gen.Zadj | R Documentation |
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.
gen.Zadj(family = "GA", ...)
Zadj.d(family = "GA", ...)
Zadj.p(family = "GA", ...)
Zadj.q(family = "GA", ...)
Zadj.r(family = "GA", ...)
plotZadj(family = "GA", ...)
family |
a continuous positive rael line distribution |
... |
for additional arguments |
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.
The function gen.Zadj
returns the d
, p
, q
and r
functions plus the plotting function.
Mikis Stasinopoulos mikis.stasinopoulos@gamlss.org, Bob Rigby and Marco Enea
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.
gamlssZadj
, ~~~
# 1.
gen.Zadj("BCT")
plotBCTZadj()
plotBCTZadj(mu=3,sigma=0.35,xi0=0.5)
# 2.
gen.Family("SST", "log")
gen.Zadj("logSST")
plotlogSSTZadj()
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