sirAgemod | R Documentation |
Gradient-function for the age-structured SIR model with possibly heterogeneous mixing
sirAgemod(t, logx, parameters)
t |
Implicit argument for time |
logx |
A vector with initial values for the log-states |
parameters |
A named list with parameter values for the age-structured SIR system. N is population size, gamma is recovery rate, mu is birth/death rate, beta is transmission rate, W is the normalized contact matrix, v is vector of age-class specific vaccination rates and r is class-specific aging rates (since age brackets may differ in width). |
A list of gradients
ra=rep(1,4) n=length(ra) W=matrix(1, ncol=4, nrow=4) paras =list(N=1, gamma=365/14, mu=0.02, beta=500, W=W,v=rep(0,4), r=ra) xstart=log(c(S=rep(0.099/n,n), I=rep(0.001/n,n), R=rep(0.9/n,n))) times=seq(0,10,by=14/365) out=as.data.frame(ode(xstart, times, sirAgemod, paras))
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