{ "_id": "6a17f435acfb0bcc41da8269", "Package": "AlleleShift", "Type": "Package", "Title": "Predict and Visualize Population-Level Changes in Allele\nFrequencies in Response to Climate Change", "Version": "1.1-3", "Date": "2025-10-16", "Author": "Roeland Kindt [cre, aut] (ORCID:\n)", "Authors@R": "c(person(given = \"Roeland\",\nfamily = \"Kindt\",\nrole = c(\"cre\", \"aut\"),\nemail = \"RoelandCEKindt@gmail.com\",\ncomment = c(ORCID = \"0000-0002-7672-0712\")))", "Maintainer": "Roeland Kindt ", "Description": "Methods () are provided of\ncalibrating and predicting shifts in allele frequencies through\nredundancy analysis ('vegan::rda()') and generalized additive\nmodels ('mgcv::gam()'). Visualization functions for predicted\nchanges in allele frequencies include 'shift.dot.ggplot()',\n'shift.pie.ggplot()', 'shift.moon.ggplot()',\n'shift.waffle.ggplot()' and 'shift.surf.ggplot()' that are made\nwith input data sets that are prepared by helper functions for\neach visualization method. Examples in the documentation show\nhow to prepare animated climate change graphics through a time\nseries with the 'gganimate' package. Function 'amova.rda()'\nshows how Analysis of Molecular Variance can be directly\nconducted with the results from redundancy analysis.", "License": "GPL-3", "Packaged": { "Date": "2026-05-28 07:46:19 UTC", "User": "root" }, "NeedsCompilation": "no", "Config/pak/sysreqs": "cmake libglpk-dev make libicu-dev libuv1-dev\nlibxml2-dev tcl tk tk-dev tk-table libx11-dev zlib1g-dev", "Repository": "https://roelandkindt.r-universe.dev", "Date/Publication": "2025-10-16 07:20:02 UTC", "RemoteUrl": "https://github.com/cran/AlleleShift", "RemoteRef": "HEAD", "RemoteSha": "2c166ce26b5abf497ff544509fccdfc7a6773787", "MD5sum": "469dae718632d500991abd4819e12f57", "_user": "roelandkindt", "_type": "src", "_file": "AlleleShift_1.1-3.tar.gz", "_fileid": "9729fcb478feb4015fc4b85e761dfcf7b40c58a77b425f78fb98131e34d75e13", "_filesize": 982350, "_sha256": "9729fcb478feb4015fc4b85e761dfcf7b40c58a77b425f78fb98131e34d75e13", "_created": "2026-05-28T07:46:19.000Z", "_published": "2026-05-28T07:52:20.993Z", 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