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Authors: D. Mikis Stasinopoulos, Robert A. Rigby
Title: [download]
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Generalized Additive Models for Location Scale and Shape (GAMLSS) in R
Reference: Vol. 23, Issue 7, Dec 2007
Submitted 2007-07-19, Accepted 2007-11-28
Type: Article
Abstract:

GAMLSS is a general framework for fitting regression type models where the distribution of the response variable does not have to belong to the exponential family and includes highly skew and kurtotic continuous and discrete distribution. GAMLSS allows all the parameters of the distribution of the response variable to be modelled as linear/non-linear or smooth functions of the explanatory variables. This paper starts by defining the statistical framework of GAMLSS, then describes the current implementation of GAMLSS in R and finally gives four different data examples to demonstrate how GAMLSS can be used for statistical modelling.

Paper: [download]
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Generalized Additive Models for Location Scale and Shape (GAMLSS) in R
(application/pdf, 2.1 MB)
Supplements: [download]
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gamlss.cens_1.7.0.tar.gz: R source package
(application/x-gzip, 9.1 KB)
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gamlss.dist_1.7-0.tar.gz: R source package
(application/x-gzip, 54.4 KB)
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gamlss.mx_1.7-0.tar.gz: R source package
(application/x-gzip, 20.2 KB)
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gamlss.nl_1.7-0.tar.gz: R source package
(application/x-gzip, 25.7 KB)
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gamlss.tr_1.7-0.tar.gz: R source package
(application/x-gzip, 7.6 KB)
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gamlss_1.7-0.tar.gz: R source package
(application/x-gzip, 2.7 MB)
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v23i07.R: R example scripts from the paper
(text/plain, 7.6 KB)
Resources: BibTeX | OAI
Creative Commons License
This work is licensed under the licenses
Paper: Creative Commons Attribution 3.0 Unported License
Code: GNU General Public License (at least one of version 2 or version 3)
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