coef.gamlss: Extract Model Coefficients in a GAMLSS fitted model

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

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

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## 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/).

See Also

gamlss, deviance.gamlss, fitted.gamlss

Examples

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

Example output

Loading required package: splines
Loading required package: gamlss.data

Attaching package:gamlss.dataThe following object is masked frompackage:datasets:

    sleep

Loading required package: gamlss.dist
Loading required package: MASS
Loading required package: nlme
Loading required package: parallel
 **********   GAMLSS Version 5.2-0  ********** 
For more on GAMLSS look at https://www.gamlss.com/
Type gamlssNews() to see new features/changes/bug fixes.

GAMLSS-RS iteration 1: Global Deviance = 383.4541 
GAMLSS-RS iteration 2: Global Deviance = 381.7155 
GAMLSS-RS iteration 3: Global Deviance = 381.7145 
GAMLSS-RS iteration 4: Global Deviance = 381.7145 
(Intercept) poly(x, 3)1 poly(x, 3)2 poly(x, 3)3        qrt2        qrt3 
 4.80765788  8.30268979 -3.38783386  0.96224602 -0.16152166  0.03090039 
       qrt4 
-0.12087330 
$mu
(Intercept) poly(x, 3)1 poly(x, 3)2 poly(x, 3)3        qrt2        qrt3 
 4.80765788  8.30268979 -3.38783386  0.96224602 -0.16152166  0.03090039 
       qrt4 
-0.12087330 

$sigma
(Intercept) 
  -4.644633 

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