gamlssx: Generalized Additive Extreme Value Models for Location, Scale and Shape

Fits generalized additive models for the location, scale and shape parameters of a generalized extreme value response distribution. The methodology is based on Rigby, R.A. and Stasinopoulos, D.M. (2005), <doi:10.1111/j.1467-9876.2005.00510.x> and implemented using functions from the 'gamlss' package <doi:10.32614/CRAN.package.gamlss>.

Version: 1.0.1
Depends: R (≥ 3.3.0)
Imports: gamlss, gamlss.dist, nieve, stats
Suggests: testthat (≥ 3.0.0)
Published: 2024-06-26
DOI: 10.32614/CRAN.package.gamlssx
Author: Paul J. Northrop [aut, cre, cph], Jennifer Ji [aut]
Maintainer: Paul J. Northrop <p.northrop at ucl.ac.uk>
BugReports: https://github.com/paulnorthrop/gamlssx/issues
License: GPL (≥ 3)
URL: https://paulnorthrop.github.io/gamlssx/, https://github.com/paulnorthrop/gamlssx
NeedsCompilation: no
Materials: README
CRAN checks: gamlssx results

Documentation:

Reference manual: gamlssx.pdf

Downloads:

Package source: gamlssx_1.0.1.tar.gz
Windows binaries: r-devel: gamlssx_1.0.1.zip, r-release: gamlssx_1.0.1.zip, r-oldrel: gamlssx_1.0.1.zip
macOS binaries: r-release (arm64): gamlssx_1.0.1.tgz, r-oldrel (arm64): gamlssx_1.0.1.tgz, r-release (x86_64): gamlssx_1.0.1.tgz, r-oldrel (x86_64): gamlssx_1.0.1.tgz

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