inhomoSIRSGillespie: Modified inhomogeneous Gillespie algorithm

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

Description

Uses a modified Gillespie algorithm to simulate the numbers of susceptible and infected individuals forward in time when value of environmental force of infection changes

Usage

inhomoSIRSGillespie(startState, popSize, startTime, intervalLength, parameters,
  alphas, allbreaks)

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	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
alphas	Numeric vector containing the values of alpha
allbreaks	Numeric vector containing the times at which the value of alpha changes

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.