CtstmTrans

<p>A non-exported base class for continuous time state transition models containing methods
that can be used to summarize fitted multi-state models.</p>

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

R Core Team 

CtstmTrans function

<p>An <a rd-options="R6:R6Class" href="/link/R6%3A%3AR6Class?package=hesim&version=0.3.1&to=R6%3AR6Class" data-mini-rdoc="R6:R6Class::R6::R6Class">R6::R6Class</a> object.</p>

Format

<h3>Public methods</h3><p></p><p><ul>
<li><p><a href="/link/CtstmTrans%24hazard()?package=hesim&version=0.3.1" data-mini-rdoc="hesim::CtstmTrans$hazard()"><code>CtstmTrans$hazard()</code></a></p></li>
<li><p><a href="/link/CtstmTrans%24cumhazard()?package=hesim&version=0.3.1" data-mini-rdoc="hesim::CtstmTrans$cumhazard()"><code>CtstmTrans$cumhazard()</code></a></p></li>
<li><p><a href="/link/CtstmTrans%24clone()?package=hesim&version=0.3.1" data-mini-rdoc="hesim::CtstmTrans$clone()"><code>CtstmTrans$clone()</code></a></p></li>
</ul>
</p><p></p><h3>Method <code>hazard()</code></h3><p></p><p>Predict the hazard functions for each health state transition.
</p><h3>Usage</h3><p></p><p><pre>CtstmTrans$hazard(t)</pre></p><p></p><h3>Arguments</h3><p></p><p><dl class="dl-horizontal">
<dt><code>t</code></dt><dd><p>A numeric vector of times.</p></dd>
</dl></p><p></p><h3>Returns</h3><p></p><p>A <code>data.table</code> with columns <code>trans</code> (the transition number),
<code>sample</code>, <code>strategy_id</code>, <code>grp_id</code>, <code>t</code>, and <code>hazard</code>.</p><p></p><p></p><h3>Method <code>cumhazard()</code></h3><p></p><p>Predict the cumulative hazard functions for each health state transition.
</p><h3>Usage</h3><p></p><p><pre>CtstmTrans$cumhazard(t)</pre></p><p></p><h3>Arguments</h3><p></p><p><dl class="dl-horizontal">
<dt><code>t</code></dt><dd><p>A numeric vector of times.</p></dd>
</dl></p><p></p><h3>Returns</h3><p></p><p>A <code>data.table</code> with columns <code>trans</code>,
<code>sample</code>, <code>strategy_id</code>, <code>grp_id</code>, <code>t</code>, and <code>hazard</code>.</p><p></p><p></p><h3>Method <code>clone()</code></h3><p></p><p>The objects of this class are cloneable with this method.
</p><h3>Usage</h3><p></p><p><pre>CtstmTrans$clone(deep = FALSE)</pre></p><p></p><h3>Arguments</h3><p></p><p><dl class="dl-horizontal">
<dt><code>deep</code></dt><dd><p>Whether to make a deep clone.</p></dd>
</dl></p>

Methods

An <code>R6</code> base class for continuous time state transition models — CtstmTrans

<p>An <a rd-options='R6:R6Class' href='R6::R6Class'>R6::R6Class</a> object.</p>

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()`