R: Extracting Smoother information from a GAMLSS fitted object
getSmo
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. and Akantziliotou C. (2006) Instructions on how to use the GAMLSS package in R.
Accompanying documentation in the current GAMLSS help files, (see also http://www.gamlss.org/).
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.
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