dprocess evaluates the probability density of a set of consecutive state transitions.
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.dprocess(object, x, times, params, log = FALSE, ...)
## S3 method for class 'pomp':
dprocess(object, x, times, params, log = FALSE, \dots)nreps x ntimes-1.
If d is the returned matrix, d[j,k] is the likelihood of the transition from state x[,j,k-1] at time times[k-1] to state x[,j,k] at time times[k].dprocess slot of the pomp object.
For specifications on writing such a function, see pomp.pomp-class, pomp