{ "_id": "6a2042decd65a98ecbd11a2c", "Package": "rarefun", "Type": "Package", "Title": "Functions for Rare Events Analysis", "Version": "0.1.0", "Authors@R": "c(\nperson(\"Vyacheslav\", \"Lyubchich\",\nemail = \"lyubchich@umces.edu\",\nrole = c(\"aut\", \"cre\"),\ncomment = c(ORCID = \"0000-0001-7936-4285\")),\nperson(\"Geneviève\", \"Nesslage\",\nrole = \"aut\",\ncomment = c(ORCID = \"0000-0003-1770-6803\"))\n)", "Description": "Functions for detecting and analyzing rare events in data.\nImplements isolation forest (Liu et al., 2008,\n) and clustering for anomaly\ndetection in time series residuals. Decomposes time series\nusing LOESS (Locally Estimated Scatterplot Smoothing) or STL\n(Seasonal-Trend decomposition using LOESS). Detects marine\nheatwaves and cold spells following Hobday et al. (2016)\n. Provides goodness-of-fit\ntests for quantile regression (Haupt et al., 2011,\n), partial dependence with\nquantile random forests, MCC (Matthews Correlation Coefficient)\ncomputation and testing, knee-point detection via the Kneedle\nalgorithm (Satopaa et al., 2011, ),\nand spatial point matching.", "License": "MIT + file LICENSE", "Encoding": "UTF-8", "URL": "https://github.com/vlyubchich/rarefun", "BugReports": "https://github.com/vlyubchich/rarefun/issues", "RdMacros": "Rdpack", "LazyData": "true", "Config/roxygen2/version": "8.0.0", "Repository": "https://vlyubchich.r-universe.dev", "Date/Publication": "2026-05-29 15:27:38 UTC", "RemoteUrl": "https://github.com/vlyubchich/rarefun", "RemoteRef": "HEAD", "RemoteSha": "62c88016a40f1210f4c25ae23ade7bd7448c50e2", "NeedsCompilation": "no", "Packaged": { "Date": "2026-06-03 15:01:23 UTC", "User": "root" }, "Author": "Vyacheslav Lyubchich [aut, cre] (ORCID:\n),\nGeneviève Nesslage [aut] (ORCID:\n)", "Maintainer": "Vyacheslav Lyubchich ", 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