sim_nets_t1

This function simulates a dynamic network over one or multiple
 time steps for TERGMs or one or multiple cross-sectional network
 panels for ERGMs, for use in <code>netsim</code> modeling.

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

Skye Bender-deMoll

Chad Klumb

sim_nets_t1 function

<dl><dt>x</dt>
<dd>An <code>EpiModel</code> object of class <code>netest</code>.</dd>
<dt>dat</dt>
<dd>A master object passed through <code>netsim</code>.</dd>
<dt>nsteps</dt>
<dd>For TERGMs, the number of time steps to simulate the network
over; for ERGMs, the number of independent network panels to simulate.</dd></dl>

Arguments

Simulate Initial Network at Time 1 for Model Initialization — sim_nets_t1

<dl>

<dt>x</dt>
<dd>An <code>EpiModel</code> object of class <code>netest</code>.</dd>


<dt>dat</dt>
<dd>A master object passed through <code>netsim</code>.</dd>


<dt>nsteps</dt>
<dd>For TERGMs, the number of time steps to simulate the network
over; for ERGMs, the number of independent network panels to simulate.</dd>

</dl>

sim_nets_t1: Simulate Initial Network at Time 1 for Model Initialization

Description

Usage

Arguments