make_formation_table

Calculate the Formation Statistics of a Network

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_formation_table function

<dl><dt>merged.stats</dt>
<dd>A matrix of <code>nsims * nsteps</code> rows, with a column for
each of the formation targets.</dd>
<dt>targets</dt>
<dd>A <code>data.frame</code> of the formation targets with two columns:
"names" and "targets".</dd></dl>

Arguments

Calculate the Formation Statistics of a Network — make_formation_table

<dl>

<dt>merged.stats</dt>
<dd>A matrix of <code>nsims * nsteps</code> rows, with a column for
each of the formation targets.</dd>


<dt>targets</dt>
<dd>A <code>data.frame</code> of the formation targets with two columns:
"names" and "targets".</dd>

</dl>

make_formation_table: Calculate the Formation Statistics of a Network

Description

Usage

Value

Arguments