elementary_algorithms | R Documentation |
In pomp, elementary algorithms perform POMP model operations. These operations do not themselves estimate parameters, though they may be instrumental in inference methods.
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 user-specified summary statistics on actual and simulated data,
spect
, which performs a power-spectral density function computation on actual and simulated data,
trajectory
, which iterates or integrates the deterministic skeleton according to whether the latter is a (discrete-time) map or a (continuous-time) vectorfield.
Help pages detailing each elementary algorithm component are provided.
basic model components, workhorse functions, estimation algorithms.
More on pomp elementary algorithms:
kalman
,
pfilter()
,
pomp-package
,
probe()
,
simulate()
,
spect()
,
trajectory()
,
wpfilter()
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