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<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:title>Fitting Single and Mixture of Generalised Lambda Distributions</dc:title>
  <dc:title>R package GLDEX version 2.0.0.9.4</dc:title>
  <dc:subject>CRAN Task View: Cluster (https://CRAN.R-project.org/view=Cluster)</dc:subject>
  <dc:subject>CRAN Task View: Distributions (https://CRAN.R-project.org/view=Distributions)</dc:subject>
  <dc: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" &lt;doi:10.1016/j.csda.2007.06.021&gt;, King and MacGillivray (1999) "A starship method for fitting the generalised lambda distributions" &lt;doi:10.1111/1467-842X.00089&gt;, Su (2005) "A Discretized Approach to Flexibly Fit Generalized Lambda Distributions to Data" &lt;doi:10.22237/jmasm/1130803560&gt;, Su (2007) "Nmerical Maximum Log Likelihood Estimation for Generalized Lambda Distributions" &lt;doi:10.1016/j.csda.2006.06.008&gt;, Su (2007) "Fitting Single and Mixture of Generalized Lambda Distributions to Data via Discretized and Maximum Likelihood Methods: GLDEX in R" &lt;doi:10.18637/jss.v021.i09&gt;, Su (2009) "Confidence Intervals for Quantiles Using Generalized Lambda Distributions" &lt;doi:10.1016/j.csda.2009.02.014&gt;, Su (2010) "Chapter 14: Fitting GLDs and Mixture of GLDs to Data using Quantile Matching Method" &lt;doi:10.1201/b10159&gt;, Su (2010) "Chapter 15: Fitting GLD to data using GLDEX 1.0.4 in R" &lt;doi:10.1201/b10159&gt;, Su (2015)   "Flexible Parametric Quantile Regression Model" &lt;doi:10.1007/s11222-014-9457-1&gt;, Su (2021) "Flexible parametric accelerated failure time model"&lt;doi:10.1080/10543406.2021.1934854&gt;.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: cluster, grDevices, graphics, stats, spacefillr</dc:relation>
  <dc:creator>Steve Su &lt;allegro.su@gmail.com&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Steve Su [aut, cre, cph] (ORCID:
    &lt;https://orcid.org/0000-0002-3368-4926&gt;),
  Martin Maechler [aut],
  Juha Karvanen [aut],
  Robert King [aut],
  Benjamin Dean [ctb],
  R Core Team [aut]</dc:contributor>
  <dc:rights>GPL (&gt;= 3)</dc:rights>
  <dc:date>2025-07-23</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=GLDEX</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.GLDEX</dc:identifier>
</oai_dc:dc>
