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), . The models use a distributional regression approach where all the parameters of the conditional distribution of the response variable are modelled using explanatory variables.


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). The models use a distributional regression approach where all the parameters of the conditional distribution of the response variable are modelled using explanatory variables.

CRAN package: https://CRAN.R-project.org/package=gamlss
GitHub repository: https://github.com/gamlss-dev/gamlss/
Project website: https://www.gamlss.com/

Reference manual

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install.packages("gamlss")

5.5-0 by Mikis Stasinopoulos, a year ago


https://www.gamlss.com/


Report a bug at https://github.com/gamlss-dev/gamlss/issues


Browse source code at https://github.com/cran/gamlss


Authors: Mikis Stasinopoulos [aut, cre, cph] (ORCID: , Robert Rigby [aut] , Vlasios Voudouris [ctb] , Calliope Akantziliotou [ctb] , Marco Enea [ctb] , Daniil Kiose [ctb] , Achim Zeileis [ctb]


Documentation:   PDF Manual  


GPL-2 | GPL-3 license


Imports MASS, survival, methods

Depends on graphics, stats, splines, utils, grDevices, gamlss.data, gamlss.dist, nlme, parallel

Suggests distributions3


Imported by AGD, ComBatFamQC, DiscreteDists, JWileymisc, QFASA, QUALYPSO, RelDists, SEI, SelectBoost.beta, SelectBoost.gamlss, ZeroOneDists, bodycompref, childsds, circhelp, clis, dsBase, gamlssbssn, gamlssx, hytest, mixpoissonreg, normref, rregm, rrobot, shinyCLT, spatemR, sregsurvey, ugomquantreg, vasicekreg.

Depended on by BSagri, ImputeRobust, acid, binequality, chicane, gamlss.add, gamlss.cens, gamlss.inf, gamlss.lasso, gamlss.tr, semsfa.

Suggested by MNM, PerformanceAnalytics, bamlss, broom.mixed, depmixS4, ensemblepp, evbsreg, futurize, gamboostLSS, ggeffects, hnp, insight, marginaleffects, modelsummary, parameters, qra, surveillance, tram.

Enhanced by MuMIn, texreg.


See at CRAN