Robert King <Robert.King@newcastle.edu.au>, Ben Dean <benjamin.dean@uon.edu.au>
The generalised lambda distribution, or Tukey lambda distribution,
provides a wide variety of shapes with one functional form.
This package provides random numbers, quantiles, probabilities, densities for four
different parameterisations of the distribution.
It provides density function, distribution function and Quantile-Quantile plots.
It implements a variety of estimation method for the distribution, including
diagnostic plots.
Estimation methods include the starship (all 4 parameterisations) and a number of methods
for only the FKML parameterisation.  These include maximum likelihood, maximum product
of spacings, Titterington's method, L moments, Trimmed L moments and
Distributional Least Absolutes.

Estimation and Use of the Generalised (Tukey) Lambda
Distribution
The  generalised lambda distribution, or Tukey lambda distribution, provides a wide variety of shapes with one functional form.
This package provides random numbers, quantiles, probabilities, densities and density quantiles for four different parameterisations of the distribution.
It provides the density function, distribution function, and Quantile-Quantile plots.
It implements a variety of estimation methods for the distribution, including diagnostic plots.
Estimation methods include the starship (all 4 parameterisations) and a number of methods for only the FKML parameterisation.
These include maximum likelihood, maximum product of spacings, Titterington's method, Moments, L-Moments, Trimmed L-Moments and Distributional Least Absolutes.

Robert King <Robert.King@newcastle.edu.au>,
Benjamin Dean <Benjamin.Dean@uon.edu.au>, Sigbert Klinke

Robert King <Robert.King@newcastle.edu.au>,
Benjamin Dean <Benjamin.Dean@uon.edu.au>, Sigbert Klinke, Paul van Staden
The  generalised lambda distribution, or Tukey lambda distribution, provides a wide variety of shapes with one functional form.
This package provides random numbers, quantiles, probabilities, densities and density quantiles for four different types of the distribution;
see documentation for details.
It provides the density function, distribution function, and Quantile-Quantile plots.
It implements a variety of estimation methods for the distribution, including diagnostic plots.
Estimation methods include the starship (all 4 types),
method of L-Moments for the GPD and FKML types, and a number of methods for only the FKML parameterisation.
These include maximum likelihood, maximum product of spacings, Titterington's method, Moments, Trimmed L-Moments and Distributional Least Absolutes.