elementary_algorithms {pomp}  R Documentation 
Elementary computations on POMP models.
Description
In pomp, elementary algorithms perform POMP model operations. These operations do not themselves estimate parameters, though they may be instrumental in inference methods.
Details
There are six elementary algorithms in pomp:

simulate
which simulates from the joint distribution of latent and observed variables, 
pfilter
, which performs a simple particle filter operation, 
wpfilter
, which performs a weighted particle filter operation, 
probe
, which computes a suite of userspecified summary statistics on actual and simulated data, 
spect
, which performs a powerspectral density function computation on actual and simulated data, 
trajectory
, which iterates or integrates the deterministic skeleton according to whether the latter is a (discretetime) map or a (continuoustime) vectorfield.
Help pages detailing each elementary algorithm component are provided.
See Also
basic model components, workhorse functions, estimation algorithms.
More on pomp elementary algorithms:
kalman
,
pfilter()
,
pomppackage
,
probe()
,
simulate()
,
spect()
,
trajectory()
,
wpfilter()