Reference

All functions

BetaLambdaLambda()

Calculates Beta function for two identical parameters, allowing non-integer negative values

dgl() dqgl() pgl() qgl() rgl()

The Generalised Lambda Distribution

summary(<starship>) print(<starship>)

Print (or summarise) the results of a starship estimation

fit.fkml()

Estimate parameters of the FKML parameterisation of the generalised lambda distribution

fit.fkml.moments() fit.fkml.moments.val()

Method of moments estimation for the FKML type of the generalised lambda distribution

fit.gpd() fit.gpd.lmom() fit.gpd.lmom.given()

Estimate parameters of the GPD type generalised lambda distribution

gl.check.lambda()

Function to check the validity of parameters of the generalized lambda distribution

gld-Deprecated

Deprecated functions

gld.lmoments()

Calculate L-Moments of the GPD type generalised lambda distribution for given parameter values

gld.moments()

Calculate moments of the FKML type of the generalised lambda distribution for given parameter values

plot(<starship>)

Plots to compare a fitted generalised lambda distribution to data

plotgld() plotglc()

Plots of density and distribution function for the generalised lambda distribution

qdgl()

Deprecated function for density quantile function of gld. See qdgl instead

qqgl()

Quantile-Quantile plot against the generalised lambda distribution

starship()

Carry out the “starship” estimation method for the generalised lambda distribution

starship.adaptivegrid()

Carry out the “starship” estimation method for the generalised lambda distribution using a grid-based search

starship.obj()

Objective function that is minimised in starship estimation method