GillespieSIR: Sample SIR data
In Tandethsquire/emulatorr: Emulation and History Matching Package
Description
A small dataset containing points generated using the Gillespie algorithm.
The SIR model contains three input parameters, and generates three output
parameters. The initial populations are 950 susceptible (S), 50 infected (I),
and 0 recovered (R). The final values are taken at time t=20.
Usage
1
Format
A data frame with 30 rows and 6 variables:
- aSI
Infection: transition rate from S to I
- aIR
Recovery: transition rate from I to R
- aSR
Immunisation: transition rate from S to R
- nS
Final number of S
- nI
Final number of I
- nR
Final number of R
Tandethsquire/emulatorr documentation built on April 12, 2021, 1:08 a.m.
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Description
A small dataset containing points generated using the Gillespie algorithm. The SIR model contains three input parameters, and generates three output parameters. The initial populations are 950 susceptible (S), 50 infected (I), and 0 recovered (R). The final values are taken at time t=20.
Usage
1 |
Format
A data frame with 30 rows and 6 variables:
- aSI
Infection: transition rate from S to I
- aIR
Recovery: transition rate from I to R
- aSR
Immunisation: transition rate from S to R
- nS
Final number of S
- nI
Final number of I
- nR
Final number of R
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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