Other packages > Find by keyword >

GLDEX  

Fitting Single and Mixture of Generalised Lambda Distributions
View on CRAN: Click here


Download and install GLDEX package within the R console
Install from CRAN:
install.packages("GLDEX")

Install from Github:
library("remotes")
install_github("cran/GLDEX")

Install by package version:
library("remotes")
install_version("GLDEX", "2.0.0.9.4")



Attach the package and use:
library("GLDEX")
Maintained by
Steve Su
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-05-12
Latest Update: 2025-07-23
Description:
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" , King and MacGillivray (1999) "A starship method for fitting the generalised lambda distributions" , Su (2005) "A Discretized Approach to Flexibly Fit Generalized Lambda Distributions to Data" , Su (2007) "Nmerical Maximum Log Likelihood Estimation for Generalized Lambda Distributions" , Su (2007) "Fitting Single and Mixture of Generalized Lambda Distributions to Data via Discretized and Maximum Likelihood Methods: GLDEX in R" , Su (2009) "Confidence Intervals for Quantiles Using Generalized Lambda Distributions" , Su (2010) "Chapter 14: Fitting GLDs and Mixture of GLDs to Data using Quantile Matching Method" , Su (2010) "Chapter 15: Fitting GLD to data using GLDEX 1.0.4 in R" , Su (2015) "Flexible Parametric Quantile Regression Model" , Su (2021) "Flexible parametric accelerated failure time model".
How to cite:
Steve Su (2022). GLDEX: Fitting Single and Mixture of Generalised Lambda Distributions. R package version 2.0.0.9.4, https://cran.r-project.org/web/packages/GLDEX. Accessed 29 Oct. 2026.
Previous versions and publish date:
2.0.0.8 (2022-05-12 09:00), 2.0.0.9.1 (2022-10-18 11:45), 2.0.0.9.2 (2022-10-24 15:37), 2.0.0.9.3 (2023-08-21 06:02), 2.0.0.9 (2022-05-17 11:10), (2026-07-09 08:05)
Other packages that cited GLDEX R package
View GLDEX citation profile
Other R packages that GLDEX depends, imports, suggests or enhances
Complete documentation for GLDEX
Functions, R codes and Examples using the GLDEX R package
Some associated functions: FMKLfittingandbasicfunctions . GLDEX.package . GLDfunctions . Lmoments . QUnif . RSfittingandbasicfunctions . digitsBase . fittingfunctions . fun.RMFMKL.hs.nw . fun.RMFMKL.hs . fun.RMFMKL.lm . fun.RMFMKL.ml.m . fun.RMFMKL.ml . fun.RMFMKL.mm . fun.RMFMKL.qs . fun.RPRS.hs.nw . fun.RPRS.hs . fun.RPRS.lm . fun.RPRS.ml.m . fun.RPRS.ml . fun.RPRS.mm . fun.RPRS.qs . fun.auto.bimodal.ml . fun.auto.bimodal.pml . fun.auto.bimodal.qs . fun.beta . fun.bimodal.fit.ml . fun.bimodal.fit.pml . fun.bimodal.init . fun.check.gld.multi . fun.check.gld . fun.class.regime.bi . fun.comp.moments.ml.2 . fun.comp.moments.ml . fun.data.fit.hs.nw . fun.data.fit.hs . fun.data.fit.lm . fun.data.fit.ml . fun.data.fit.mm . fun.data.fit.qs . fun.diag.ks.g.bimodal . fun.diag.ks.g . fun.diag1 . fun.diag2 . fun.disc.estimation . fun.gen.qrn . fun.lm.theo.gld . fun.mApply . fun.minmax.check.gld . fun.moments.bimodal . fun.moments.r . fun.nclass.e . fun.plot.fit.bm . fun.plot.fit . fun.plot.many.gld . fun.rawmoments . fun.simu.bimodal . fun.theo.bi.mv.gld . fun.theo.mv.gld . fun.which.zero . fun.zero.omit . gl.check.lambda.alt . gl.check.lambda.alt1 . hiddenfunctions . histsu . is.inf . is.notinf . ks.gof . optimisationfunctions . pretty.su . qqplot.gld.bi . qqplot.gld . skewnessandkurtosis . starship.adaptivegrid . starship . starshipj . t1lmoments . which.na . 
Some associated R codes: Lmoments.R . Lmoments_calc.R . QUnif.R . dgl.R . digitsBase.R . fun.Lm.gt.2.fmkl.R . fun.Lm.gt.2.rs.R . fun.RMFMKL.hs.R . fun.RMFMKL.hs.nw.R . fun.RMFMKL.lm.R . fun.RMFMKL.ml.R . fun.RMFMKL.ml.m.R . fun.RMFMKL.mm.R . fun.RMFMKL.qs.R . fun.RPRS.hs.R . fun.RPRS.hs.nw.R . fun.RPRS.lm.R . fun.RPRS.ml.R . fun.RPRS.ml.m.R . fun.RPRS.mm.R . fun.RPRS.qs.R . fun.auto.bimodal.ml.R . fun.auto.bimodal.pml.R . fun.auto.bimodal.qs.R . fun.auto.mm.fmkl.R . fun.auto.perc.rs.R . fun.beta.R . fun.beta1.R . fun.bimodal.fit.ml.R . fun.bimodal.fit.pml.R . fun.bimodal.init.R . fun.check.gld.R . fun.check.gld.multi.R . fun.class.regime.bi.R . fun.comp.moments.ml.2.R . fun.comp.moments.ml.R . fun.data.fit.hs.R . fun.data.fit.hs.nw.R . fun.data.fit.lm.R . fun.data.fit.ml.R . fun.data.fit.mm.R . fun.data.fit.qs.R . fun.diag.ks.g.R . fun.diag.ks.g.bimodal.R . fun.diag1.R . fun.diag2.R . fun.disc.estimation.R . fun.fit.gl.v.lm.R . fun.fit.gl.v.lma.R . fun.fit.gl.v2a.R . fun.fit.gl.v2a.nw.R . fun.fit.gl.v2b.R . fun.fit.gl.v2b.nw.R . fun.fit.gl.v3.R . fun.fit.gl.v3a.R . fun.fit.gl.v3m.R . fun.fit.gl.v4.R . fun.fit.gl.v4a.R . fun.fit.gl.v6.R . fun.fit.gl.v6a.R . fun.fmkl.L30.R . fun.fmkl.L40.R . fun.fmkl.R . fun.fmkl.mm.min.R . fun.fmkl.mm.sol.R . fun.fmkl.mm.sol.alt.R . fun.fmkl.nr.R . fun.fmkl0.R . fun.fmkla.R . fun.fmklb.R . fun.gen.qrn.R . fun.lambda.percentile.R . fun.lm.theo.gld.R . fun.mApply.R . fun.minmax.check.gld.R . fun.moments.R . fun.moments.bimodal.R . fun.moments.r.R . fun.nclass.e.R . fun.percentile.R . fun.plot.fit.R . fun.plot.fit.bm.R . fun.plot.many.gld.R . fun.rawmoments.R . fun.rs.nr.R . fun.rs.perc.gradient.R . fun.rs.perc.min.R . fun.rs.perc.sol.R . fun.rs.perc.sol.alt.R . fun.rsb.R . fun.simu.bimodal.R . fun.theo.bi.mv.gld.R . fun.theo.mv.gld.R . fun.which.zero.R . fun.zero.omit.R . gl.check.lambda.alt.R . gl.check.lambda.alt1.R . hiddenfunctions.R . histsu.R . is.inf.R . is.notinf.R . ks.gof.R . kurtosis.R . optim.fun.bi.final.R . optim.fun.lm.R . optim.fun.qs.R . optim.fun2.R . optim.fun2.nw.R . optim.fun3.C.R . optim.fun3.C.m.R . optim.fun3.R . optim.fun4.R . optim.fun5.R . optim.fun6.R . optim.fun7.R . pgl.R . pretty.su.R . qdgl.R . qgl.R . qqplot.gld.R . qqplot.gld.bi.R . rgl.R . sHalton.R . skewness.R . starship.R . t1lmoments.R . which.na.R .  Full GLDEX package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

binovisualfields  
Depth-Dependent Binocular Visual Fields Simulation
Simulation and visualization depth-dependent integrated visual fields. Visual fields are measured mo ...
Download / Learn more Package Citations See dependency  
personalized2part  
Two-Part Estimation of Treatment Rules for Semi-Continuous Data
Implements the methodology of Huling, Smith, and Chen (2020) , w ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
GEVcdn  
GEV Conditional Density Estimation Network
Implements a flexible nonlinear modelling framework for nonstationary generalized extreme value anal ...
Download / Learn more Package Citations See dependency  
fastRG  
Sample Generalized Random Dot Product Graphs in Linear Time
Samples generalized random product graphs, a generalization of a broad class of network models. Giv ...
Download / Learn more Package Citations See dependency  

29,218

R Packages

247,686

Dependencies

77,281

Author Associations

29,219

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA