rprocess-pomp: Simulate the process model of a partially-observed Markov process
Description
The method rprocess runs simulations of the the process-model portion of partially-observed Markov process.
This function is part of the low-level interface to pomp objects.
This help page does not give instructions on the implementation of models: see pomp for instructions.Usage
## S3 method for class 'pomp':
rprocess(object, xstart, times, params, offset, \dots)
Value
rprocess returns a rank-3 array with rownames.
Suppose x is the array returned.
Then dim(x)=c(nvars,nreps,ntimes-offset), where nvars is the number of state variables (=nrow(xstart)), nreps is the number of independent realizations simulated (=ncol(xstart)), 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+offset].
The rownames of x must correspond to those of xstart.
Details
This function is essentially a wrapper around the user-supplied rprocess slot of the pomp object.
For specifications on writing such a function, see pomp.