gamlss: Generalised 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: 5.4-20
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: 2023-10-04
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/mstasinopoulos/GAMLSS-original/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_5.4-20.tar.gz
Windows binaries: r-devel: gamlss_5.4-20.zip, r-release: gamlss_5.4-20.zip, r-oldrel: gamlss_5.4-20.zip
macOS binaries: r-release (arm64): gamlss_5.4-20.tgz, r-oldrel (arm64): gamlss_5.4-20.tgz, r-release (x86_64): gamlss_5.4-20.tgz
Old sources: gamlss archive

Reverse dependencies:

Reverse depends: acid, binequality, BSagri, chicane, gamlss.add, gamlss.cens, gamlss.countKinf, gamlss.foreach, gamlss.inf, gamlss.lasso, gamlss.mx, gamlss.spatial, gamlss.tr, ImputeRobust, metamicrobiomeR, semsfa, ZIBseq
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:

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