workhorses {pomp} | R Documentation |
Workhorse functions for the pomp algorithms.
Description
These functions mediate the interface between the user's model and the package algorithms. They are low-level functions that do the work needed by the package's inference methods.
Details
They include
rinit
which samples from the initial-state distribution,
dinit
which evaluates the initial-state density,
dmeasure
which evaluates the measurement model density,
rmeasure
which samples from the measurement model distribution,
emeasure
which computes the expectation of the observed variables conditional on the latent state,
vmeasure
which computes the covariance matrix of the observed variables conditional on the latent state,
dprocess
which evaluates the process model density,
rprocess
which samples from the process model distribution,
dprior
which evaluates the prior probability density,
rprior
which samples from the prior distribution,
skeleton
which evaluates the model's deterministic skeleton,
flow
which iterates or integrates the deterministic skeleton to yield trajectories,
partrans
which performs parameter transformations associated with the model.
Author(s)
Aaron A. King
See Also
basic model components, elementary algorithms, estimation algorithms
More on pomp workhorse functions:
dinit()
,
dmeasure()
,
dprior()
,
dprocess()
,
emeasure()
,
flow()
,
partrans()
,
pomp-package
,
rinit()
,
rmeasure()
,
rprior()
,
rprocess()
,
skeleton()
,
vmeasure()