arrivals.icm.bip

<p>This function simulates arrival for use in <code><a rd-options="" href="/link/icm?package=EpiModel&version=2.0.1" data-mini-rdoc="EpiModel::icm">icm</a></code>
             simulations.</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

arrivals.icm.bip function

<p>This function simulates arrival for use in <code><a rd-options='' href='icm'>icm</a></code>
             simulations.</p>

Arrivals: bipartite icm Module — arrivals.icm.bip

Arrivals: bipartite icm Module

arrivals.icm.bip: Arrivals: bipartite icm Module

Description

Usage

Arguments

See Also