gamlss.inf: term.plotInf0to1 – R documentation

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term.plotInf0to1

Plot regression terms for a specified parameter of a fitted gamlssInf0to1 object

Description

This is a wrapper to function term.plot. term.plotInf0to1 produces term plots for a specified parameter from a gamlssinf0to1 object.

Usage

term.plotInf0to1(object, parameter = c("mu", "sigma", "nu", "tau", 
        "xi0", "xi1"),...)

Arguments

`object`	a gamlssinf0to1 fitted model
`parameter`	which distribution (or inflation) parameter is required, default `parameter="mu"`
`...`	extra arguments, the same of `term.plot` (except 'what')

Details

see function term.plot

Value

A plot of fitted terms.

Author(s)

Marco Enea, Mikis Stasinopoulos, Bob Rigby and Abu Hossain

References

Hossain, A., Stasinopoulos, M., Rigby, R. and Enea, M. (2015). Centile estimation for a proportion response variable. Statistics in Medicine, doi: 10.1002/sim.6748.

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/).

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, http://www.jstatsoft.org/v23/i07.

Examples

gen.Family("SST", "logit")
gen.Inf0to1("logitSST","Zero") 
set.seed(10)
Y <- rlogitSSTInf0(500,mu=0.5,sigma=0.7,nu=0.5,tau=5,xi0=0.5,log=FALSE)
dat <- data.frame(Y)
dat$x <- rnorm(500)
m1 <- gamlssInf0to1(y=Y,mu.formula=~x, sigma.formula=~x,
                    nu.formula=~x, tau.formula=~x,
                    xi0.formula=~x,data=dat, family=logitSST)

# term.plot for the mu parameter
term.plot(m1$dist,parameter="mu")
term.plotInf0to1(m1,parameter="mu",col.shaded = 2)

# term.plot for the binomial parameter
term.plot(m1$multinom,parameter="mu")
term.plotInf0to1(m1,parameter="xi0",col.shaded = 2)

gamlss.inf

Fitting Mixed (Inflated and Adjusted) Distributions

v1.0-1

GPL-2 | GPL-3

Authors

Marco Enea [aut, cre, cph], Mikis Stasinopoulos [aut], Bob Rigby [aut], Abu Hossain [aut]

Initial release

2019-03-12