# logLik.slrm

##### Loglikelihood of Spatial Logistic Regression

Computes the (maximised) loglikelihood of a fitted Spatial Logistic Regression model.

##### Usage

```
# S3 method for slrm
logLik(object, ..., adjust = TRUE)
```

##### Arguments

- object
a fitted spatial logistic regression model. An object of class

`"slrm"`

.- …
Ignored.

- adjust
Logical value indicating whether to adjust the loglikelihood of the model to make it comparable with a point process likelihood. See Details.

##### Details

This is a method for `logLik`

for fitted spatial logistic
regression models (objects of class `"slrm"`

, usually obtained
from the function `slrm`

). It computes the log-likelihood
of a fitted spatial logistic regression model.

If `adjust=FALSE`

, the loglikelihood is computed
using the standard formula for the loglikelihood of a
logistic regression model for a finite set of (pixel) observations.

If `adjust=TRUE`

then the loglikelihood is adjusted so that it
is approximately comparable with the likelihood of a point process
in continuous space, by subtracting the value
\(n \log(a)\)
where \(n\) is the number of points in the original point pattern
dataset, and \(a\) is the area of one pixel.

##### Value

A numerical value.

##### See Also

##### Examples

```
# NOT RUN {
X <- rpoispp(42)
fit <- slrm(X ~ x+y)
logLik(fit)
logLik(fit, adjust=FALSE)
# }
```

*Documentation reproduced from package spatstat, version 1.56-1, License: GPL (>= 2)*