## S3 method for class 'coxph':
logLik(object, ...)
## S3 method for class 'survreg':
logLik(object, ...)coxph or survreg fitlogLikAIC.
For a Cox model, this method returns the partial likelihood.
The number of degrees of freedom (df) used by the fit and the effective
number of observations (nobs) are added as attributes.
Per Raftery and others, the effective number of observations is the
taken to be the number of events in the data set. For a survreg model the proper value for the effective number
of observations is still an open question (at least to this author).
For right censored data the approach of logLik.coxph is the
possible the most sensible, but for interval censored observations
the result is unclear. The code currently does not add a nobs
attribute.
Raftery A.E. (1995), "Bayesian Model Selection in Social Research", Sociological methodology, 111-196.
logLik