as.data.table.tparams_transprobs

A <a rd-options="" href="/link/tparams_transprobs?package=hesim&version=0.5.0" data-mini-rdoc="hesim::tparams_transprobs">tparams_transprobs</a> object.

Creates a <code>data.table</code> that combines the transition probability matrices
and ID columns from a <a rd-options="" href="/link/tparams_transprobs?package=hesim&version=0.5.0" data-mini-rdoc="hesim::tparams_transprobs">tparams_transprobs</a> object. This is often useful for
debugging.

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 

as.data.table.tparams_transprobs function

A <a rd-options='' href='tparams_transprobs'>tparams_transprobs</a> object.

Creates a <code>data.table</code> that combines the transition probability matrices
and ID columns from a <a rd-options='' href='tparams_transprobs'>tparams_transprobs</a> object. This is often useful for
debugging.

as.data.table.tparams_transprobs: Coerce to `data.table`

Description

Usage

Arguments

Value

See Also