logLik.msm: Extract model log-likelihood

In chjackson/msm: Multi-State Markov and Hidden Markov Models in Continuous Time

Extract model log-likelihood

Description

Extract the log-likelihood and the number of parameters of a model fitted with msm.

Usage

## S3 method for class 'msm'
logLik(object, by.subject = FALSE, ...)

Arguments

object	A fitted multi-state model object, as returned by msm.
by.subject	Return vector of subject-specific log-likelihoods, which should sum to the total log-likelihood.
...	(unused) further arguments passed to or from other methods.

Value

The log-likelihood of the model represented by 'object' evaluated at the maximum likelihood estimates.

Akaike's information criterion can also be computed using AIC(object).

Author(s)

C. H. Jackson [e-mail]

See Also

msm,lrtest.msm.

chjackson/msm documentation built on March 3, 2024, 1:05 a.m.