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 plots.  It also includes an implementation of the starship
estimation method for the distribution.

Estimation and use of the generalised (Tukey) lambda distribution

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 plots.  It also
includes an implementation of the starship estimation method
for the 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 plots (for the density
and distribution functions).  It also includes an
implementation of the starship estimation method for the
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 plots (for the density and distribution functions).  It also includes
an implementation of the starship estimation method for the 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 for four different parameterisations of the distribution.
It provides density function, distribution function and Quantile-Quantile plots.
It implements the starship estimation method for the distribution, including diagnostic plots.

Robert King <Robert.King@newcastle.edu.au>, Ben Dean <benjamin.dean@uon.edu.au>, Sigbert Klinke
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 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, L moments, Trimmed L moments and Distributional Least Absolutes.