CtstmTrans

<p>Contains methods that can be used to summarize both individual- and cohort-level
continuous time state transition models. That is, this class is relevant for
both Markov and semi-Markov multi-state models and does not depend on the
methodology used for prediction of state probabilities.</p>

internal

A modular and computationally efficient R package for
parameterizing, simulating, and analyzing health economic simulation
models. The package supports cohort discrete time state transition models
(Briggs et al. 1998) <doi:10.2165/00019053-199813040-00003>,
N-state partitioned survival models (Glasziou et al. 1990)
<doi:10.1002/sim.4780091106>, and individual-level continuous
time state transition models (Siebert et al. 2012) <doi:10.1016/j.jval.2012.06.014>,
encompassing both Markov (time-homogeneous and time-inhomogeneous) and
semi-Markov processes. Decision uncertainty from a cost-effectiveness analysis is
quantified with standard graphical and tabular summaries of a probabilistic
sensitivity analysis (Claxton et al. 2005, Barton et al. 2008) <doi:10.1002/hec.985>,
<doi:10.1111/j.1524-4733.2008.00358.x>. Use of C++ and data.table
make individual-patient simulation, probabilistic sensitivity analysis,
and incorporation of patient heterogeneity fast.

Devin Incerti

hesim

Health Economic Simulation Modeling and Decision Analysis

Jeroen P. Jansen

Mark Clements

R Core Team 

CtstmTrans function

<p>An <code><a href="https://r6.r-lib.org/reference/R6Class.html">R6::R6Class</a></code> object.</p>

Format


<div class="section" id="public-methods">
<h3>Public methods</h3><p></p><p><ul>
<li><p><a href="/link/CtstmTrans%24hazard()?package=hesim&version=0.5.5" data-mini-rdoc="hesim::CtstmTrans$hazard()"><code>CtstmTrans$hazard()</code></a></p></li>
<li><p><a href="/link/CtstmTrans%24cumhazard()?package=hesim&version=0.5.5" data-mini-rdoc="hesim::CtstmTrans$cumhazard()"><code>CtstmTrans$cumhazard()</code></a></p></li>
<li><p><a href="/link/CtstmTrans%24clone()?package=hesim&version=0.5.5" data-mini-rdoc="hesim::CtstmTrans$clone()"><code>CtstmTrans$clone()</code></a></p></li>
</ul></p><p></p></div><p><hr>
<a id="method-CtstmTrans-hazard"></a></p><div class="section" id="method-hazard-">
<h3>Method <code>hazard()</code></h3>
<p>Predict the hazard functions for each health state transition.</p><div class="section" id="usage">
<h4>Usage</h4>
<p><div class="r"></div></p><pre><code>CtstmTrans$hazard(t)</code></pre><p></p></div><p></p>
</div><p></p><p><div class="section" id="arguments">
<h4>Arguments</h4>
<p><div class="arguments"></div></p><dl>
<dt><code>t</code></dt>
<dd><p>A numeric vector of times.</p></dd></dl></div></p><p>
</p><p></p>

<div class="section" id="returns">
<h4>Returns</h4>
<p>A <code>data.table</code> with columns <code>transition_id</code>,
<code>sample</code>, <code>strategy_id</code>, <code>grp_id</code>, <code>t</code>, and <code>hazard</code>.</p>
</div><p></p><p></p><p><hr>
<a id="method-CtstmTrans-cumhazard"></a></p><div class="section" id="method-cumhazard-">
<h3>Method <code>cumhazard()</code></h3>
<p>Predict the cumulative hazard functions for each health state transition.</p><div class="section" id="usage">
<h4>Usage</h4>
<p><div class="r"></div></p><pre><code>CtstmTrans$cumhazard(t)</code></pre><p></p></div><p></p>
</div><p></p><p><div class="section" id="arguments">
<h4>Arguments</h4>
<p><div class="arguments"></div></p><dl>
<dt><code>t</code></dt>
<dd><p>A numeric vector of times.</p></dd></dl></div></p><p>
</p><p></p>

<div class="section" id="returns">
<h4>Returns</h4>
<p>A <code>data.table</code> with columns <code>transition_id</code>,
<code>sample</code>, <code>strategy_id</code>, <code>grp_id</code>, <code>t</code>, and <code>cumhazard</code>.</p>
</div><p></p><p></p><p><hr>
<a id="method-CtstmTrans-clone"></a></p><div class="section" id="method-clone-">
<h3>Method <code>clone()</code></h3>
<p>The objects of this class are cloneable with this method.</p><div class="section" id="usage">
<h4>Usage</h4>
<p><div class="r"></div></p><pre><code>CtstmTrans$clone(deep = FALSE)</code></pre><p></p></div><p></p>
</div><p></p><p><div class="section" id="arguments">
<h4>Arguments</h4>
<p><div class="arguments"></div></p><dl>
<dt><code>deep</code></dt>
<dd><p>Whether to make a deep clone.</p></dd></dl></div></p><p>
</p><p></p>
<p></p><p>
</p>

Methods

An R6 base class for continuous time state transition models — CtstmTrans

<p>An <code><a href='https://r6.r-lib.org/reference/R6Class.html'>R6::R6Class</a></code> object.</p>


<div class='section' id='public-methods'>
<h3>Public methods</h3>

<ul>
<li><p><a href='#method-CtstmTrans-hazard'><code>CtstmTrans$hazard()</code></a></p></li>
<li><p><a href='#method-CtstmTrans-cumhazard'><code>CtstmTrans$cumhazard()</code></a></p></li>
<li><p><a href='#method-CtstmTrans-clone'><code>CtstmTrans$clone()</code></a></p></li>
</ul>

</div><p><hr>
<a id="method-CtstmTrans-hazard"></a></p><div class='section' id='method-hazard-'>
<h3>Method <code>hazard()</code></h3>
<p>Predict the hazard functions for each health state transition.</p><div class='section' id='usage'>
<h4>Usage</h4>
<p><div class="r"></p><pre><code>CtstmTrans$hazard(t)</code></pre><p></div></p>
</div>

<div class='section' id='arguments'>
<h4>Arguments</h4>
<p><div class="arguments"></p><dl>
<dt><code>t</code></dt>
<dd><p>A numeric vector of times.</p></dd>


</dl><p></div></p>
</div>
<div class='section' id='returns'>
<h4>Returns</h4>
<p>A <code>data.table</code> with columns <code>transition_id</code>,
<code>sample</code>, <code>strategy_id</code>, <code>grp_id</code>, <code>t</code>, and <code>hazard</code>.</p>
</div>

</div><p><hr>
<a id="method-CtstmTrans-cumhazard"></a></p><div class='section' id='method-cumhazard-'>
<h3>Method <code>cumhazard()</code></h3>
<p>Predict the cumulative hazard functions for each health state transition.</p><div class='section' id='usage'>
<h4>Usage</h4>
<p><div class="r"></p><pre><code>CtstmTrans$cumhazard(t)</code></pre><p></div></p>
</div>

<div class='section' id='arguments'>
<h4>Arguments</h4>
<p><div class="arguments"></p><dl>
<dt><code>t</code></dt>
<dd><p>A numeric vector of times.</p></dd>


</dl><p></div></p>
</div>
<div class='section' id='returns'>
<h4>Returns</h4>
<p>A <code>data.table</code> with columns <code>transition_id</code>,
<code>sample</code>, <code>strategy_id</code>, <code>grp_id</code>, <code>t</code>, and <code>cumhazard</code>.</p>
</div>

</div><p><hr>
<a id="method-CtstmTrans-clone"></a></p><div class='section' id='method-clone-'>
<h3>Method <code>clone()</code></h3>
<p>The objects of this class are cloneable with this method.</p><div class='section' id='usage'>
<h4>Usage</h4>
<p><div class="r"></p><pre><code>CtstmTrans$clone(deep = FALSE)</code></pre><p></div></p>
</div>

<div class='section' id='arguments'>
<h4>Arguments</h4>
<p><div class="arguments"></p><dl>
<dt><code>deep</code></dt>
<dd><p>Whether to make a deep clone.</p></dd>


</dl><p></div></p>
</div>

</div>


CtstmTrans: An `R6` base class for continuous time state transition models

Description

Arguments

Format

Methods

Public methods

Method `hazard()`

Usage

Arguments

Returns

Method `cumhazard()`

Usage

Arguments

Returns

Method `clone()`

Usage

Arguments

See Also

Description

Arguments

Format

Methods

Public methods

Method hazard()

Usage

Arguments

Returns

Method cumhazard()

Usage

Arguments

Returns

Method clone()

Usage

Arguments

See Also

Method `hazard()`

Method `cumhazard()`

Method `clone()`