formula.gamlss: Extract the Model Formula in a GAMLSS fitted model

Description Usage Arguments Value Author(s) References See Also Examples

Description

formula.gamlss is the GAMLSS specific method for the generic function formula which extracts the model formula from objects returned by modelling functions.

Usage

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## S3 method for class 'gamlss'
formula(x, what = c("mu", "sigma", "nu", "tau"), 
                parameter= NULL, ... )

Arguments

x

a GAMLSS fitted model

what

which parameter coefficient is required, default what="mu"

parameter

equivalent to what

...

for extra arguments

Value

Returns a model formula

Author(s)

Mikis Stasinopoulos d.stasinopoulos@londonmet.ac.uk

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, deviance.gamlss, fitted.gamlss

Examples

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data(aids)
h<-gamlss(y~poly(x,3)+qrt, family=PO, data=aids) # 
formula(h,"mu")
rm(h)

Example output

Loading required package: splines
Loading required package: gamlss.data
Loading required package: gamlss.dist
Loading required package: MASS
Loading required package: nlme
Loading required package: parallel
 **********   GAMLSS Version 5.0-2  ********** 
For more on GAMLSS look at http://www.gamlss.org/
Type gamlssNews() to see new features/changes/bug fixes.

GAMLSS-RS iteration 1: Global Deviance = 416.8014 
GAMLSS-RS iteration 2: Global Deviance = 416.8014 
y ~ poly(x, 3) + qrt

gamlss documentation built on March 31, 2021, 5:10 p.m.