gamlss: coef.gamlss – R documentation

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coef.gamlss

Extract Model Coefficients in a GAMLSS fitted model

Description

coef.gamlss is the GAMLSS specific method for the generic function coef which extracts model coefficients from objects returned by modelling functions. ‘coefficients’ is an alias for coef.

Usage

## S3 method for class 'gamlss'
coef(object, what = c("mu", "sigma", "nu", "tau"), 
                      parameter = NULL, ... )
                      
coefAll(obj, deviance = FALSE, ...)

Arguments

`object, obj`	a GAMLSS fitted model
`what`	which parameter coefficient is required, default `what="mu"`
`parameter`	equivalent to `what` (more obvious name)
`deviance`	whether to print also the deviance.
`...`	for extra arguments

Value

Coefficients extracted from the GAMLSS model object.

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/).

Examples

data(aids)
h<-gamlss(y~poly(x,3)+qrt, family=NBI, data=aids) # 
coef(h)
coefAll(h)
rm(h)

gamlss

Generalised Additive Models for Location Scale and Shape

v5.3-4

GPL-2 | GPL-3

Authors

Mikis Stasinopoulos [aut, cre, cph], Bob Rigby [aut], Vlasios Voudouris [ctb], Calliope Akantziliotou [ctb], Marco Enea [ctb], Daniil Kiose [ctb]

Initial release

2021-03-31