crosscheck.net

This function checks that the estimation object from
<code>netest</code> and the three parameter lists from
<code>param.net</code>, <code>init.net</code>, and
<code>control.net</code> are consistent.

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

crosscheck.net function

<dl><dt>x</dt>
<dd>An <code>EpiModel</code> object of class <code>netest</code>.</dd>
<dt>param</dt>
<dd>An <code>EpiModel</code> object of class <code>param.net</code>.</dd>
<dt>init</dt>
<dd>An <code>EpiModel</code> object of class <code>init.net</code>.</dd>
<dt>control</dt>
<dd>An <code>EpiModel</code> object of class <code>control.net</code>.</dd></dl>

Arguments

Cross Checking of Inputs for Stochastic Network Models — crosscheck.net

<dl>

<dt>x</dt>
<dd>An <code>EpiModel</code> object of class <code>netest</code>.</dd>


<dt>param</dt>
<dd>An <code>EpiModel</code> object of class <code>param.net</code>.</dd>


<dt>init</dt>
<dd>An <code>EpiModel</code> object of class <code>init.net</code>.</dd>


<dt>control</dt>
<dd>An <code>EpiModel</code> object of class <code>control.net</code>.</dd>

</dl>

crosscheck.net: Cross Checking of Inputs for Stochastic Network Models

Description

Usage

Value

Arguments