DESCRIPTION

Package: LambertW
Type: Package
Title: Probabilistic Models to Analyze and Gaussianize Heavy-Tailed, Skewed Data
Version: 0.6.9-1
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
Repository: CRAN
LinkingTo: Rcpp, lamW
RoxygenNote: 7.2.3
Encoding: UTF-8
VignetteBuilder: knitr