dprocess {pomp} | R Documentation |
Evaluates the probability density of a sequence of consecutive state transitions.
## S4 method for signature 'pomp' dprocess(object, x, times, params, ..., log = FALSE)
object |
an object of class ‘pomp’, or of a class that extends ‘pomp’.
This will typically be the output of |
x |
an array containing states of the unobserved process.
The dimensions of |
times |
a numeric vector (length |
params |
a |
... |
additional arguments are ignored. |
log |
if TRUE, log probabilities are returned. |
dprocess
returns a matrix of dimensions nrep
x ntimes-1
.
If d
is the returned matrix, d[j,k]
is the likelihood (or the log likelihood if log=TRUE
) of the transition from state x[,j,k-1]
at time times[k-1]
to state x[,j,k]
at time times[k]
.
Specification of the process-model density evaluator: dprocess_spec
Other pomp workhorses: dmeasure
,
dprior
, flow
,
partrans
, rinit
,
rmeasure
, rprior
,
rprocess
, skeleton
,
workhorses