The GAMLSS add on package for mixture distributions

Description

The main purpose of this package is to allow the user of the GAMLSS models to fit mixture distributions.

Details

This package has two main function the gamlssMX() which is loosely based on the package flexmix of R and the function gamlssNP() which is based on the npmlreg package of Jochen Einbeck, Ross Darnell and John Hinde (2006) which in turns is based on several GLIM4 macros originally written by Murray Aitkin and Brian Francis. It also contains the function gqz() which is written by Nick Sofroniou and the function gauss.quad() written by Gordon Smyth.

Author(s)

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

Maintainer: Mikis Stasinopoulos <d.stasinopoulos@londonmet.ac.uk>

References

Jochen Einbeck, Ross Darnell and John Hinde (2006) npmlreg: Nonparametric maximum likelihood estimation for random effect models, R package version 0.34

Rigby, R. A. and Stasinopoulos D. M. (2005). Generalized additive models for location, scale and shape,(with discussion), Appl. Statist., 54, part 3, pp 507-554.

Stasinopoulos D. M., Rigby R.A. and Akantziliotou C. (2003) Instructions on how to use the GAMLSS package in R. Accompanying documentation in the current GAMLSS help files, (see also http://www.gamlss.org/).

See Also

gamlss,gamlss.family

Examples

data(enzyme)
mmNO <- gamlssMX(enzyme$act~1, family=NO, K=2)
mmNO
## Not run: 
# also to make sure that it reaches the maximum
mmNOs <- gamlssMXfits(n=10,enzyme$act~1, family=NO, K=2)
fyNO<-dMX(y=seq(0,3,.01), mu=list(1.253, 0.1876), sigma=list(exp(-0.6665 ), exp(-2.573 )),
                  pi=list(0.4079609, 0.5920391 ), family=list("NO","NO") )
hist(enzyme$act,freq=FALSE,ylim=c(0,3.5),xlim=c(0,3),br=21)
lines(seq(0,3,.01),fyNO, col="red")
# equivalent model using gamlssNP
mmNP <- gamlssNP(act~1, data=enzyme, random=~1,sigma.fo=~MASS,family=NO, K=2)

## End(Not run)

Results