summary.tparams_transprobs

The <code><a href="/link/summary()?package=hesim&version=0.5.5" data-mini-rdoc="hesim::summary()">summary()</a></code> method summarizes a <code>tparams_transprobs</code> object containing
predicted transition probabilities; summary statistics are computed for each
possible transition by the relevant ID variables.

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 

summary.tparams_transprobs function

<dl><dt>object</dt>
<dd>A <code>tparams_transprobs</code> object.</dd>
<dt>probs</dt>
<dd>A numeric vector of probabilities with values in <code>[0,1]</code> used
to compute quantiles. Computing quantiles can be slow when <code>object</code> is large,
so the default is <code>NULL</code>, meaning that no quantiles are computed.</dd>
<dt>unflatten</dt>
<dd>If <code>FALSE</code>, then each column containing a summary statistic
is a vector and the generated table contains one row
(for each set of ID variables) for each possible transition; if
<code>TRUE</code>, then each column stores a list of <code>matrix</code> objects containing
transition probability matrices formed by "unflattening" the one-dimensional
vectors. See "Value" below for additional details.</dd>
<dt>...</dt>
<dd>Additional arguments affecting the summary. Currently unused.</dd></dl>

Arguments

The <code><a href='https://rdrr.io/r/base/summary.html'>summary()</a></code> method summarizes a <code>tparams_transprobs</code> object containing
predicted transition probabilities; summary statistics are computed for each
possible transition by the relevant ID variables.

Summarize tparams_transprobs object — summary.tparams_transprobs

<dl>

<dt>object</dt>
<dd>A <code>tparams_transprobs</code> object.</dd>


<dt>probs</dt>
<dd>A numeric vector of probabilities with values in <code>[0,1]</code> used
to compute quantiles. Computing quantiles can be slow when <code>object</code> is large,
so the default is <code>NULL</code>, meaning that no quantiles are computed.</dd>


<dt>unflatten</dt>
<dd>If <code>FALSE</code>, then each column containing a summary statistic
is a vector and the generated table contains one row
(for each set of ID variables) for each possible transition; if
<code>TRUE</code>, then each column stores a list of <code>matrix</code> objects containing
transition probability matrices formed by "unflattening" the one-dimensional
vectors. See "Value" below for additional details.</dd>


<dt>...</dt>
<dd>Additional arguments affecting the summary. Currently unused.</dd>

</dl>

summary.tparams_transprobs: Summarize `tparams_transprobs` object

Description

Usage

Value

Arguments

See Also