Package: GLDEX
Version: 2.0.0.9.4
Date: 2025-07-23
Title: Fitting Single and Mixture of Generalised Lambda Distributions
Authors@R: c(person("Steve", "Su", role = c("aut", "cre","cph"),
                      email = "allegro.su@gmail.com", comment=c(ORCID = "0000-0002-3368-4926")),
                      person("Martin", "Maechler", role = "aut"),
                      person("Juha", "Karvanen", role = "aut"),
                      person("Robert", "King", role = "aut"),
                      person("Benjamin", "Dean", role = "ctb"),
                      person("R", "Core Team", role = "aut"))
Maintainer: Steve Su <allegro.su@gmail.com>
Depends: cluster, grDevices, graphics, stats, spacefillr
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" <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>.
License: GPL (>= 3)
NeedsCompilation: yes
Packaged: 2025-07-23 07:53:06 UTC; allegro
Author: Steve Su [aut, cre, cph] (ORCID:
    <https://orcid.org/0000-0002-3368-4926>),
  Martin Maechler [aut],
  Juha Karvanen [aut],
  Robert King [aut],
  Benjamin Dean [ctb],
  R Core Team [aut]
Repository: CRAN
Date/Publication: 2025-07-23 08:30:10 UTC
Built: R 4.6.0; aarch64-apple-darwin23; 2026-04-25 19:11:25 UTC; unix
Archs: GLDEX.so.dSYM
