make_stats_table

Create a Summary Table of Simulation Statistics

internal

Tools for simulating mathematical models of infectious disease dynamics.
Epidemic model classes include deterministic compartmental models, stochastic
individual-contact models, and stochastic network models. Network models use the
robust statistical methods of exponential-family random graph models (ERGMs)
from the Statnet suite of software packages in R. Standard templates for epidemic
modeling include SI, SIR, and SIS disease types. EpiModel features an API for
extending these templates to address novel scientific research aims. Full
methods for EpiModel are detailed in Jenness et al. (2018, <doi:10.18637/jss.v084.i08>).

Samuel Jenness

EpiModel

Mathematical Modeling of Infectious Disease Dynamics

Steven M. Goodreau

Martina Morris

Adrien Le Guillou

Chad Klumb

Skye Bender-deMoll

make_stats_table function

<dl><dt>stats</dt>
<dd>A list of simulated statistics matrices, of length equal to the
number of simulations performed. Each matrix should have one row for each
simulated network if <code>dynamic == FALSE</code>, one row for each time step
if <code>dynamic == TRUE</code>, and one column for each statistic. The columns
should be named for the statistics they correspond to, with all matrices
having the same statistics, in the same order. Each matrix may have an
<code>attr</code>-style attribute named <code>"ess"</code> attached, giving the
effective sample sizes for the columns of the matrix; if this attribute is
<code>NULL</code>, then the effective sample sizes will be computed within the
call to <code>make_stats_table</code>.</dd>
<dt>targets</dt>
<dd>A vector of target values for the statistics in <code>stats</code>.
May be named (in which case targets will be matched to statistics based on
column names in matrices in <code>stats</code>) or unnamed (in which case
targets will be matched to statistics based on position, and the number of
targets must equal the number of columns).</dd></dl>

Arguments

Create a Summary Table of Simulation Statistics — make_stats_table

<dl>

<dt>stats</dt>
<dd>A list of simulated statistics matrices, of length equal to the
number of simulations performed. Each matrix should have one row for each
simulated network if <code>dynamic == FALSE</code>, one row for each time step
if <code>dynamic == TRUE</code>, and one column for each statistic. The columns
should be named for the statistics they correspond to, with all matrices
having the same statistics, in the same order. Each matrix may have an
<code>attr</code>-style attribute named <code>"ess"</code> attached, giving the
effective sample sizes for the columns of the matrix; if this attribute is
<code>NULL</code>, then the effective sample sizes will be computed within the
call to <code>make_stats_table</code>.</dd>


<dt>targets</dt>
<dd>A vector of target values for the statistics in <code>stats</code>.
May be named (in which case targets will be matched to statistics based on
column names in matrices in <code>stats</code>) or unnamed (in which case
targets will be matched to statistics based on position, and the number of
targets must equal the number of columns).</dd>

</dl>

make_stats_table: Create a Summary Table of Simulation Statistics

Description

Usage

Value

Arguments