network_initialize

Initialize an undirected network object for use in EpiModel
 workflows.

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

network_initialize function

<dl><dt>n</dt>
<dd>Network size.</dd>
<dt>directed</dt>
<dd>logical; should edges be interpreted as directed?</dd>
<dt>hyper</dt>
<dd>logical; are hyperedges allowed?</dd>
<dt>loops</dt>
<dd>logical; should loops be allowed?</dd>
<dt>multiple</dt>
<dd>logical; are multiplex edges allowed?</dd>
<dt>bipartite</dt>
<dd>count; should the network be interpreted as bipartite? If
present (i.e., non-NULL) it is the count of the number of actors in
the first mode of the bipartite network. In this case, the overall
number of vertices is equal to the number of 'actors' (first mode)
plus the number of ‘events’ (second mode), with the vertex.ids of all
actors preceeding all events. The edges are then interpreted as
nondirected.</dd></dl>

Arguments

Initialize Network Object — network_initialize

<dl>

<dt>n</dt>
<dd>Network size.</dd>


<dt>directed</dt>
<dd>logical; should edges be interpreted as directed?</dd>


<dt>hyper</dt>
<dd>logical; are hyperedges allowed?</dd>


<dt>loops</dt>
<dd>logical; should loops be allowed?</dd>


<dt>multiple</dt>
<dd>logical; are multiplex edges allowed?</dd>


<dt>bipartite</dt>
<dd>count; should the network be interpreted as bipartite? If
present (i.e., non-NULL) it is the count of the number of actors in
the first mode of the bipartite network. In this case, the overall
number of vertices is equal to the number of 'actors' (first mode)
plus the number of ‘events’ (second mode), with the vertex.ids of all
actors preceeding all events. The edges are then interpreted as
nondirected.</dd>

</dl>

network_initialize: Initialize Network Object

Description

Usage

Value

Arguments

Details

Examples