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gamlss: Generalized Additive Models for Location Scale and Shape

Functions for fitting the Generalized Additive Models for Location Scale and Shape introduced by Rigby and Stasinopoulos (2005), <doi:10.1111/j.1467-9876.2005.00510.x>. The models use a distributional regression approach where all the parameters of the conditional distribution of the response variable are modelled using explanatory variables.

Version: 5.4-22
Depends: R (≥ 3.3.0), graphics, stats, splines, utils, grDevices, gamlss.data (≥ 5.0-0), gamlss.dist (≥ 4.3.1), nlme, parallel
Imports: MASS, survival, methods
Suggests: distributions3 (≥ 0.2.1)
Published: 2024-03-20
Author: Mikis Stasinopoulos ORCID iD [aut, cre, cph], Robert Rigby ORCID iD [aut], Vlasios Voudouris [ctb], Calliope Akantziliotou [ctb], Marco Enea [ctb], Daniil Kiose ORCID iD [ctb], Achim Zeileis ORCID iD [ctb]
Maintainer: Mikis Stasinopoulos <d.stasinopoulos at gre.ac.uk>
BugReports: https://github.com/gamlss-dev/gamlss/issues
License: GPL-2 | GPL-3
URL: https://www.gamlss.com/
NeedsCompilation: yes
Citation: gamlss citation info
Materials: README NEWS
In views: Econometrics, MixedModels
CRAN checks: gamlss results

Documentation:

Reference manual: gamlss.pdf

Downloads:

Package source: gamlss_5.4-22.tar.gz
Windows binaries: r-devel: gamlss_5.4-22.zip, r-release: gamlss_5.4-22.zip, r-oldrel: gamlss_5.4-22.zip
macOS binaries: r-release (arm64): gamlss_5.4-22.tgz, r-oldrel (arm64): gamlss_5.4-22.tgz, r-release (x86_64): gamlss_5.4-22.tgz, r-oldrel (x86_64): gamlss_5.4-22.tgz
Old sources: gamlss archive

Reverse dependencies:

Reverse depends: acid, binequality, BSagri, chicane, gamlss.add, gamlss.cens, gamlss.countKinf, gamlss.foreach, gamlss.ggplots, gamlss.inf, gamlss.lasso, gamlss.mx, gamlss.spatial, gamlss.tr, ImputeRobust, metamicrobiomeR, semsfa
Reverse imports: AGD, borealis, childsds, DEsingle, distreg.vis, fMRIscrub, gamlssbssn, mixpoissonreg, QFASA, RelDists, scDesign3, scRecover, sregsurvey, ugomquantreg, vasicekreg
Reverse suggests: bamlss, broom.mixed, depmixS4, ensemblepp, gamboostLSS, ggeffects, hnp, insight, marginaleffects, mlt.docreg, MNM, modelsummary, parameters, PerformanceAnalytics, qra, surveillance, tram
Reverse enhances: MuMIn, texreg

Linking:

Please use the canonical form https://CRAN.R-project.org/package=gamlss 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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