| getSmo {gamlss} | R Documentation |
The function getSmo() extracts information from a fitted smoothing additive term.
getSmo(object, what = c("mu", "sigma", "nu", "tau"),
parameter= NULL, which = 1)
object |
a GAMLSS fitted model |
what |
which distribution parameter is required, default what="mu" |
parameter |
equivalent to |
which |
which smoothing term i.e. 1, 2 etc. Note that 0 means all. |
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]]
A list containing information about a fitted smoother or a fitted objects
Mikis Stasinopoulos and Bob Rigby
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/).
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