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_6.0-6.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 depends: | gamlss |
Reverse imports: | gamlss.foreach |
Reverse suggests: | broom.mixed, counterfactuals, HSAUR3, insight, mlt.docreg, tbm, tram, tscount |
Please use the canonical form https://CRAN.R-project.org/package=gamlss.data to link to this page.