were collected by the Virginia Department of Health. The\ndemographic data (e.g., population density, median income, and\naverage age) are from the 2010 census. Land cover data were\nobtained from the Multi-Resolution Land Cover Consortium for\n2006.", "License": "GPL-2", "Encoding": "UTF-8", "LazyData": "true", "RoxygenNote": "6.0.1.9000", "NeedsCompilation": "no", "Packaged": { "Date": "2026-05-14 06:09:12 UTC", "User": "root" }, "Repository": "https://yili-hong.r-universe.dev", "Date/Publication": "2018-11-10 04:10:03 UTC", "RemoteUrl": "https://github.com/cran/SpatialVS", "RemoteRef": "HEAD", "RemoteSha": "172a279e7d32d6754347312c87fca4c4646b7a4f", "MD5sum": "71b7a005a91d5be161f7df10453c6682", "_user": "yili-hong", "_type": "src", "_file": "SpatialVS_1.1.tar.gz", "_fileid": "f9a458a06449f2232b4f5b8d603581fbb335482962aea4cb2474041e756f2d11", "_filesize": 378761, "_sha256": "f9a458a06449f2232b4f5b8d603581fbb335482962aea4cb2474041e756f2d11", "_created": "2026-05-14T06:09:12.000Z", "_published": "2026-05-22T09:23:23.003Z", "_distro": "noble", "_jobs": [ { "job": 77352021260, "time": 151, "config": "linux-devel-x86_64", "r": "4.7.0", "check": 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