Description Usage Arguments Value See Also
dmeasure
evaluates the probability density of observations given states.
1 2 |
object |
an object of class ‘pomp’, or of a class that extends ‘pomp’.
This will typically be the output of |
y |
a matrix containing observations.
The dimensions 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. |
dmeasure
returns a matrix of dimensions nreps
x ntimes
.
If d
is the returned matrix, d[j,k]
is the likelihood (or log likelihood if log = TRUE
) of the observation y[,k]
at time times[k]
given the state x[,j,k]
.
Specification of the measurement density evaluator: dmeasure_spec
Other pomp workhorses: dprior
,
dprocess
, partrans
,
rinit
, rmeasure
,
rprior
, rprocess
,
skeleton
, workhorses
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