Package: LambertW
Type: Package
Title: Probabilistic Models to Analyze and Gaussianize Heavy-Tailed,
        Skewed Data
Version: 0.6.9-2
Authors@R: 
    person(given = "Georg M.",
           family = "Goerg",
           role = c("aut", "cre"),
           email = "im@gmge.org")
URL: https://github.com/gmgeorg/LambertW,
        https://arxiv.org/abs/0912.4554,
        https://arxiv.org/abs/1010.2265,
        https://arxiv.org/abs/1602.02200
BugReports: https://github.com/gmgeorg/LambertW/issues
Description: 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.
Depends: MASS, ggplot2,
Imports: lamW (>= 1.3.0), stats, graphics, grDevices, RColorBrewer,
        reshape2, Rcpp (>= 1.0.4), methods
Suggests: boot, Rsolnp, nortest, numDeriv, testthat, data.table,
        moments, knitr, markdown, vars,
License: GPL (>= 2)
LazyLoad: yes
NeedsCompilation: yes
LinkingTo: Rcpp, lamW
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: 2026-06-18 08:35:50 UTC; root
Author: Georg M. Goerg [aut, cre]
Maintainer: Georg M. Goerg <im@gmge.org>