Spatial Terms in Generalized Additive Models for Location Scale
and Shape Models
c(person("Fernanda", "De Bastiani", role = c("aut", "cre", "cph"), email = "fernandadebastiani@gmail.com"),
person("Mikis", "Stasinopoulos", role = c("aut"),
email = "mikis.stasinopoulos@gamlss.org"),
person("Bob", "Rigby", role = c("aut"))
)
It allows us to fit Gaussian Markov Random Field within the
Generalized Additive Models for Location Scale and Shape algorithms.
R (>= 2.15.0), gamlss.dist, gamlss (>= 4.2-7), gamlss.add,
spam, mgcv

c(person("Fernanda", "De Bastiani", role = c("aut", "cre", "cph"), email = "fernandadebastiani@gmail.com"),
person("Mikis", "Stasinopoulos", role = c("aut"),
email = "mikis.stasinopoulos@gamlss.org"),
person("Robert", "Rigby", role = c("aut"))
)
Fernanda De Bastiani [aut, cre, cph],
Mikis Stasinopoulos [aut],
Robert Rigby [aut]

It allows us to fit Markov Random Field (MRF) within the GAMLSS algorithms.

A GAMLSS add on package for generating and fitting truncated (gamlss.family) distributions
The main purpose of this package is to allow one user defined truncated distributions in
GAMLSS models. The main function gen.trun() generates truncated version of an existing GAMLSS family distribution.

Generating and fitting truncated (gamlss.family) distributions
This is an add on package to GAMLSS. The purpose of this package is to allow users to defined truncated distributions in
GAMLSS models. The main function gen.trun() generates truncated version of an existing GAMLSS family distribution.

This is an add on package to GAMLSS. The purpose of this package is to allow users to defined truncated distributions in  GAMLSS models. The main function gen.trun() generates truncated version of an existing GAMLSS family distribution.

This is an add on package to GAMLSS. The purpose of this
package is to allow users to defined truncated distributions in
GAMLSS models. The main function gen.trun() generates truncated
version of an existing GAMLSS family distribution.

Generating and Fitting Truncated `gamlss.family' Distributions
R (>= 2.2.1), gamlss.dist, gamlss (>= 4.2-7), methods