flow | R Documentation |
Compute the flow generated by a deterministic vectorfield or map.
## S4 method for signature 'pomp'
flow(
object,
x0,
t0 = timezero(object),
times = time(object),
params = coef(object),
...,
verbose = getOption("verbose", FALSE)
)
object |
an object of class ‘pomp’, or of a class that extends ‘pomp’.
This will typically be the output of |
x0 |
an array with dimensions |
t0 |
the time at which the initial conditions are assumed to hold.
By default, this is the zero-time (see |
times |
a numeric vector (length |
params |
a |
... |
Additional arguments are passed to the ODE integrator (if the skeleton is a vectorfield) and are ignored if it is a map.
See |
verbose |
logical; if |
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.
flow
returns an array of dimensions nvar
x nrep
x ntimes
.
If x
is the returned matrix, x[i,j,k]
is the i-th component of the state vector at time times[k]
given parameters params[,j]
.
More on pomp workhorse functions:
dinit()
,
dmeasure()
,
dprior()
,
dprocess()
,
emeasure()
,
partrans()
,
pomp-package
,
rinit()
,
rmeasure()
,
rprior()
,
rprocess()
,
skeleton()
,
vmeasure()
,
workhorses
More on methods for deterministic process models:
skeleton()
,
skeleton_spec
,
traj_match
,
trajectory()
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