Search Results:

Showing results 1 to 10 of 3,026.


Function p2colasr [dixon v0.0-6]
keywords
distribution
title
P-value for a discrete distribution on small sample data
description
Computes the p-value for a two-sided hypothesis test following Dixon's (2002:145) description of the method of Agresti & Min (2001).
Function cdf2quantile [gbutils v0.2-1]
keywords
distribution
title
Calculate a quantile from a distribution function
description
Numerically calculate a quantile from a distribution function.
Function fit.fkml [gld v2.4.1]
keywords
distribution
title
Estimate parameters of the FKML parameterisation of the generalised lambda distribution
description
Estimates parameters of the FKML parameterisation of the Generalised $lambda$ Distribution. Five estimation methods are available; Numerical Maximum Likelihood, Maximum Product of Spacings, Titterington's Method, the Starship (also available in the starship function, which uses the same underlying code as this for the fkml parameterisation), and Trimmed L-Moments.
Function plot.starship [gld v2.4.1]
keywords
distribution
title
Plots to compare a fitted generalised lambda distribution to data
description
Plots to compare a Generalised Lambda Distribution fitted via the starship to data
Function gld.lmoments [gld v2.4.1]
keywords
distribution
title
Calculate L-Moments of the GPD type generalised lambda distribution for given parameter values
description
Calculates the first four L-Moments of the GPD type generalised $lambda$ distribution for given parameter values.
Function gld.moments [gld v2.4.1]
keywords
distribution
title
Calculate moments of the FKML type of the generalised lambda distribution for given parameter values
description
Calculates the mean, variance, skewness ratio and kurtosis ratio of the generalised $lambda$ distribution for given parameter values.
Function fit.fkml.moments.val [gld v2.4.1]
keywords
distribution
title
Method of moments estimation for the FKML type of the generalised lambda distribution using given moment values
description
Estimates parameters of the generalised lambda distribution (FKML type) using the Method of Moments on the basis of moment values (mean, variance, skewness ratio and kurtosis ratio (note, not the excess kurtosis)).
Function print.starship [gld v2.4.1]
keywords
distribution
title
Print (or summarise) the results of a starship estimation
description
Print (or summarise) the results of a starship estimation of the parameters of the Generalised Lambda Distribution
Function gl.check.lambda [gld v2.4.1]
keywords
distribution
title
Function to check the validity of parameters of the generalized lambda distribution
description
Checks the validity of parameters of the generalized lambda. The tests are simple for the FMKL and FM5 parameterisations, and much more complex for the RS parameterisation.
Function starship.adaptivegrid [gld v2.4.1]
keywords
distribution
title
Carry out the ``starship'' estimation method for the generalised lambda distribution using a grid-based search
description
Calculates estimates for the generalised lambda distribution on the basis of data, using the starship method. The starship method is built on the fact that the generalised lambda distribution (gld) is a transformation of the uniform distribution. This method finds the parameters that transform the data closest to the uniform distribution. This function uses a grid-based search.