Learn R Programming

gamlss (version 5.1-4)

fittedPlot: Plots The Fitted Values of a GAMLSS Model

Description

This function, applicable only to a models with a single explanatory variable, plots the fitted values for all the parameters of a GAMLSS model against the (one) explanatory variable. It is also useful for comparing the fits for more than one model.

Usage

fittedPlot(object, ..., x = NULL, color = TRUE, line.type = FALSE, xlab = NULL)

Arguments

object

a fitted GAMLSS model object(with only one explanatory variable)

optionally more fitted GAMLSS model objects

x

The unique explanatory variable

color

whether the fitted lines plots are shown in colour, color=TRUE (the default) or not color=FALSE

line.type

whether the line type should be different or not. The default is color=FALSE

xlab

the x-label

Value

A plot of the fitted values against the explanatory variable

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. (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.

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.

(see also http://www.gamlss.org/).

See Also

gamlss, centiles, centiles.split

Examples

Run this code
# NOT RUN {
data(abdom)
h1<-gamlss(y~pb(x), sigma.formula=~x, family=BCT, data=abdom)
h2<-gamlss(y~pb(x), sigma.formula=~pb(x), family=BCT, data=abdom)
fittedPlot(h1,h2,x=abdom$x)
rm(h1,h2)
# }

Run the code above in your browser using DataLab