arrive_nodes

Arrive New Nodes to the netsim_dat Object

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

arrive_nodes function

<dl><dt>dat</dt>
<dd>the <code>netsim_dat</code> object</dd>
<dt>nArrivals</dt>
<dd>number of new nodes to arrive</dd></dl>

Arguments

Arrive New Nodes to the netsim_dat Object — arrive_nodes

<dl>

<dt>dat</dt>
<dd>the <code>netsim_dat</code> object</dd>


<dt>nArrivals</dt>
<dd>number of new nodes to arrive</dd>

</dl>

arrive_nodes: Arrive New Nodes to the netsim_dat Object

Description

Usage

Value

Arguments

Details