Name : R-GLDEX
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Version : 2.0.0.9.3
| Vendor : obs://build_opensuse_org/devel:languages:R
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Release : 1.15
| Date : 2024-08-29 00:30:20
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Group : Development/Libraries/Other
| Source RPM : R-GLDEX-2.0.0.9.3-1.15.src.rpm
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Size : 0.52 MB
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Packager : (none)
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Summary : Fitting Single and Mixture of Generalised Lambda Distributions
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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>.
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RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/x86_64 |