simHM

a <code><a rd-options="" href="/link/data.frame?package=hybridModels&version=0.3.7" data-mini-rdoc="hybridModels::data.frame">data.frame</a></code> with variables that describe
the donor node, the receiver node, the time when each connection between
donor to the receiver happened and the number of individual or weight of
these connection.

network

Number of repetitions.The default value is 1

sim.number

number of threads/cores that the simulation will use. the
default value is num.cores = 'max', the Algorithm will use all
threads/cores available.

num.cores

It indicates whether to return all dates or just the dates
when nodes get connected.

fill.time

<code>simHM</code> is generic function that calls a method to run the
 simulation base on object's class

Simulates stochastic hybrid models for transmission of infectious
diseases in dynamic networks. It is a metapopulation model in which each
node in the network is a sub-population and disease spreads within nodes
and among them, combining two approaches: stochastic simulation algorithm
(<doi:10.1146/annurev.physchem.58.032806.104637>) and individual-based
approach, respectively. Equations that models spread within nodes are
customizable and there are two link types among nodes: migration and
influence (commuting). More information in Fernando S. Marques,
Jose H. H. Grisi-Filho, Marcos Amaku et al. (2020) <doi:10.18637/jss.v094.i06>.

Fernando S Marques

hybridModels

An R Package for the Stochastic Simulation of Disease Spreading
in Dynamic Networks

Fernando S. Marques

Jose H. H. Grisi-Filho

Marcos Amaku

simHM function

a <code><a rd-options='' href='data.frame'>data.frame</a></code> with variables that describe
the donor node, the receiver node, the time when each connection between
donor to the receiver happened and the number of individual or weight of
these connection.

simHM: It runs the chosen hybrid model.

Description

Usage

Arguments

Value

References

See Also