# logLik.ddhazard

##### Log Likelihood of Mean Path of ddhazard Object

Computes the log likelihood of (a potentially new) data set given the estimated: $$E_{\theta}(\alpha_1 | y_{1:d}), E_{\theta}(\alpha_{2} | y_{1:d}), ..., E_{\theta}(\alpha_{d} | y_{1:d})$$

of the `ddhazard`

object. Note that this is not the log likelihood of the observed data given the outcome.

##### Usage

```
# S3 method for ddhazard
logLik(object, data = NULL, id, ...)
```

##### Arguments

- object
an object of class

`ddhazard`

.- data
new data to evaluate the likelihood for.

- id
the individual identifiers as in

`ddhazard`

.- ...
unused.

##### Examples

```
# NOT RUN {
library(dynamichazard)
fit <- ddhazard(
Surv(time, status == 2) ~ log(bili), pbc, id = pbc$id, max_T = 3600,
Q_0 = diag(1, 2), Q = diag(1e-4, 2), by = 50,
control = ddhazard_control(method = "GMA"))
logLik(fit)
# }
```

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

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