infection.icm.bip

This function simulates the main infection process given the
 current state of the actors in the system.

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

Skye Bender-deMoll

Chad Klumb

infection.icm.bip function

<dl><dt>dat</dt>
<dd>Master data list object.</dd>
<dt>at</dt>
<dd>Current time step.</dd></dl>

Arguments

Primary Infection Module for icm — infection.icm.bip

<dl>

<dt>dat</dt>
<dd>Master data list object.</dd>


<dt>at</dt>
<dd>Current time step.</dd>

</dl>

infection.icm.bip: Primary Infection Module for icm

Description

Usage

Arguments