| model.frame.gamlss | R Documentation | 
model.frame.gamlss, model.matrix.gamlss and terms.gamlss are the gamlss versions of the  generic functions
model.frame, model.matrix and terms respectively. 
## S3 method for class 'gamlss'
model.frame(formula, what = c("mu", "sigma", "nu", "tau"),
                     parameter= NULL, ...)
## S3 method for class 'gamlss'
terms(x, what = c("mu", "sigma", "nu", "tau"), 
                     parameter= NULL,  ...)
## S3 method for class 'gamlss'
model.matrix(object, what = c("mu", "sigma", "nu", "tau"), 
                      parameter= NULL, ...)
| formula | a gamlss object | 
| x | a gamlss object | 
| object | a gamlss object | 
| what | for which parameter to extract the model.frame, terms or model.frame | 
| parameter | equivalent to  | 
| ... | for extra arguments | 
a model.frame, a model.matrix or terms
Mikis Stasinopoulos
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/).
gamlss 
data(aids)
mod<-gamlss(y~poly(x,3)+qrt, family=PO, data=aids) # 
model.frame(mod)
model.matrix(mod)
terms(mod, "mu")
rm(mod)
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