ModPoissonTLforSIWR: Modified homogeneous Poisson tau-leaping algorithm for SIWR...

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 S, I, W, and R forward in time when value of environmental force of infection remains constant

Usage

ModPoissonTLforSIWR(startState, popSize, Wmax, startTime, intervalLength,
  parameters, alpha, deltatint, ncrit)

Arguments

startState	Integer vector of size three containing the initial values for S, I, and W
popSize	Population size
startTime	Start time of simulation
intervalLength	Length of simulation interval
parameters	Numeric vector of size six containing the current values of the infectious contact rate, betaW, the recovery rate, the rate at which immunity is lost, kappa, and eta
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 values of S, I, and W at the end of the simulation interval

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