{ "_id": "6a1ee931b401979e73411c83", "Package": "GGoutlieR", "Type": "Package", "Title": "Identify Individuals with Unusual Geo-Genetic Patterns", "Version": "1.0.2", "Authors@R": "c(person(given = \"Che-Wei\",\nfamily = \"Chang\",\nrole = c(\"aut\", \"cre\"),\nemail = \"cheweichang92@gmail.com\",\ncomment = c(ORCID = \"0000-0001-6704-3732\")),\nperson(given = \"Karl\",\nfamily = \"Schmid\",\nrole = c(\"ths\"),\nemail = \"karl.schmid@uni-hohenheim.de\",\ncomment = c(ORCID = \"0000-0001-5129-895X\"),\n))", "Description": "Identify and visualize individuals with unusual\nassociation patterns of genetics and geography using the\napproach of Chang and Schmid (2023)\n. It detects potential outliers\nthat violate the isolation-by-distance assumption using the\nK-nearest neighbor approach. You can obtain a table of outliers\nwith statistics and visualize unusual geo-genetic patterns on a\ngeographical map. This is useful for landscape genomics studies\nto discover individuals with unusual geography and genetics\nassociations from a large biological sample.", "License": "MIT + file LICENSE", "Encoding": "UTF-8", "LazyData": "true", "RoxygenNote": "7.2.3", "NeedsCompilation": "no", "Packaged": { "Date": "2026-05-19 10:26:23 UTC", "User": "root" }, "Author": "Che-Wei Chang [aut, cre]\n(), Karl Schmid [ths]\n()", "Maintainer": "Che-Wei Chang ", "Config/pak/sysreqs": "libabsl-dev cmake libfontconfig1-dev\nlibfreetype6-dev libgdal-dev gdal-bin libgeos-dev libicu-dev\nlibssl-dev libproj-dev libsqlite3-dev libudunits2-dev", "Repository": "https://cheweichang1992.r-universe.dev", "Date/Publication": "2023-10-15 22:30:37 UTC", "RemoteUrl": "https://github.com/cran/GGoutlieR", "RemoteRef": "HEAD", "RemoteSha": "83ef6c0a1269c0af94fd13c8b0d3649c209ed9bd", "MD5sum": "8e4fd384d2e8a158fda296d338fe7626", "_user": "cheweichang1992", "_type": "src", "_file": "GGoutlieR_1.0.2.tar.gz", "_fileid": 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