workhorses: Workhorse functions for the 'pomp' algorithms.
In kidusasfaw/pomp: Statistical Inference for Partially Observed Markov Processes

Description Details Author(s) See Also

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.

They include

dmeasure: which evaluates the measurement model density,
rmeasure: which samples from the measurement model distribution,
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,
partrans: which performs parameter transformations associated with the model.