R: A function to generate the likelihood function from a GAMLSS...

gen.likelihood {gamlss} | R Documentation

## A function to generate the likelihood function from a GAMLSS object

### Description

This function generate a function with argument the parameters of the GAMLSS model which can evaluate the log-likelihood function.

### Usage

    gen.likelihood(object)

### Arguments

`object` | A gamlss fitted model

### Details

The purpose of this function is to help the function vcov() to get he right Hessian matrix after a model has fitted. Note that at the momment smoothing terms are consideted as fixed.

### Value

A function of the log-likelihood

### Author(s)

Mikis Stasinopoulos mikis.stasinopoulos@gamlss.org Bob Rigby and Vlasios Voudouris

### 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.

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, http://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 http://www.gamlss.org/).

### See Also

`vcov`

### Examples

    data(aids)
    m1 <- gamlss(y~x+qrt, data=aids, family=NBI)
    logL<-gen.likelihood(m1)
    logL()
    logLik(m1)

[Package gamlss version 5.0-2 Index]