SIR.grad: gradient function (solves with S,log(I) for stability)
In bbolker/fitsir: SIR fitting tools
Description
Usage
Arguments
Value
Description
gradient function (solves with S,log(I) for stability)
Usage
1
2
3
SIR.grad(t, x, params)
SIR.grad.sens(t, x, params)
Arguments
t
time vector
x
state vector (with names S, logI)
params
parameter vector (with names beta (scaled transmission rate), N (population size), gamma (recovery/removal rate)
Value
gradient vector for a simple SIR model
bbolker/fitsir documentation built on June 4, 2019, 8:28 a.m.
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Description Usage Arguments Value
Description
gradient function (solves with S,log(I) for stability)
Usage
1 2 3 | SIR.grad(t, x, params)
SIR.grad.sens(t, x, params)
|
Arguments
t |
time vector |
x |
state vector (with names |
params |
parameter vector (with names |
Value
gradient vector for a simple SIR model
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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