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

1 |

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

`mod` |
an object of class |

`debug` |
if |

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

.

The function returns the negative of the loglikelihood.

The observation variance `V`

in `mod`

must be nonsingular.

Giovanni Petris GPetris@uark.edu

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

`dlmMLE`

, `dlmFilter`

for the definition of
the equations of the model.

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

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