update_unique_ids

This function is called by <code>append_core_attr</code> and
appends new <code>unique_ids</code> to the created nodes. It also keeps track of
the already used <code>unique_ids</code> with the <code>dat$run$last_unique_id</code>
variable.

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

update_unique_ids 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>n.new</dt>
<dd>The number of new nodes to give <code>unique_ids</code> to.</dd></dl>

Arguments

Create the Unique Identifiers for New Nodes — update_unique_ids

<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>n.new</dt>
<dd>The number of new nodes to give <code>unique_ids</code> to.</dd>

</dl>

update_unique_ids: Create the Unique Identifiers for New Nodes

Description

Usage

Value

Arguments