fittedPlot | R Documentation |
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.
fittedPlot(object, ..., x = NULL, color = TRUE, line.type = FALSE, xlab = NULL)
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, |
line.type |
whether the line type should be different or not. The default is |
xlab |
the x-label |
A plot of the fitted values against the explanatory variable
Mikis Stasinopoulos, Bob Rigby and Calliope Akantziliotou
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.
Rigby, R. A., Stasinopoulos, D. M., Heller, G. Z., and De Bastiani, F. (2019) Distributions for modeling location, scale, and shape: Using GAMLSS in R, Chapman and Hall/CRC. An older version can be found in 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.
(see also https://www.gamlss.com/).
gamlss
, centiles
, centiles.split
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)
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