| elementary_algorithms {pomp} | 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()