gamlss.data: Data for Generalized Additive Models for Location Scale and Shape

Data used as examples in the books on Generalized Additive Models for Location Scale and Shape: Stasinopoulos, Rigby, Heller, Voudouris, De Bastiani (2017). Flexible Regression and Smoothing: Using GAMLSS in R, <doi:10.1201/b21973>. Rigby, Stasinopoulos, Heller, De Bastiani (2019). Distributions for Modeling Location, Scale, and Shape Using GAMLSS in R, <doi:10.1201/9780429298547>. Stasinopoulos, Kneib, Klein, Mayr, Heller (2024). Generalized Additive Models for Location, Scale and Shape: A Distributional Regression Approach, with Applications, <doi:10.1017/9781009410076>.

Version: 6.0-7
Depends: R (≥ 3.5.0)
Published: 2025-09-04
DOI: 10.32614/CRAN.package.gamlss.data
Author: Mikis Stasinopoulos ORCID iD [aut, cre], Robert Rigby ORCID iD [aut], Fernanda De Bastiani ORCID iD [ctb]
Maintainer: Mikis Stasinopoulos <d.stasinopoulos at gre.ac.uk>
BugReports: https://github.com/gamlss-dev/gamlss.data/issues
License: GPL-2 | GPL-3
URL: https://www.gamlss.com/
NeedsCompilation: no
Materials: README, NEWS
CRAN checks: gamlss.data results

Documentation:

Reference manual: gamlss.data.html , gamlss.data.pdf

Downloads:

Package source: gamlss.data_6.0-7.tar.gz
Windows binaries: r-devel: gamlss.data_6.0-6.zip, r-release: gamlss.data_6.0-6.zip, r-oldrel: gamlss.data_6.0-7.zip
macOS binaries: r-release (arm64): gamlss.data_6.0-7.tgz, r-oldrel (arm64): gamlss.data_6.0-7.tgz, r-release (x86_64): gamlss.data_6.0-7.tgz, r-oldrel (x86_64): gamlss.data_6.0-7.tgz
Old sources: gamlss.data archive

Reverse dependencies:

Reverse depends: gamlss
Reverse imports: gamlss.foreach
Reverse suggests: broom.mixed, counterfactuals, HSAUR3, insight, mlt.docreg, tbm, tram, tscount

Linking:

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