gamlss (version 5.1-4)

edf: Effective degrees of freedom from gamlss model

Description

The functions edf() and edfAll() can be used to obtained the effective degrees of freedom for different additive terms for the distribution parameters in a gamlss model.

Usage

edf(obj, what = c("mu", "sigma", "nu", "tau"),
    parameter= NULL, print = TRUE, ...)
edfAll(obj, ...)

Arguments

obj

A gamlss fitted model

what

which of the four parameters mu, sigma, nu or tau.

parameter

equivalent to what

print

whether to print the label

…

for extra arguments

Value

The function edfAll() re turns a list of edf for all the fitted parameters. The function edf() a vector of edf.

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

Examples

# NOT RUN {
library(gamlss.data)
data(usair)
m1<- gamlss(y~pb(x1)+pb(x2)+pb(x6), data=usair)
edfAll(m1)
edf(m1)
# }