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, ...)

Arguments

formula

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

Value

a model.frame, a model.matrix or terms

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

Run this code

# NOT RUN {
data(aids)
mod<-gamlss(y~poly(x,3)+qrt, family=PO, data=aids) # 
model.frame(mod)
model.matrix(mod)
terms(mod, "mu")
rm(mod)
# }