| 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 : lp155.1.1
| Date : 2023-09-14 04:10:42
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| Group : Development/Libraries/Other
| Source RPM : R-GLDEX-2.0.0.9.3-lp155.1.1.src.rpm
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| Size : 0.53 MB
| |
| Packager : https://www_suse_com/
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| Summary : Fitting Single and Mixture of Generalised Lambda Distributions
|
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/15.5/x86_64 |
