R: Effective degrees of freedom from gamlss model

edf {gamlss} | R Documentation

## 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.

### Note

The edf given are the ones fitted in the backfitting so the usually contained (depending on the additive term) the contatnt and the linear part.

### Author(s)

Mikis Stasinopoulos mikis.stasinopoulos@gamlss.org

### 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

    library(gamlss.data)
    data(usair)
    m1<- gamlss(y~pb(x1)+pb(x2)+pb(x6), data=usair)
    edfAll(m1)
    edf(m1)

[Package gamlss version 5.0-2 Index]