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), <doi:10.1111/j.1467-9876.2005.00510.x>. 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.
| Version: | 5.1-7 |
| Depends: | R (≥ 2.15.0), MASS, graphics, stats, methods, grDevices |
| Published: | 2020-07-13 |
| Author: | 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] |
| Maintainer: | Mikis Stasinopoulos <d.stasinopoulos at londonmet.ac.uk> |
| License: | GPL-2 | GPL-3 |
| URL: | http://www.gamlss.org/ |
| NeedsCompilation: | yes |
| In views: | Distributions |
| CRAN checks: | gamlss.dist results |
| Reference manual: | gamlss.dist.pdf |
| Package source: | gamlss.dist_5.1-7.tar.gz |
| Windows binaries: | r-devel: gamlss.dist_5.1-7.zip, r-release: gamlss.dist_5.1-7.zip, r-oldrel: gamlss.dist_5.1-7.zip |
| macOS binaries: | r-release: gamlss.dist_5.1-7.tgz, r-oldrel: gamlss.dist_5.1-7.tgz |
| Old sources: | gamlss.dist archive |
| Reverse depends: | acid, binequality, gamlss, gamlss.add, gamlss.cens, gamlss.countKinf, gamlss.demo, gamlss.inf, gamlss.mx, gamlss.spatial, gamlss.tr, gamlss.util, gamlssbssn |
| Reverse imports: | AGD, asymmetry.measures, childsds, distreg.vis, GJRM, ImputeRobust, list, powdist, PReMiuM, QFASA, rpql, Wrapped, ZIBseq |
| Reverse suggests: | betaboost, broom, coveffectsplot, depmixS4, EstimationTools, fitdistrplus, gamboostLSS, hnp, mazeinda, PerformanceAnalytics |
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