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GLDEX: Fitting Single and Mixture of Generalised Lambda Distributions

The fitting algorithms considered in this package have two major objectives. One is to provide a smoothing device to fit distributions to data using the weight and unweighted discretised approach based on the bin width of the histogram. The other is to provide a definitive fit to the data set using the maximum likelihood and quantile matching estimation. Other methods such as moment matching, starship method, L moment matching are also provided. Diagnostics on goodness of fit can be done via qqplots, KS-resample tests and comparing mean, variance, skewness and kurtosis of the data with the fitted distribution. References include the following: Karvanen and Nuutinen (2008) "Characterizing the generalized lambda distribution by L-moments" <doi:10.1016/j.csda.2007.06.021>, King and MacGillivray (1999) "A starship method for fitting the generalised lambda distributions" <doi:10.1111/1467-842X.00089>, Su (2005) "A Discretized Approach to Flexibly Fit Generalized Lambda Distributions to Data" <doi:10.22237/jmasm/1130803560>, Su (2007) "Nmerical Maximum Log Likelihood Estimation for Generalized Lambda Distributions" <doi:10.1016/j.csda.2006.06.008>, Su (2007) "Fitting Single and Mixture of Generalized Lambda Distributions to Data via Discretized and Maximum Likelihood Methods: GLDEX in R" <doi:10.18637/jss.v021.i09>, Su (2009) "Confidence Intervals for Quantiles Using Generalized Lambda Distributions" <doi:10.1016/j.csda.2009.02.014>, Su (2010) "Chapter 14: Fitting GLDs and Mixture of GLDs to Data using Quantile Matching Method" <doi:10.1201/b10159>, Su (2010) "Chapter 15: Fitting GLD to data using GLDEX 1.0.4 in R" <doi:10.1201/b10159>, Su (2015) "Flexible Parametric Quantile Regression Model" <doi:10.1007/s11222-014-9457-1>, Su (2021) "Flexible parametric accelerated failure time model"<doi:10.1080/10543406.2021.1934854>.

Version: 2.0.0.9.3
Depends: cluster, grDevices, graphics, stats, spacefillr
Published: 2023-08-21
Author: Steve Su ORCID iD [aut, cre, cph], Martin Maechler [aut], Juha Karvanen [aut], Robert King [aut], Benjamin Dean [ctb], R Core Team [aut]
Maintainer: Steve Su <allegro.su at gmail.com>
License: GPL (≥ 3)
NeedsCompilation: yes
Materials: README
In views: Cluster, Distributions
CRAN checks: GLDEX results

Documentation:

Reference manual: GLDEX.pdf

Downloads:

Package source: GLDEX_2.0.0.9.3.tar.gz
Windows binaries: r-devel: GLDEX_2.0.0.9.3.zip, r-release: GLDEX_2.0.0.9.3.zip, r-oldrel: GLDEX_2.0.0.9.3.zip
macOS binaries: r-release (arm64): GLDEX_2.0.0.9.3.tgz, r-oldrel (arm64): GLDEX_2.0.0.9.3.tgz, r-release (x86_64): GLDEX_2.0.0.9.3.tgz, r-oldrel (x86_64): GLDEX_2.0.0.9.3.tgz
Old sources: GLDEX archive

Reverse dependencies:

Reverse depends: GLDreg
Reverse suggests: fitteR

Linking:

Please use the canonical form https://CRAN.R-project.org/package=GLDEX to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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