IntegrateForward: IntegrateForward
In CollocInfer: Collocation Inference for Dynamic Systems

Description Usage Arguments Value See Also Examples

Solves a differential equation going forward based on a proc object.

1	IntegrateForward(y0,ts,pars,proc,more)

`y0`	Initial conditions to start from.
`ts`	Vector of time points at which to report values of the differential equation solution.
`pars`	Initial values of parameters to be estimated processes.
`proc`	Object defining the state process. This can either be a function evaluating the right hand side of the differential equation or a `proc` object. If a `proc` object is given, `proc$more$fn` is assumed to give the right hand side of the differential equation.
`more`	If `proc` is a function, this contains a list of additional inputs.

Returns the output from solving the differential equation using the lsoda routines. Specifically, it returns a list with elements

times The output times.
states The output states.

Profile.LS, Profile.multinorm

proc = make.SSEproc()
proc$more = make.fhn()
proc$more$names = c('V','R')

y0 = c(-1,1)
names(y0) = c('V','R')

pars = c(0.2,0.2,3)
names(pars) = c('a','b','c')

ts = seq(0,20,0.5)

value = IntegrateForward(y0,ts,pars,proc)

matplot(value$times,value$states)