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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_6.0-7.zip, r-release: gamlss.data_6.0-7.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:

Please use the canonical form https://CRAN.R-project.org/package=gamlss.data to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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