R: Likelihood Ratio test for nested GAMLSS models

LR.test {gamlss} | R Documentation

## Likelihood Ratio test for nested GAMLSS models

### Description

The function performs a likelihood ration test for two nested fitted model.

### Usage

    LR.test(null, alternative, print = TRUE)

### Arguments

`null` | The null hypothesis (simpler) fitted model
`alternative` | The alternative hypothesis (more complex) fitted model
`print` | whether to print or save the result

### Details

Warning: no checking whether the models are nested is performed.

### Value

If `print=FALSE` a list with `chi`, `df` and `p.val` is produced.

### Author(s)

Mikis Stasinopoulos mikis.stasinopoulos@gamlss.org

### 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

`gamlss`, `dropterm`

### Examples

    data(usair)
    m0<-gamlss(y~x1+x2, data=usair)
    m1<-gamlss(y~x1+x2+x3+x4, data=usair)
    LR.test(m0,m1)

[Package gamlss version 5.0-2 Index]