| dprocess-pomp {pomp} | R Documentation |
The method dprocess evaluates the probability density of a set of consecutive state transitions.
dprocess(object, x, times, params, log = FALSE, ...) ## S4 method for signature 'pomp': dprocess(object, x, times, params, log = FALSE, ...)
object |
an object of class pomp. |
x |
a rank-3 array containing the states of the unobserved process.
The dimensions of x are nvars x nreps x ntimes, where nvars is the number of state variables, nreps is the number of replicates, and ntimes is the length of times.
Note that if nreps != nrow(y) or ntimes-1 != length(times), an error is generated.
|
times |
a numeric vector containing the times corresponding to the given states. |
params |
a rank-2 array of parameters with columns corresponding to the columns of x.
Note that the x and params must agree in the number of their columns.
|
log |
if TRUE, probabilities p are given as log(p). |
... |
at present, these are ignored. |
This function is essentially a wrapper around the user-supplied dprocess slot of the pomp object.
For specifications on writing such a function, see pomp.
Returns a matrix of dimensions 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].
Aaron A. King (kingaa at umich dot edu)