gamlss (version 5.4-12)

getSmo: 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)

Value

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

Arguments

object

a GAMLSS fitted model

what

which distribution parameter is required, default what="mu"

parameter

equivalent to what

which

which smoothing term i.e. 1, 2 etc. Note that 0 means all.

Author

Mikis Stasinopoulos and Bob Rigby

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]]

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.

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/).

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