R: The logLik method for coxme objects

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

`logLik`

[Package coxme version 2.2-7 Index]