Distributions for Generalized Additive Models for Location Scale and Shape

A set of distributions which can be used for modelling the response variables in Generalized Additive Models for Location Scale and Shape, Rigby and Stasinopoulos (2005), . The distributions can be continuous, discrete or mixed distributions. Extra distributions can be created, by transforming, any continuous distribution defined on the real line, to a distribution defined on ranges 0 to infinity or 0 to 1, by using a ''log'' or a ''logit' transformation respectively.


Reference manual

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5.1-1 by Mikis Stasinopoulos, 2 months ago


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

Authors: Mikis Stasinopoulos [aut, cre, cph] , Robert Rigby [aut] , Calliope Akantziliotou [ctb] , Vlasios Voudouris [ctb] , Gillian Heller [ctb] , Fernanda De Bastiani [ctb] , Raydonal Ospina [ctb] , Nicoletta Motpan [ctb] , Fiona McElduff [ctb] , Majid Djennad [ctb] , Marco Enea [ctb] , Alexios Ghalanos [ctb] , Christos Argyropoulos [ctb] , Almond Stocker [ctb] , Jens Lichter [ctb] , Stanislaus Stadlmann [ctb]

Documentation:   PDF Manual  

Task views: Probability Distributions

GPL-2 | GPL-3 license

Depends on MASS, graphics, stats, methods

Imported by AGD, GJRM, ImputeRobust, PReMiuM, Wrapped, ZIBseq, childsds, distreg.vis, list, powdist, rpql.

Depended on by SemiParSampleSel, acid, binequality, gamlss, gamlss.add, gamlss.cens, gamlss.countKinf, gamlss.demo, gamlss.mx, gamlss.spatial, gamlss.tr, gamlss.util, gamlssbssn.

Suggested by PerformanceAnalytics, betaboost, broom, depmixS4, fitdistrplus, gamboostLSS, hnp, mazeinda.

See at CRAN