vmeasure {pomp} | R Documentation |

## vmeasure workhorse

### Description

Return the covariance matrix of the observed variables, given values of the latent states and the parameters.

### Usage

```
## S4 method for signature 'pomp'
vmeasure(
object,
x = states(object),
times = time(object),
params = coef(object),
...
)
```

### Arguments

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

`x` |
an array containing states of the unobserved process.
The dimensions of |

`times` |
a numeric vector (length |

`params` |
a |

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

### Value

`vmeasure`

returns a rank-4 array of dimensions
`nobs`

x `nobs`

x `nrep`

x `ntimes`

,
where `nobs`

is the number of observed variables.
If `v`

is the returned array, `v[,,j,k]`

contains the
covariance matrix at time `times[k]`

given the state `x[,j,k]`

.

### See Also

Specification of the measurement-model covariance matrix: vmeasure_spec

More on pomp workhorse functions:
`dinit()`

,
`dmeasure()`

,
`dprior()`

,
`dprocess()`

,
`emeasure()`

,
`flow()`

,
`partrans()`

,
`pomp-package`

,
`rinit()`

,
`rmeasure()`

,
`rprior()`

,
`rprocess()`

,
`skeleton()`

,
`workhorses`

*pomp*version 5.11.0.0 Index]