gamlss.inf (version 1.0-2)

gen.Zadj: Functions to generate zero adjusted distributions from existing continuous gamlss.family distributions defined on positve real line.

Description

There are six functions here. Only the function gen.Zadj() should be used. The remaing four functions will be automatically created once gen.Zadj() has been run.

Usage

gen.Zadj(family = "GA", ...)
Zadj.d(family = "GA", ...)
Zadj.p(family = "GA", ...)
Zadj.q(family = "GA", ...)
Zadj.r(family = "GA", ...)
plotZadj(family = "GA", ...)

Value

The function gen.Zadj returns the d, p, q and r functions plus the plotting function.

Arguments

family

a continuous positive rael line distribution

...

for additional arguments

Author

Mikis Stasinopoulos , Bob Rigby and Marco Enea

Details

Functions Zadj.d, Zadj.p, Zadj.q and Zadj.r allow to create the density function, distribution function, quantile function and random generation, respectively. Function plotZadj can be used to create a plot for the distribution.

Alternatively, the function gen.Zadj creates the all the standard d,p,q,r functions plus the plotting function.

References

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. (2006) Instructions on how to use the GAMLSS package in R. Accompanying documentation in the current GAMLSS help files, (see also https://www.gamlss.com/).

Stasinopoulos D. M. Rigby R.A. (2007) Generalized additive models for location scale and shape (GAMLSS) in R. Journal of Statistical Software, Vol. 23, Issue 7, Dec 2007, https://www.jstatsoft.org/v23/i07.

Stasinopoulos D. M., Rigby R.A., Heller G., Voudouris V., and De Bastiani F., (2017) Flexible Regression and Smoothing: Using GAMLSS in R, Chapman and Hall/CRC. https://www.routledge.com/Flexible-Regression-and-Smoothing-Using-GAMLSS-in-R/Stasinopoulos-Rigby-Heller-Voudouris-Bastiani/p/book/9781138197909.

See Also

gamlssZadj, ~~~

Examples

# 1.
gen.Zadj("BCT")

plotBCTZadj()
plotBCTZadj(mu=3,sigma=0.35,xi0=0.5)

# 2.
gen.Family("SST", "log")
gen.Zadj("logSST") 
 plotlogSSTZadj()