Title: Analyze and Gaussianize Heavy-Tailed, Skewed Data
Description: Lambert W x F distributions are a generalized framework to analyze
skewed, heavy-tailed data. They are based on an input/output system, where
the input random variable (RV) X ~ F, and the output Y is a non-linearly
transformed version of X with similar properties, but slightly skewed and/or
heavy-tailed. This 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. Probably the most important
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

Title: Analyze and Gaussianize heavy-tailed, skewed data

Suggests: Rsolnp, nortest, numDeriv, testthat (>= 0.9.0), gsl

Title: Probabilistic Models to Analyze and Gaussianize Heavy-Tailed,
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. Probably the most important 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.
Imports: lamW (>= 1.0.0), stats, graphics, grDevices, RColorBrewer,
Suggests: boot, Rsolnp, nortest, numDeriv, testthat, gsl, moments,

Suggests: boot, Rsolnp, nortest, numDeriv, testthat, moments,

Imports: lamW (>= 1.3.0), stats, graphics, grDevices, RColorBrewer,
Suggests: boot, Rsolnp, nortest, numDeriv, testthat, data.table,