dprior {pomp} | R Documentation |

## dprior workhorse

### Description

Evaluates the prior probability density.

### Usage

```
## S4 method for signature 'pomp'
dprior(object, params = coef(object), ..., log = FALSE)
```

### Arguments

`object` |
an object of class ‘pomp’, or of a class that extends ‘pomp’.
This will typically be the output of |

`params` |
a |

`...` |
additional arguments are ignored. |

`log` |
if TRUE, log probabilities are returned. |

### Value

The required density (or log density), as a numeric vector.

### See Also

Specification of the prior density evaluator: prior_spec

More on pomp workhorse functions:
`dinit()`

,
`dmeasure()`

,
`dprocess()`

,
`emeasure()`

,
`flow()`

,
`partrans()`

,
`pomp-package`

,
`rinit()`

,
`rmeasure()`

,
`rprior()`

,
`rprocess()`

,
`skeleton()`

,
`vmeasure()`

,
`workhorses`

More on Bayesian methods:
`abc()`

,
`bsmc2()`

,
`pmcmc()`

,
`prior_spec`

,
`rprior()`

*pomp*version 5.11.0.0 Index]