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 | 
| 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 | 
| Reference manual: | gamlss.data.html , gamlss.data.pdf | 
| 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 depends: | gamlss | 
| Reverse imports: | gamlss.foreach | 
| Reverse suggests: | broom.mixed, counterfactuals, HSAUR3, insight, mlt.docreg, RTMBdist, tbm, tram, tscount | 
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