R: Extract a model.frame, a model matrix or terms from a GAMLSS...

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 `what`
`...` | 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

`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)

[Package gamlss version 5.3-2 Index]