prevalence.icm.bip

<p>This function provides all active model state sizes from
             the network at the specified time step, output to a list of
             vectors.</p>

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.

Samuel Jenness

EpiModel

Mathematical Modeling of Infectious Disease Dynamics

Steven M. Goodreau

Martina Morris

Emily Beylerian

Skye Bender-deMoll

Kevin Weiss

Shawnee Anderson

prevalence.icm.bip function

Get Epidemic Output from icm Model — prevalence.icm.bip

Get Epidemic Output from icm Model

prevalence.icm.bip: Get Epidemic Output from icm Model

Description

Usage

Arguments