| rprocess | R Documentation |
rprocess simulates the process-model portion of partially-observed Markov process.
## S4 method for signature 'pomp'
rprocess(
object,
...,
x0 = rinit(object),
t0 = timezero(object),
times = time(object),
params = coef(object)
)
object |
an object of class ‘pomp’, or of a class that extends ‘pomp’.
This will typically be the output of |
... |
additional arguments are ignored. |
x0 |
an |
t0 |
the initial time, i.e., the time corresponding to the state in |
times |
a numeric vector (length |
params |
a |
When rprocess is called, t0 is taken to be the initial time (i.e., that corresponding to x0).
The values in times are the times at which the state of the simulated processes are required.
rprocess returns a rank-3 array with rownames.
Suppose x is the array returned.
Then
dim(x)=c(nvars,nrep,ntimes),
where nvars is the number of state variables (=nrow(x0)),
nrep is the number of independent realizations simulated (=ncol(x0)), and
ntimes is the length of the vector times.
x[,j,k] is the value of the state process in the j-th realization at time times[k].
The rownames of x will correspond to those of x0.
Specification of the process-model simulator: rprocess_spec
More on pomp workhorse functions:
dinit(),
dmeasure(),
dprior(),
dprocess(),
emeasure(),
flow(),
partrans(),
pomp-package,
rinit(),
rmeasure(),
rprior(),
skeleton(),
vmeasure(),
workhorses
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