test_icm

Tests whether the model output from an individual contact model
is consistent with key balancing equations for compartment and
flow sizes for each simulation for each time step.

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

test_icm function

<dl><dt>x</dt>
<dd>An object of class <code>icm</code>.</dd></dl>

Arguments

Test the Model Output from a Stochastic Individual Contact Model — test_icm

<dl>

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

</dl>

test_icm: Test the Model Output from a Stochastic Individual Contact Model

Description

Usage

Arguments