solve_ode: A Simple Wrapper for lsoda

In bristolmathmodellers/biddmodellingcourse: Practicals and Code for the BIDD Modelling Short Course

Description

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 biddmodellingcourse framework.

Usage

solve_ode(model = NULL, inits = NULL, params = NULL, times = NULL,
  as.data.frame = TRUE, ...)

Arguments

model	A model formated as required by lsoda, see SI_ode for an example.
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 inits is specified as a matrix then params must have the same number of columns
times	A numeric vector of the times for which explict model estimates are required, this does not effect the timestep used by the solver
as.data.frame	A logical (defaults to TRUE) indicating if the results should be returned as a data frame.
...	Additional arguements to pass to lsoda.

Value

A dataframe or lsoda object containing a single or multiple model trajectories

See Also

lsoda SI_ode

Examples

## 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)

bristolmathmodellers/biddmodellingcourse documentation built on May 28, 2019, 7:13 p.m.