Lambert W x F distributions are a generalized framework to analyze skewed, heavy-tailed data. It is based on an input/output system, where the output random variable (RV) Y is a non-linearly transformed version of an input RV X ~ F with similar properties as X, but slightly skewed (heavy-tailed). The transformed RV Y has a Lambert W x F distribution. This package contains functions to model and analyze skewed, heavy-tailed data the Lambert Way: simulate random samples, estimate parameters, compute quantiles, and plot/ print results nicely. The most useful function is 'Gaussianize', which works similarly to 'scale', but actually makes the data Gaussian. A do-it-yourself toolkit allows users to define their own Lambert W x 'MyFavoriteDistribution' and use it in their analysis right away.
Version: 0.6.9-1 Depends: MASS, ggplot2 Imports: lamW (≥ 1.3.0), stats, graphics, grDevices, RColorBrewer, reshape2, Rcpp (≥ 1.0.4), methods LinkingTo: Rcpp, lamW Suggests: boot, Rsolnp, nortest, numDeriv, testthat, data.table, moments, knitr, markdown, vars Published: 2023-11-30 DOI: 10.32614/CRAN.package.LambertW Author: Georg M. Goerg [aut, cre] Maintainer: Georg M. Goerg <im at gmge.org> BugReports: https://github.com/gmgeorg/LambertW/issues License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] URL: https://github.com/gmgeorg/LambertW https://arxiv.org/abs/0912.4554 https://arxiv.org/abs/1010.2265 https://arxiv.org/abs/1602.02200 NeedsCompilation: yes Citation: LambertW citation info Materials: README NEWS In views: Distributions CRAN checks: LambertW results Documentation: Downloads: Reverse dependencies: Linking:Please use the canonical form https://CRAN.R-project.org/package=LambertW to link to this page.
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