absorbing

absorbing.matrix

absorbing.tparams_transprobs

This is a generic function that returns a vector of absorbing states.

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 

absorbing function

<dl><dt>x</dt>
<dd>An object of the appropriate class. When <code>x</code> is a <code>matrix</code>,
it must be a transition matrix in the format from the
<code>mstate</code> package (see also <code>IndivCtstmTrans</code>).</dd></dl>

Arguments

Absorbing states — absorbing

<dl>

<dt>x</dt>
<dd>An object of the appropriate class. When <code>x</code> is a <code>matrix</code>,
it must be a transition matrix in the format from the
<code>mstate</code> package (see also <code>IndivCtstmTrans</code>).</dd>

</dl>

absorbing: Absorbing states

Description

Usage

Arguments