logLik.slrm: Loglikelihood of Spatial Logistic Regression

Description

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

Usage

## S3 method for class '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.

Value

A numerical value.

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.

Examples

Run this code

X <- rpoispp(42)
  fit <- slrm(X ~ x+y)
  logLik(fit)
  logLik(fit, adjust=FALSE)

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