logLik.coxme {coxme} | R Documentation |

## The logLik method for coxme objects

### Description

logLik is most commonly used for a model fitted by maximum likelihood, and some uses, e.g. by AIC. This method allows generic functions to easily extract the log-likelhood of a coxme model.

### Usage

```
## S3 method for class 'coxme'
logLik(object, type = c("penalized", "integrated"), ...)
```

### Arguments

`object` |
a fitted coxme model |

`type` |
which of the two types of partial likelihood to extract |

`...` |
used by other methods |

### Details

The likelihood for a mixed effects Cox model can be viewed in two ways: the ordinarly partial likelihood, where the random effects act only as a penalty or constraint, or a partial likelihood where the random effect has been integrated out. Both are valid.

### Value

Returns an object of class logLik.

### See Also

[Package

*coxme*version 2.2-20 Index]