Package: gamlss
Description: 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: 5.4-1
Date: 2022-02-01
Authors@R: c(person("Mikis", "Stasinopoulos", role = c("aut", "cre", "cph"), 
             email = "d.stasinopoulos@londonmet.ac.uk"),
           person("Bob", "Rigby", role = c("aut")), 
           person("Vlasios", "Voudouris", role = "ctb",  
           email= "vlasios.voudouris@abm-analytics.com"),
           person("Calliope", "Akantziliotou", role = "ctb"),
           person("Marco", "Enea", role = "ctb"),
           person("Daniil", "Kiose", role = "ctb") 
           )
Title: Generalised Additive Models for Location Scale and Shape
Maintainer: Mikis Stasinopoulos <d.stasinopoulos@londonmet.ac.uk>
Depends: R (>= 3.3.0), graphics, stats, splines, utils, grDevices,
        gamlss.data (>= 5.0-0), gamlss.dist (>= 4.3.1), nlme, parallel
LazyLoad: yes
Imports: MASS, survival, methods
License: GPL-2 | GPL-3
URL: https://www.gamlss.com/
NeedsCompilation: yes
Packaged: 2022-02-01 20:03:37 UTC; dimitriosstasinopoulos
Author: Mikis Stasinopoulos [aut, cre, cph],
  Bob Rigby [aut],
  Vlasios Voudouris [ctb],
  Calliope Akantziliotou [ctb],
  Marco Enea [ctb],
  Daniil Kiose [ctb]
Repository: CRAN
Date/Publication: 2022-02-07 08:20:12 UTC
Built: R 4.0.5; x86_64-w64-mingw32; 2022-04-21 06:42:17 UTC; windows
Archs: i386, x64
