GLDEX (1.0.4.4)
Fitting Single and Mixture of Generalised Lambda Distributions (RS and FMKL) using Various Methods.
http://www.uwa.edu.au/people/steve.su
http://cran.r-project.org/web/packages/GLDEX
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.
Maintainer:
Steve Su
Author(s): Steve Su, Diethelm Wuertz and Rmetrics core team members for low discrepancy algorithm, Robert King for gld C codes, Benjamin Dean for corrections and input in ks.gof code
License: GPL (>= 3)
Uses: cluster
Released about 1 year ago.
9 previous versions
- GLDEX_1.0.4.3. Released about 1 year ago.
- GLDEX_1.0.4.2. Released about 1 year ago.
- GLDEX_1.0.4.1. Released over 3 years ago.
- GLDEX_1.0.3.4. Released over 3 years ago.
- GLDEX_1.0.3.3. Released over 3 years ago.
- GLDEX_1.0.3.2. Released over 3 years ago.
- GLDEX_1.0.3.1. Released over 4 years ago.
- GLDEX_1.0.2. Released over 5 years ago.
- GLDEX_1.0.1. Released over 5 years ago.
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