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 07 Mar. 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)
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

testDriveR  
Teaching Data for Statistics and Data Science
Provides data sets for teaching statistics and data science courses. It includes a sample of data f ...
Download / Learn more Package Citations See dependency  
SAMtool  
Stock Assessment Methods Toolkit
Simulation tools for closed-loop simulation are provided for the 'MSEtool' operating model to inform ...
Download / Learn more Package Citations See dependency  
portalr  
Create Useful Summaries of the Portal Data
Download and generate summaries for the rodent, plant, ant, and weather data from the Portal Projec ...
Download / Learn more Package Citations See dependency  
lmSubsets  
Exact Variable-Subset Selection in Linear Regression
Exact and approximation algorithms for variable-subset selection in ordinary linear regression mode ...
Download / Learn more Package Citations See dependency  
ReviewR  
A Light-Weight, Portable Tool for Reviewing Individual Patient Records
A portable Shiny tool to explore patient-level electronic health record data and perform chart revi ...
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  

26,264

R Packages

223,360

Dependencies

70,376

Author Associations

26,265

Publication Badges

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