InitErgmTerm.absdiffnodemix

absdiffnodemix

This function defines and initializes the absdiffnodemix ERGM
term that allows for targeting homophily based on a non-binary
attribute (e.g., age) by combinations of a binary attribute
(e.g., race).

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

InitErgmTerm.absdiffnodemix function

<dl><dt>nw</dt>
<dd>An object of class <code>network</code>.</dd>
<dt>arglist</dt>
<dd>A list of arguments as specified in the <code>ergm.userterms</code>
package framework.</dd>
<dt>...</dt>
<dd>Additional data passed into the function as specified in the
<code>ergm.userterms</code> package framework.</dd></dl>

Arguments

Definition for absdiffnodemix ERGM Term — InitErgmTerm.absdiffnodemix

<dl>

<dt>nw</dt>
<dd>An object of class <code>network</code>.</dd>


<dt>arglist</dt>
<dd>A list of arguments as specified in the <code>ergm.userterms</code>
package framework.</dd>


<dt>...</dt>
<dd>Additional data passed into the function as specified in the
<code>ergm.userterms</code> package framework.</dd>

</dl>

InitErgmTerm.absdiffnodemix: Definition for absdiffnodemix ERGM Term

Description

Usage

Arguments

Details