gamlss (version 5.4-12)

model.frame.gamlss: Extract a model.frame, a model matrix or terms from a GAMLSS object for a given distributional parameter

Description

model.frame.gamlss, model.matrix.gamlss and terms.gamlss are the gamlss versions of the generic functions model.frame, model.matrix and terms respectively.

Usage

# S3 method for gamlss
model.frame(formula, what = c("mu", "sigma", "nu", "tau"),
                     parameter= NULL, ...)
# S3 method for gamlss
terms(x, what = c("mu", "sigma", "nu", "tau"), 
                     parameter= NULL,  ...)
# S3 method for gamlss
model.matrix(object, what = c("mu", "sigma", "nu", "tau"), 
                      parameter= NULL, ...)

Value

a model.frame, a model.matrix or terms

Arguments

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 what

...

for extra arguments

Author

Mikis Stasinopoulos

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/).

See Also

gamlss

Examples

data(aids)
mod<-gamlss(y~poly(x,3)+qrt, family=PO, data=aids) # 
model.frame(mod)
model.matrix(mod)
terms(mod, "mu")
rm(mod)