getSmo: Extracting Smoother information from a GAMLSS fitted object

In mstasinopoulos/GAMLSS-original: Generalized Additive Models for Location Scale and Shape

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

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.

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
  

mstasinopoulos/GAMLSS-original documentation built on March 27, 2024, 7:11 a.m.