ModPoissonTL: Modified homogeneous Poisson tau-leaping algorithm

In vnminin/bayessir: Particle marginal Metropolis-Hastings (PMMH) algorithm for time-varying Susceptible-Infectious-Recovered-Susceptible (SIRS) model

Description

Modified Poisson tau-leaping algorithm. Uses a tau-leaping algorithm to simulate the numbers of susceptible and infected individuals forward in time when value of environmental force of infection remains constant

Usage

ModPoissonTL(startState, popSize, startTime, intervalLength, parameters, alpha,
  deltatint, ncrit)

Arguments

startState	Integer vector of size two containing the initial number of susceptible and infected individuals respectively
popSize	Population size
startTime	Start time of simulation
intervalLength	Length of simulation interval
parameters	parameters Numeric vector of size seven containing the current values of the infectious contact rate, the recovery rate, the rate at which immunity is lost, and the powers
alpha	The value of the time-varying environmental force of infection
deltatint	Initial value to use for tau in tau-leaping algorithm
ncrit	Critical number

Value

Vector containing number of susceptible and infected at the end of the simulation interval

vnminin/bayessir documentation built on May 3, 2019, 6:17 p.m.