model.frame.gamlss {gamlss} | R Documentation |
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 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, ...)
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 |
... |
for extra arguments |
Value
a model.frame, a model.matrix or terms
Author(s)
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
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)