R: Extracting Smoother information from a GAMLSS fitted object

getSmo {gamlss} | R Documentation

## Extracting Smoother information from a GAMLSS fitted object

### Description

The function `getSmo()` extracts information from a fitted smoothing additive term.

### Usage

    getSmo(object, what = c("mu", "sigma", "nu", "tau"),
           parameter= NULL, which = 1)

### Arguments

`object` | a GAMLSS fitted model
`what` | which distribution parameter is required, default what="mu"
`parameter` | equivalent to `what`
`which` | which smoothing term

### Details

This function facilitates the extraction of information from a fitted additive terms. For example `getSmo(m1,"sigma",2)` is equivalent of `m1$sigma.coefSmo[[2]]`. To get the actual fitted values type `m1$sigma.s[[2]]`

### Value

A list containing information about a fitted smoother or a fitted objects

### Author(s)

Mikis Stasinopoulos and Bob Rigby

### 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/).

### Examples

    data(usair)
    t1<-gamlss(y~x1+pb(x5)+pb(x6), data=usair, family=GA)
    # get the value for lambda for the second fitted term in mu
    getSmo(t1, parameter="mu", 2)$lambda

[Package gamlss version 5.0-2 Index]