Fitting an interval response variable 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 fit interval response variables in
GAMLSS models. The main function gen.cens() generates a
censored version of an existing GAMLSS family distribution.

R (>= 2.2.1), gamlss, gamlss.dist, survival

Fitting an Interval Response Variable Using gamlss.family
Distributions
R (>= 2.2.1), gamlss.dist, gamlss, survival
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.

Fitting an Interval Response Variable Using `gamlss.family'
Distributions
R (>= 2.2.1), gamlss.dist, gamlss, survival, methods

Mikis Stasinopoulos <d.stasinopoulos@londonmet.ac.uk>, Bob
Rigby, Nicoleta Mortan

Generating and Fitting K-Inflated 'discrete gamlss.family'
Distributions
Saeed Mohammadpour <\email{s.mohammadpour1111@gamlil.com}>, Mikis Stasinopoulos <\email{d.stasinopoulos@londonmet.ac.uk}>
R (>= 2.2.1), gamlss.dist, gamlss (>= 5.0-0), stats
This is an add on package to 'GAMLSS'. The main purpose of this package is generating and fitting inflated distributions at any desired point (0, 1, 2, ...). The function gen.Kinf() generates K-inflated version of an existing discrete 'GAMLSS' family distribution.

Mikis Stasinopoulos <mikis.stasinopoulos@gamlss.org>, Bob
Rigby

Data used as examples to demonstrate GAMLSS models.
Mikis Stasinopoulos <d.stasinopoulos@londonmet.ac.uk>, Bob
Rigby, Fernanda De Bastiani

Data used as examples in the current two books on Generalised Additive Models for Location Scale and Shape introduced by Rigby and Stasinopoulos (2005), <doi:10.1111/j.1467-9876.2005.00510.x>.
Data for Generalised Additive Models for Location Scale and
Shape

R (>= 2.4.0), rpanel, gamlss, gamlss.tr, gamlss.util
Mikis Stasinopoulos <d.stasinopoulos@londonmet.ac.uk>, Bob
Rigby <r.rigby@londonmet.ac.uk>, Paul Eilers
<p.eilers@erasmusmc.nl>, Brian Marx \email{bmarx@LSU.EDU} with
contributions from Larisa Kosidou.