tidy.msm.prevalence

Note this should be called as <code>tidy()</code> not <code>tidy.msm.prevalence()</code> or anything else, as this is 
a method for the generic <code>tidy()</code> function.

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

tidy.msm.prevalence function

<dl><dt>x</dt>
<dd>Output of <code>prevalence.msm</code>.</dd>
<dt>...</dt>
<dd>Further arguments (unused).</dd></dl>

Arguments

Tidy the output of prevalence.msm — tidy.msm.prevalence

<dl>

<dt>x</dt>
<dd>Output of <code>prevalence.msm</code>.</dd>


<dt>...</dt>
<dd>Further arguments (unused).</dd>

</dl>

tidy.msm.prevalence: Tidy the output of prevalence.msm

Description

Usage

Value

Arguments