{ "_id": "6a1eef85b401979e73412bdc", "Package": "LambertW", "Type": "Package", "Title": "Probabilistic Models to Analyze and Gaussianize Heavy-Tailed,\nSkewed Data", "Version": "0.6.9-2", "Authors@R": "person(given = \"Georg M.\",\nfamily = \"Goerg\",\nrole = c(\"aut\", \"cre\"),\nemail = \"im@gmge.org\")", "URL": "https://github.com/gmgeorg/LambertW,\nhttps://arxiv.org/abs/0912.4554,\nhttps://arxiv.org/abs/1010.2265,\nhttps://arxiv.org/abs/1602.02200", "BugReports": "https://github.com/gmgeorg/LambertW/issues", "Description": "Lambert W x F distributions are a generalized framework to\nanalyze skewed, heavy-tailed data. It is based on an\ninput/output system, where the output random variable (RV) Y is\na non-linearly transformed version of an input RV X ~ F with\nsimilar properties as X, but slightly skewed (heavy-tailed).\nThe transformed RV Y has a Lambert W x F distribution. This\npackage contains functions to model and analyze skewed,\nheavy-tailed data the Lambert Way: simulate random samples,\nestimate parameters, compute quantiles, and plot/ print results\nnicely. The most useful function is 'Gaussianize', which works\nsimilarly to 'scale', but actually makes the data Gaussian. A\ndo-it-yourself toolkit allows users to define their own Lambert\nW x 'MyFavoriteDistribution' and use it in their analysis right\naway.", "License": "GPL (>= 2)", "LazyLoad": "yes", "NeedsCompilation": "yes", "RoxygenNote": "7.3.2", "Encoding": "UTF-8", "VignetteBuilder": "knitr", "Config/pak/sysreqs": "make libicu-dev", "Repository": "https://gmgeorg.r-universe.dev", "Date/Publication": "2025-08-21 15:30:16 UTC", "RemoteUrl": "https://github.com/gmgeorg/lambertw", "RemoteRef": "HEAD", "RemoteSha": "f48f68b6ae7e3a247edb5f855663470d8ffe6358", "Packaged": { "Date": "2026-05-19 08:36:03 UTC", "User": "root" }, "Author": "Georg M. Goerg [aut, cre]", "Maintainer": "Georg M. 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