recovery.icm

<p>This function simulates recovery from the infected state
             either to an distinct recovered state (SIR model type) or back
             to a susceptible state (SIS model type), for use in
             <code><a rd-options="" href="/link/icm?package=EpiModel&version=2.0.1" data-mini-rdoc="EpiModel::icm">icm</a></code>.</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

recovery.icm function

<p>This function simulates recovery from the infected state
             either to an distinct recovered state (SIR model type) or back
             to a susceptible state (SIS model type), for use in
             <code><a rd-options='' href='icm'>icm</a></code>.</p>

Recovery: icm Module — recovery.icm

Recovery: icm Module

recovery.icm: Recovery: icm Module

Description

Usage

Arguments