| SIR_stochastic {hmer} | R Documentation |
Stochastic SIR Data
Description
An RData object consisting of two data.frames (in a similar fashion to BirthDeath).
The first consists of 30 points in the parameter space (aSI, aIR, aSR), each of which has
been inputted into the Gillespie algorithm for the stochastic version of the model used
in GillespieSIR (but with changed starting conditions) 100 times. The second has
similar form but for 20 unique points, each with 100 repetitions.
Usage
SIR_stochastic
Format
A list of two data.frames training and validation: each has the
following columns:
- aSI
Infection rate
- aIR
Recovery rate
- aSR
Waning immunity rate
- I10 (25, 50)
The number of infected people at t = 10 (25, 50)
- R10 (25, 50)
The number of recovered people at t = 10 (25, 50)
Details
The outputs observed are the numbers of infected (I) and recovered (R) people at time points t = 10, 25, 50. All outputs display some level of bimodality. The initial conditions to generate the runs had S(0)=995, I(0)=5, R(0)=0.