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 Stasinopoulos
     | 
| 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 | 
| Reference manual: | gamlss.html , gamlss.pdf | 
| 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 depends: | acid, binequality, BSagri, chicane, gamlss.add, gamlss.cens, gamlss.foreach, gamlss.ggplots, gamlss.inf, gamlss.lasso, gamlss.mx, gamlss.tr, ImputeRobust, metamicrobiomeR, semsfa | 
| Reverse imports: | AGD, bodycompref, borealis, childsds, circhelp, ComBatFamQC, DEsingle, DiscreteDists, distreg.vis, dsBase, fMRIscrub, gamlssbssn, gamlssx, hytest, JWileymisc, mixpoissonreg, normref, OutSeekR, pbox, QFASA, RelDists, scDesign3, scLANE, scRecover, SEI, 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 | 
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