# Log likelihood evaluation for a state space model

### Description

Function that computes the log likelihood of a state space model.

### Usage

1 |

### Arguments

`y` |
a vector, matrix, or time series of data. |

`mod` |
an object of class |

`debug` |
if |

### Details

The calculations are based on singular value decomposition.
Missing values are allowed in `y`

.

### Value

The function returns the negative of the loglikelihood.

### Warning

The observation variance `V`

in `mod`

must be nonsingular.

### Author(s)

Giovanni Petris GPetris@uark.edu

### References

Durbin and Koopman, Time series analysis by state space methods, Oxford University Press, 2001.

### See Also

`dlmMLE`

, `dlmFilter`

for the definition of
the equations of the model.

### Examples

1 | ```
##---- See the examples for dlmMLE ----
``` |