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

`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,

`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

`simulate`, `trajectory`, `pfilter`, `probe`

Other pomp workhorses: `dmeasure`, `dprior`, `dprocess`, `flow`, `partrans`, `rinit`, `rmeasure`, `rprior`, `rprocess`, `skeleton`

[Package pomp version 2.3 Index]