Brief summary of SimInf_model
Examples
## Create an 'SIR' model with 10 nodes and initialise
## it to run over 100 days.
model <- SIR(u0 = data.frame(S = rep(99, 10),
I = rep(1, 10),
R = rep(0, 10)),
tspan = 1:100,
beta = 0.16,
gamma = 0.077)
## Brief summary of the model
model
#> Model: SIR
#> Number of nodes: 10
#> Number of transitions: 2
#> Number of scheduled events: 0
#>
#> Local data
#> ----------
#> Parameter Value
#> beta 0.160
#> gamma 0.077
#>
#> Compartments
#> ------------
#> - Empty, please run the model first
## Run the model and save the result
result <- run(model)
## Brief summary of the result. Note that 'U' and 'V' are
## non-empty after running the model.
result
#> Model: SIR
#> Number of nodes: 10
#> Number of transitions: 2
#> Number of scheduled events: 0
#>
#> Local data
#> ----------
#> Parameter Value
#> beta 0.160
#> gamma 0.077
#>
#> Compartments
#> ------------
#> Min. 1st Qu. Median Mean 3rd Qu. Max.
#> S 15.00 56.00 97.00 77.66 98.00 99.00
#> I 0.00 0.00 1.00 5.35 10.00 28.00
#> R 0.00 1.00 3.00 17.00 28.25 84.00