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
nsims x ntimes , where nvars is the number of
state variables, nsims is the number of replicates, and
ntimes is the length of times . Note that if
nsims != 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. |
Returns a matrix of dimensions nsims
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)