`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`

.

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

Coefficients extracted from the GAMLSS model object.

- 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

Mikis Stasinopoulos d.stasinopoulos@londonmet.ac.uk

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/).

`gamlss`

, `deviance.gamlss`

, `fitted.gamlss`

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

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