plot.dynPred

Produces a simple plot of the probability the subject survives given failure
times along with the 95% confidence interval if probabilities are generated from a simulation
scheme, and simply the first-order estimate otherwise.

internal

Fit joint models of survival and multivariate longitudinal data. The longitudinal
data is specified by generalised linear mixed models. The joint models are fit via maximum
likelihood using an approximate expectation maximisation algorithm.
Bernhardt (2015) <doi:10.1016/j.csda.2014.11.011>.

James Murray

gmvjoint

Joint Models of Survival and Multivariate Longitudinal Data

plot.dynPred function

<dl><dt>x</dt>
<dd>an object with class <code>dynPred</code>.</dd>
<dt>what</dt>
<dd>should the <code>"median"</code> (the default) or <code>"mean"</code> probability be displayed?
if first-order predictions are used, this is ignored.</dd>
<dt>...</dt>
<dd>additional arguments (none used).</dd></dl>

Arguments

James Murray (<a href="/link/j.murray7%40ncl.ac.uk?package=gmvjoint&version=0.4.0" data-mini-rdoc="gmvjoint::j.murray7@ncl.ac.uk">j.murray7@ncl.ac.uk</a>).

Author

Plot conditional survival probabilities. — plot.dynPred

<dl>

<dt>x</dt>
<dd>an object with class <code>dynPred</code>.</dd>


<dt>what</dt>
<dd>should the <code>"median"</code> (the default) or <code>"mean"</code> probability be displayed?
if first-order predictions are used, this is ignored.</dd>


<dt>...</dt>
<dd>additional arguments (none used).</dd>

</dl>

James Murray (<a href='mailto:j.murray7@ncl.ac.uk'>j.murray7@ncl.ac.uk</a>).

plot.dynPred: Plot conditional survival probabilities.

Description

Usage

Arguments

Author

See Also