Package: gamlssx 1.0.2

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>.

Authors:Paul J. Northrop [aut, cre, cph], Jennifer Ji [aut]

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gamlssx.pdf |gamlssx.html✨
gamlssx/json (API)
NEWS

# Install 'gamlssx' in R:
install.packages('gamlssx', repos = c('https://paulnorthrop.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/paulnorthrop/gamlssx/issues

Pkgdown site:https://paulnorthrop.github.io

Datasets:
  • fremantle - Annual Maximum Sea Levels at Fremantle, Western Australia

On CRAN:

Conda-Forge:

extreme-value-statisticsextremesgeneralized-additive-modelsregressionregression-analysis

4.18 score 3 stars 3 scripts 181 downloads 14 exports 9 dependencies

Last updated 6 days agofrom:63d9d4448a. Checks:8 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 28 2025
R-4.5-winOKFeb 28 2025
R-4.5-macOKFeb 28 2025
R-4.5-linuxOKFeb 28 2025
R-4.4-winOKFeb 28 2025
R-4.4-macOKFeb 28 2025
R-4.3-winOKFeb 28 2025
R-4.3-macOKFeb 28 2025

Exports:dGEVfitGEVgev11egev12egev13egev22egev23egev33egevExpInfoGEVfisherGEVquasipGEVqGEVrGEV

Dependencies:gamlssgamlss.datagamlss.distlatticeMASSMatrixnievenlmesurvival