Likelihood ratio test between two or more fitted multi-state models

## Arguments

- ...
Two or more fitted multi-state models, as returned by

`msm`

, ordered by increasing numbers of parameters.

## Value

A matrix with three columns, giving the likelihood ratio statistic, difference in degrees of freedom and the chi-squared p-value for a comparison of the first model supplied with each subsequent model.

## Warning

The comparison between models will only be valid if they are fitted to the same dataset. This may be a problem if there are missing values and R's default of 'na.action = na.omit' is used.

The likelihood ratio statistic only has the indicated chi-squared
distribution if the models are nested. An alternative for comparing
non-nested models is Akaike's information criterion. This can be computed
for one or more fitted `msm`

models `x,y,...`

using
`AIC(x,y,...)`

.