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"),
person("Calliope", "Akantziliotou", role = "ctb"),
person("Marco", "Enea", role = "ctb"),
person("Daniil", "Kiose", role = "ctb")
)

R (>= 2.4.0), gamlss, mgcv, nnet, gamlss.util
Mikis Stasinopoulos <d.stasinopoulos@londonmet.ac.uk>, Bob
Rigby <r.rigby@londonmet.ac.uk>

R (>= 2.4.0), gamlss, mgcv, nnet, gamlss.util, gamlss.nl

R (>= 2.4.0), gamlss, mgcv, nnet, gamlss.util, gamlss.nl,
lattice

R (>= 2.4.0), gamlss (>= 2.4.0), mgcv, nnet, gamlss.nl,
lattice

R (>= 2.15.0), gamlss (>= 2.4.0), mgcv, nnet, gamlss.nl,
lattice

Mikis Stasinopoulos <d.stasinopoulos@londonmet.ac.uk>, Bob Rigby <r.rigby@londonmet.ac.uk>

R (>= 2.15.0), gamlss.dist, gamlss (>= 2.4.0), mgcv, nnet,
rpart

Interfaces for extra smooth functions including tensor products, neural networks and decision trees.
R (>= 2.15.0), gamlss.dist, gamlss (>= 2.4.0), mgcv, nnet,
rpart, graphics, stats, utils, grDevices, methods

Interface for extra smooth functions including tensor products, neural networks and decision trees.
Mikis Stasinopoulos <mikis.stasinopoulos@gamlss.org>, Bob Rigby, Vlasios Voudouris, Daniil Kiose

Extra Additive Terms for Generalized Additive Models for
Location Scale and Shape
Mikis Stasinopoulos <d.stasinopoulos@londonmet.ac.uk>, Bob Rigby, Vlasios Voudouris, Daniil Kiose

Fitting interval response variabble using gamlss.family distributions
Mikis Stasinopoulos <d.stasinopoulos@londonmet.ac.uk>, Bob Rigby <r.rigby@londonmet.ac.uk>, Nicoleta Mortan
This is an add on package to GAMLSS. The purpose of this package is to allow users to fir censored data in
GAMLSS models. The main function gen.cens() generates censored version of an existing GAMLSS family distribution.

Fitting an interval response variable using gamlss.family distributions
This is an add on package to GAMLSS. The purpose of this package is to allow users to fit interval response variables in
GAMLSS models. The main function gen.cens() generates a censored version of an existing GAMLSS family distribution.