logLik.msm

A fitted multi-state model object, as returned by
 <code><a rd-options="" href="/link/msm?package=msm&version=1.6.9" data-mini-rdoc="msm::msm">msm</a></code>.

object

Return vector of subject-specific log-likelihoods,
 which should sum to the total log-likelihood.

by.subject

(unused) further arguments passed to or from other methods.

Extract the log-likelihood and the number of parameters of a model
 fitted with <code>msm</code>.

models

Functions for fitting continuous-time Markov and hidden
Markov multi-state models to longitudinal data.  Designed for
processes observed at arbitrary times in continuous time (panel data)
but some other observation schemes are supported. Both Markov
transition rates and the hidden Markov output process can be modelled
in terms of covariates, which may be constant or piecewise-constant
in time.

Christopher Jackson

Multi-State Markov and Hidden Markov Models in Continuous Time

logLik.msm function

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

Arguments

C. H. Jackson <a href="/link/chris.jackson%40mrc-bsu.cam.ac.uk?package=msm&version=1.6.9" data-mini-rdoc="msm::chris.jackson@mrc-bsu.cam.ac.uk">chris.jackson@mrc-bsu.cam.ac.uk</a>

Author

Extract model log-likelihood — logLik.msm

<dl>

 <dt>object</dt>
<dd>A fitted multi-state model object, as returned by
 <code>msm</code>.</dd>

 <dt>by.subject</dt>
<dd>Return vector of subject-specific log-likelihoods,
 which should sum to the total log-likelihood.</dd>

 <dt>...</dt>
<dd>(unused) further arguments passed to or from other methods.</dd>

</dl>

C. H. Jackson <a href='mailto:chris.jackson@mrc-bsu.cam.ac.uk'>chris.jackson@mrc-bsu.cam.ac.uk</a>

logLik.msm: Extract model log-likelihood

Description

Usage

Value

Arguments

Author

See Also