solve_ode | R Documentation |
This function acts as a simple wrapper for lsoda, allowing for multiple parameter sets and
initial conditions. It also allows lsoda
to be used within the idmodelr framework.
solve_ode( model = NULL, inits = NULL, params = NULL, times = NULL, as.data.frame = TRUE, ... )
model |
A model formatted as required by |
inits |
The initial state (states) of the model. Can either be supplied as a named vector or as a matrix with each row representing a parameter. |
params |
A named vector or matrix of parameters. The matrix must have a row for each parameter and if |
times |
A numeric vector of the times for which explicit model estimates are required, this does not effect the timestep used by the solver |
as.data.frame |
A logical (defaults to |
... |
Additional arguments to pass to |
A dataframe or lsoda object containing a single or multiple model trajectories
lsoda
SI_ode
## Intialise N = 100000 I_0 = 1 S_0 = N - I_0 R_0 = 1.1 beta = R_0 ##Time for model to run over tbegin = 0 tend = 50 times <- seq(tbegin, tend, 1) ##Vectorise input parameters <- as.matrix(c(beta = beta)) inits <- as.matrix(c(S = S_0, I = I_0)) solve_ode(model = SI_ode, inits, parameters, times, as.data.frame = TRUE)
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