Package: LambertW
Type: Package
Title: Probabilistic Models to Analyze and Gaussianize Heavy-Tailed,
        Skewed Data
Version: 0.6.6
Date: 2020-12-13
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
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: 7.1.1
Encoding: UTF-8
VignetteBuilder: knitr
Packaged: 2020-12-16 02:13:51 UTC; georg
Author: Georg M. Goerg [aut, cre]
Maintainer: Georg M. Goerg <im@gmge.org>
Date/Publication: 2020-12-16 06:20:11 UTC
Built: R 3.6.2; x86_64-apple-darwin15.6.0; 2020-12-17 10:18:20 UTC; unix
Archs: LambertW.so.dSYM
