sim_nets

An <code>EpiModel</code> object of class <code><a rd-options="" href="/link/netest?package=EpiModel&version=2.0.1" data-mini-rdoc="EpiModel::netest">netest</a></code>.

A <code>networkDynamic</code> object.

Number of time steps to simulate the network over.

nsteps

An <code>EpiModel</code> object of class <code><a rd-options="" href="/link/control.net?package=EpiModel&version=2.0.1" data-mini-rdoc="EpiModel::control.net">control.net</a></code>.

control

Number of independent network simulations.

nsims

This function simulates a dynamic network over one or multiple
 time steps, to be used in <code><a rd-options="" href="/link/netsim?package=EpiModel&version=2.0.1" data-mini-rdoc="EpiModel::netsim">netsim</a></code> models.

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.

Samuel Jenness

EpiModel

Mathematical Modeling of Infectious Disease Dynamics

Steven M. Goodreau

Martina Morris

Emily Beylerian

Skye Bender-deMoll

Kevin Weiss

Shawnee Anderson

sim_nets function

An <code>EpiModel</code> object of class <code><a rd-options='' href='netest'>netest</a></code>.

An <code>EpiModel</code> object of class <code><a rd-options='' href='control.net'>control.net</a></code>.

This function simulates a dynamic network over one or multiple
 time steps, to be used in <code><a rd-options='' href='netsim'>netsim</a></code> models.

sim_nets: Simulate Dynamic Network at Time 1

Description

Usage

Arguments