# logLik.slrm

0th

Percentile

##### Loglikelihood of Spatial Logistic Regression

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

Keywords
models, methods, spatial
##### Usage
# S3 method for slrm
logLik(object, ..., adjust = TRUE)
##### Arguments
object

a fitted spatial logistic regression model. An object of class "slrm".

Ignored.

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.

slrm

• logLik.slrm
##### Examples
# NOT RUN {
X <- rpoispp(42)
fit <- slrm(X ~ x+y)
logLik(fit)