GLDEX
2.0.0.9.4Fitting Single and Mixture of Generalised Lambda Distributions
Overview
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.
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- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
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Code & Tests
- Cyclomatic complexity
- 2.0 median / 28 max
Test coverage
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Functions
162 0 exported
Complexity
3.5 avg / 28 max
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162 nodes / 263 edges
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People & History
16 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- 2.0.0.9.4Latest
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- 2.0.0.9.32023-08-21 · diff ↗
- RR 4.3.0 released · 2023-04-21
- 2.0.0.9.22022-10-24 · diff ↗
- 2.0.0.9.12022-10-18 · diff ↗
- 2.0.0.92022-05-17 · diff ↗
- 2.0.0.82022-05-12 · diff ↗
- removedRemoved from CRAN2022-04-29misrepresentation of authorship and ownership of copyright Of included ACM code. Also likely not allowed under GPL (>3) license Back on CRAN on 2022-05-12
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- RR 4.0.0 released · 2020-04-24
- 2.0.0.72020-02-05 · diff ↗
- 2.0.0.62019-08-23 · diff ↗
Show 16 earlier events
- RR 3.6.0 released · 2019-04-26
- RR 3.5.0 released · 2018-04-23
- RR 3.4.0 released · 2017-04-21
- 2.0.0.52016-12-26 · diff ↗
- 2.0.0.42016-07-27 · diff ↗
- RR 3.3.0 released · 2016-05-03
- 2.0.0.32015-07-04 · diff ↗
- RR 3.2.0 released · 2015-04-16
- 2.0.0.22014-12-23 · diff ↗
- 2.0.0.12014-11-01 · diff ↗
- RR 3.1.0 released · 2014-04-10
- 2.0.0.02014-03-07 · diff ↗
- 1.0.4.52013-12-03 · diff ↗
- RR 3.0.0 released · 2013-04-03
- 1.0.4.42012-10-24
- RR 2.15.0 released · 2012-03-30
Package metadata
- First published
- 2022-05-12
- Total releases
- 16 / 4 yrs
- License
- GPL (>= 3) OSI
- Download size
- 89 KB
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