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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 |
DOI: | 10.32614/CRAN.package.gamlss |
Author: | Mikis Stasinopoulos [aut, cre, cph], Robert Rigby [aut], Vlasios Voudouris [ctb], Calliope Akantziliotou [ctb], Marco Enea [ctb], Daniil Kiose [ctb], Achim Zeileis [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 |
Reference manual: | gamlss.pdf |
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 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, bodycompref, borealis, childsds, circhelp, DEsingle, DiscreteDists, distreg.vis, fMRIscrub, gamlssbssn, gamlssx, hytest, mixpoissonreg, OutSeekR, pbox, QFASA, RelDists, scDesign3, scRecover, SEI, sregsurvey, SVEMnet, ugomquantreg, vasicekreg |
Reverse suggests: | bamlss, broom.mixed, depmixS4, ensemblepp, gamboostLSS, ggeffects, hnp, insight, marginaleffects, MNM, modelsummary, parameters, PerformanceAnalytics, qra, surveillance, tram |
Reverse enhances: | MuMIn, texreg |
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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.