u0_SIR {SimInf} | R Documentation |
Example data to initialize the ‘SIR’ model
Description
Example data to initialize a population of 1600 nodes and
demonstrate the SIR
model.
Usage
u0_SIR()
Details
A data.frame
with the number of individuals in the
‘S’, ‘I’ and ‘R’ compartments in 1600
nodes. Note that the ‘I’ and ‘R’ compartments are
zero.
Value
A data.frame
Examples
## Not run:
## For reproducibility, call the set.seed() function and specify
## the number of threads to use. To use all available threads,
## remove the set_num_threads() call.
set.seed(123)
set_num_threads(1)
## Create an 'SIR' model with 1600 nodes and initialize
## it to run over 4*365 days. Add one infected individual
## to the first node.
u0 <- u0_SIR()
u0$I[1] <- 1
tspan <- seq(from = 1, to = 4*365, by = 1)
model <- SIR(u0 = u0,
tspan = tspan,
events = events_SIR(),
beta = 0.16,
gamma = 0.01)
## Run the model to generate a single stochastic trajectory.
result <- run(model)
plot(result)
## Summarize trajectory
summary(result)
## End(Not run)
[Package SimInf version 9.8.1 Index]