as_array3

as_tbl2

Convert a 2-dimensional tabular object where each row stores a flattened
square matrix to a 3-dimensional array of square matrices and vice versa.
This allows multiple transition matrices to be stored as either tabular objects
(e.g., matrices, data frames, etc) or as arrays.

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 

as_array3 function

<dl><dt>x</dt>
<dd>For <code>as_array3()</code> a 2-dimensional tabular object where each row stores a flattened
square matrix ordered rowwise. Reasonable classes are <code>matrix</code>, <code>data.frame</code>,
<code>data.table</code>, and <code>tpmatrix</code>. For <code>as_tbl2()</code> a 3-dimensional array
where each slice is a square matrix.</dd>
<dt>output</dt>
<dd>The class of the object returned by the function. Either
a <code>data.table</code>, <code>data.frame</code>, <code>matrix</code>, or <code>tpmatrix</code>.</dd>
<dt>prefix, sep</dt>
<dd>Arguments passed to <code>tpmatrix_names()</code> for naming
the transition probability columns. The <code>states</code> argument is based on
the column names (i.e., names of the second dimension) of array;
if <code>NULL</code>, then states are named <code>s1</code>, ..., <code>sh</code> where h is
the number of states.</dd></dl>

Arguments

Convert between 2D tabular objects and 3D arrays — as_array3

<dl>

<dt>x</dt>
<dd>For <code>as_array3()</code> a 2-dimensional tabular object where each row stores a flattened
square matrix ordered rowwise. Reasonable classes are <code>matrix</code>, <code>data.frame</code>,
<code>data.table</code>, and <code>tpmatrix</code>. For <code>as_tbl2()</code> a 3-dimensional array
where each slice is a square matrix.</dd>


<dt>output</dt>
<dd>The class of the object returned by the function. Either
a <code>data.table</code>, <code>data.frame</code>, <code>matrix</code>, or <code>tpmatrix</code>.</dd>


<dt>prefix, sep</dt>
<dd>Arguments passed to <code>tpmatrix_names()</code> for naming
the transition probability columns. The <code>states</code> argument is based on
the column names (i.e., names of the second dimension) of array;
if <code>NULL</code>, then states are named <code>s1</code>, ..., <code>sh</code> where h is
the number of states.</dd>

</dl>

as_array3: Convert between 2D tabular objects and 3D arrays

Description

Usage

Value

Arguments

See Also

Examples