sis_simulation: Run a Susceptible -> Infective - Susceptible (SIS) simulation
In tjtnew/simnetR: Epidemic Simulations on Networks
Description
Usage
Arguments
Value
Examples
Description
sis_simulation is a generic function that takes a graph represented
either by an adjacency matrix (of class simnetr_matrix) or an adjacency list
(of class simnetr_list) and simulates an SIS simulation for a given rate of
infection, rate of recovery and duration.
Usage
1
sis_simulation(graph, tau, gam, max_time, i0)
Arguments
graph
The representation of the network.
tau
Per link infection rate.
gam
Per node recovery rate.
max_time
Maximum simulation runtime.
i0
Initial number of infective individuals
Value
list containing timeseries of events and the corresponding timeseries
of number of infectious individual.
Examples
1
2
graph <- erdos_matrix_r(N = 1000, avk = 7)
ts <- sis_simulation(graph, tau = 0.5, gam = 1, max_time = 5, i0 = 50, N = 1000)
tjtnew/simnetR documentation built on May 12, 2019, 4:20 p.m.
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Description Usage Arguments Value Examples
Description
sis_simulation is a generic function that takes a graph represented
either by an adjacency matrix (of class simnetr_matrix) or an adjacency list
(of class simnetr_list) and simulates an SIS simulation for a given rate of
infection, rate of recovery and duration.
Usage
1 | sis_simulation(graph, tau, gam, max_time, i0)
|
Arguments
graph |
The representation of the network. |
tau |
Per link infection rate. |
gam |
Per node recovery rate. |
max_time |
Maximum simulation runtime. |
i0 |
Initial number of infective individuals |
Value
list containing timeseries of events and the corresponding timeseries of number of infectious individual.
Examples
1 2 | graph <- erdos_matrix_r(N = 1000, avk = 7)
ts <- sis_simulation(graph, tau = 0.5, gam = 1, max_time = 5, i0 = 50, N = 1000)
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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