summary_nets

This function calls <code>summary</code> on each network being
simulated in <code>netsim</code>, provided <code>save.nwstats</code> and
<code>resimulate.network</code> are both <code>TRUE</code>. It records the
statistics represented by <code>nwstats.formula</code> in
<code>dat$stats$nwstats</code>, where <code>dat</code> is the main
<code>netsim_dat</code> class object.

internal

netUtils

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

summary_nets function

<dl><dt>dat</dt>
<dd>Main <code>netsim_dat</code> object containing a <code>networkDynamic</code>
object and other initialization information passed from
<code>netsim</code>.</dd>
<dt>at</dt>
<dd>Current time step.</dd></dl>

Arguments

Extract Summary Statistics of Networks Used in netsim — summary_nets

<dl>

<dt>dat</dt>
<dd>Main <code>netsim_dat</code> object containing a <code>networkDynamic</code>
object and other initialization information passed from
<code>netsim</code>.</dd>


<dt>at</dt>
<dd>Current time step.</dd>

</dl>

summary_nets: Extract Summary Statistics of Networks Used in netsim

Description

Usage

Value

Arguments