# logLik.PF_EM

##### Approximate Log-Likelihood from a Particle Filter

Computes the approximate log-likelihood using the forward filter clouds. See
the `vignette("Particle_filtering", "dynamichazard")`

for details.

##### Usage

```
# S3 method for PF_EM
logLik(object, ...)
```# S3 method for PF_clouds
logLik(object, df = NA_real_, nobs = NA_integer_,
...)

##### Arguments

- object
an object of class

`PF_clouds`

or`PF_EM`

.- ...
unused.

- df
degrees of freedom used in the model.

- nobs
integer with number of individuals used to estimate the model.

##### Value

The approximate log-likelihood value given the observed data and set of
parameter used when simulating the clouds. An attribute
`"P(y_t|y_{1:(t-1)})"`

has the \(P(y_t|y_{1:(t-1)})\) terms.

*Documentation reproduced from package dynamichazard, version 0.6.5, License: GPL-2*

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