Description Usage Arguments Details Value References See Also Examples
View source: R/SIRAdditiveNoise.R
Solves a SIR model with constant additive noise added to the transmission rate.
1 
pars 

init 

time 
time sequence for which output is wanted; the first value of times must be the initial time. 
step 
step size to set the integration step and to scale the noise term. 
... 
further arguments passed to ode function. 
This is the R version of program 6.1 from page 194 of "Modeling Infectious Disease in humans and animals" by Keeling & Rohani.
list
. The first element, *$model
, is the model function. The second, third and fourth elements are the vectors *$pars
, *$init
and *$time
, containing the pars
, init
and time
arguments of the function. The fifth element *$results
is a data.frame
with up to as many rows as elements in time. First column contains the time. Second and third columns contain the number of susceptibles and recovered.
Keeling, Matt J., and Pejman Rohani. Modeling infectious diseases in humans and animals. Princeton University Press, 2008. Modeling Infectious Diseases in Humans and Animals
ode.
1 2 3 4 5 6 7 8 9  # Parameters and initial conditions.
parameters < c(beta = 1, gamma = 1 / 10, mu = 1 / (50 * 365),
noise = 10, N = 1e6)
initials < c(X = 1e5, Y = 500)
# Solve and plot.
sir.additive.noise < SIRAdditiveNoise(pars = parameters, init = initials,
time = 0:(2 * 365), step = 1)
PlotMods(sir.additive.noise)

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