R: flow workhorse

flow {pomp}

R Documentation

flow workhorse

Description

Compute the flow generated by a deterministic vectorfield or map.

Usage

## S4 method for signature 'pomp'
flow(
  object,
  x0,
  t0 = timezero(object),
  times = time(object),
  params = coef(object),
  ...,
  verbose = getOption("verbose", FALSE)
)

Arguments

`object`	an object of class ‘pomp’, or of a class that extends ‘pomp’. This will typically be the output of `pomp`, `simulate`, or one of the pomp inference algorithms.
`x0`	an array with dimensions `nvar` x `nrep` giving the initial conditions of the trajectories to be computed.
`t0`	the time at which the initial conditions are assumed to hold. By default, this is the zero-time (see `timezero`).
`times`	a numeric vector (length `ntimes`) containing times at which the itineraries are desired. These must be in non-decreasing order with `times[1]>t0`. By default, this is the full set of observation times (see `time`).
`params`	a `npar` x `nrep` matrix of parameters. Each column is treated as an independent parameter set, in correspondence with the corresponding column of `x`.
`...`	Additional arguments are passed to the ODE integrator (if the skeleton is a vectorfield) and are ignored if it is a map. See `ode` for a description of the additional arguments accepted by the ODE integrator. By default, this is the parameter vector stored in `object` (see `coef`).
`verbose`	logical; if `TRUE`, diagnostic messages will be printed to the console.

Details

In the case of a discrete-time system (map), flow iterates the map to yield trajectories of the system. In the case of a continuous-time system (vectorfield), flow uses the numerical solvers in deSolve to integrate the vectorfield starting from given initial conditions.

Value