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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:5.5-0
Depends:R (≥ 4.1.0), 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:2025-08-19
DOI:10.32614/CRAN.package.gamlss
Author:Mikis StasinopoulosORCID iD [aut, cre, cph], Robert RigbyORCID iD [aut], Vlasios Voudouris [ctb], Calliope Akantziliotou [ctb], Marco Enea [ctb], Daniil KioseORCID iD [ctb], Achim ZeileisORCID 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.html ,gamlss.pdf

Downloads:

Package source: gamlss_5.5-0.tar.gz
Windows binaries: r-devel:gamlss_5.5-0.zip, r-release:gamlss_5.5-0.zip, r-oldrel:gamlss_5.5-0.zip
macOS binaries: r-release (arm64):gamlss_5.5-0.tgz, r-oldrel (arm64):gamlss_5.5-0.tgz, r-release (x86_64):gamlss_5.5-0.tgz, r-oldrel (x86_64):gamlss_5.5-0.tgz
Old sources: gamlss archive

Reverse dependencies:

Reverse depends:acid,binequality,BSagri,chicane,gamlss.add,gamlss.cens,gamlss.foreach,gamlss.inf,gamlss.lasso,gamlss.mx,gamlss.tr,ImputeRobust,metamicrobiomeR,semsfa
Reverse imports:AGD,bodycompref,borealis,childsds,circhelp,ComBatFamQC,DEsingle,DiscreteDists,dsBase,fMRIscrub,gamlssbssn,gamlssx,hytest,JWileymisc,mixpoissonreg,normref,OutSeekR,QFASA,RelDists,scDesign3,scLANE,scRecover,SEI,SelectBoost.beta,SelectBoost.gamlss,shinyCLT,spatemR,SPIChanges,sregsurvey,SVEMnet,ugomquantreg,vasicekreg
Reverse suggests:bamlss,broom.mixed,depmixS4,ensemblepp,gamboostLSS,ggeffects,hnp,insight,linkSet,marginaleffects,MNM,modelsummary,parameters,PerformanceAnalytics,qra,ramr,surveillance,tram
Reverse enhances:MuMIn,texreg

Linking:

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