sis_data_f: Example SIS model converted to aggregate format
In skgallagher/EpiCompare: A Pipeline to Analyze and Compare Infectious Disease Epidemics
Description
Usage
Format
Examples
Description
This is a deterministic SIS model where
the infection parameter β = 0.2 and the recovery/re-susceptibility
parameter is ν = 0.05. The initial number of susceptible is S(0) = 499
and the initial number of infectious is I(0)=1. There are 100 steps.
For more details, see <<http://statnet.org/tut/BasicDCMs.html#sis_model_with_sensitivity_analyses>>.
We then use fortify_aggregate() to convert the data to output used with EpiCompare functions.
Usage
1
Format
The object has the following columns
- t
time
- orig_t
original t in simulation
- sim
simulation number
- X0
number of Susceptible
- X1
number of Infectious
Examples
1
2
3
library(EpiModel)
data(sis_data_f)
head(sis_data_f)
skgallagher/EpiCompare documentation built on Sept. 14, 2021, 5:45 a.m.
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Description Usage Format Examples
Description
This is a deterministic SIS model where
the infection parameter β = 0.2 and the recovery/re-susceptibility
parameter is ν = 0.05. The initial number of susceptible is S(0) = 499
and the initial number of infectious is I(0)=1. There are 100 steps.
For more details, see <<http://statnet.org/tut/BasicDCMs.html#sis_model_with_sensitivity_analyses>>.
We then use fortify_aggregate() to convert the data to output used with EpiCompare functions.
Usage
1 |
Format
The object has the following columns
- t
time
- orig_t
original t in simulation
- sim
simulation number
- X0
number of Susceptible
- X1
number of Infectious
Examples
1 2 3 | library(EpiModel)
data(sis_data_f)
head(sis_data_f)
|
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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