auto_update_attr

Updates the vertex attributes on a network for new nodes
 incoming into that network, based on a set of rules for each
 attribute that the user specifies in <code>control.net</code>.

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

auto_update_attr function

<dl><dt>dat</dt>
<dd>Master object in <code>netsim</code> simulations.</dd>
<dt>newNodes</dt>
<dd>Vector of nodal IDs for incoming nodes at the current time
step.</dd>
<dt>curr.tab</dt>
<dd>Current proportional distribution of all vertex attributes.</dd></dl>

Arguments

Updates Vertex Attributes for Incoming Vertices — auto_update_attr

<dl>

<dt>dat</dt>
<dd>Master object in <code>netsim</code> simulations.</dd>


<dt>newNodes</dt>
<dd>Vector of nodal IDs for incoming nodes at the current time
step.</dd>


<dt>curr.tab</dt>
<dd>Current proportional distribution of all vertex attributes.</dd>

</dl>

auto_update_attr: Updates Vertex Attributes for Incoming Vertices

Description

Usage

Arguments

See Also