summary.tparams_mean

print.tparams_mean

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_mean</code> object containing
predicted means; summary statistics are computed for each
combination of the ID variables. The <code><a href="/link/print()?package=hesim&version=0.5.5" data-mini-rdoc="hesim::print()">print()</a></code> method
summarizes the object using <code>summary.tparams_mean()</code> and prints it to the
console.

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_mean function

<dl><dt>object, x</dt>
<dd>A <code>tparams_mean</code> object.</dd>
<dt>probs</dt>
<dd>A numeric vector of probabilities with values in <code>[0,1]</code> used
to compute quantiles. By default, the 2.5th and 97.5th percentiles are
computed.</dd>
<dt>...</dt>
<dd>Currently unused.</dd></dl>

Arguments

The <code><a href='https://rdrr.io/r/base/summary.html'>summary()</a></code> method summarizes a <code>tparams_mean</code> object containing
predicted means; summary statistics are computed for each
combination of the ID variables. The <code><a href='https://rdrr.io/r/base/print.html'>print()</a></code> method
summarizes the object using <code>summary.tparams_mean()</code> and prints it to the
console.

Summarize tparams_mean object — summary.tparams_mean

<dl>

<dt>object, x</dt>
<dd>A <code>tparams_mean</code> object.</dd>


<dt>probs</dt>
<dd>A numeric vector of probabilities with values in <code>[0,1]</code> used
to compute quantiles. By default, the 2.5th and 97.5th percentiles are
computed.</dd>


<dt>...</dt>
<dd>Currently unused.</dd>

</dl>

summary.tparams_mean: Summarize `tparams_mean` object

Description

Usage

Value

Arguments

See Also